<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2025.1619467</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pathological respiratory chemoreflex activation predicts improvement of neurocognitive function in response to continuous positive airway pressure therapy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Yu-Tong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2927268/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ni</surname>
<given-names>Yue-Nan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1155005/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hilmisson</surname>
<given-names>Hugi</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thomas</surname>
<given-names>Robert Joseph</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/16701/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Respiratory, Critical Care and Sleep Medicine, West China School of Medicine and West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Respiratory Care, West China School of Medicine and West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>MyCardio-LLC</institution>, <addr-line>Denver, CO</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center</institution>, <addr-line>Boston, MA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2770589/overview">Craig Canapari</ext-link>, Yale University, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2186479/overview">Ning Ding</ext-link>, Nanjing Medical University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2851906/overview">Wen-Yang Li</ext-link>, The First Affiliated Hospital of China Medical University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2924717/overview">Chen Chen</ext-link>, The First Affiliated Hospital of China Medical University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3122621/overview">Yibing Chen</ext-link>, People's Liberation Army General Hospital, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yue-Nan Ni, <email>vivian940305@foxmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="ecorrected">
<day>13</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1619467</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Hu, Ni, Hilmisson and Thomas.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hu, Ni, Hilmisson and Thomas</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>There is a need for biomarkers predicting neurocognitive improvement following treatment of obstructive sleep apnea (OSA) with continuous positive airway pressure (CPAP). The role of sleep apnea endotypes as predictors are promising.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>To assess the relationship between a high loop gain biomarker, elevated low frequency narrow band (e-LFC<sub>NB</sub>), and improvements in neurocognitive function in the Apnea Positive Pressure Long-term Efficacy Study (APPLES).</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>The e-LFC<sub>NB</sub> % metric was estimated on baseline polysomnography. Logistic regression analysis was performed to identify the potential association between e-LFC<sub>NB</sub>% of total sleep time and the observed improvement in neurocognitive function following the specified treatment.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>A total of 362 subjects received CPAP and had e-LFC<sub>NB</sub> % measurements. For Sustained Working Memory Test-Overall Mid-Day (SWMT-OMD), e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;2.35% correlates positively with the proportion of participants who showed an increase in test scores &#x003E; 0.65 after 2&#x202F;months CPAP treatment (OR: 2.617, 95% CI: 1.095&#x2013;6.252, <italic>p</italic>: 0.030); e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;9.45% correlates positively with improvement in test scores &#x003E; 0.8 after 6&#x202F;months CPAP treatment (OR: 2.553, 95% CI: 1.017&#x2013;6.409, <italic>p</italic>: 0.046). For Buschke Selective Reminding Test sum recall (BSRT-SR), e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;3.65% correlates positively with an increase in test scores &#x003E; 12 after 2&#x202F;months CPAP treatment (OR: 2.696, 95% CI: 1.041&#x2013;6.982, <italic>p</italic>: 0.041). Results of the Pathfinder Number Test-Total Time (PFN-TOTL) were not significant.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>e-LFC<sub>NB</sub>% (probable high loop gain) may be a clinically useful predictor of cognitive improvement following CPAP.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sleep apnea</kwd>
<kwd>positive airway pressure</kwd>
<kwd>cardiopulmonary coupling</kwd>
<kwd>neurocognitive function</kwd>
<kwd>high loop gain</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="10"/>
<word-count count="6771"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Sleep and Circadian Rhythms</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec6">
<title>Background</title>
<p>Obstructive Sleep Apnea (OSA) is a sleep-related respiratory disorder characterized by recurrent collapse of the upper airway during sleep (<xref ref-type="bibr" rid="ref22">McNicholas and Pevernagie, 2022</xref>). This condition often leads to intermittent hypoxia, cytokine activation, dysmetabolism, nocturnal blood pressure surges, and sleep fragmentation (<xref ref-type="bibr" rid="ref17">Kapur et al., 2017</xref>), which are commonly considered contributors to neurocognitive dysfunction associated with OSA (<xref ref-type="bibr" rid="ref13">He et al., 2024</xref>; <xref ref-type="bibr" rid="ref41">Vanek et al., 2020</xref>). There is an extensive body of research indicating that OSA is associated with a broad range of neurocognitive impairments, with the most prevalent reports focusing on memory and new learning, as well as attention and executive function (<xref ref-type="bibr" rid="ref6">Bucks et al., 2013</xref>).</p>
<p>Continuous positive airway pressure (CPAP), which is regarded as the first line therapy for OSA, can improve hypoxia in OSA patients, reduce sleep fragmentation, and reverse sympathetic nerve excitation (<xref ref-type="bibr" rid="ref27">Patil et al., 2019</xref>), but there is controversy regarding whether CPAP can improve cognitive dysfunction caused by OSA (<xref ref-type="bibr" rid="ref6">Bucks et al., 2013</xref>). The existence of complex pathologies especially high loop gain maybe a reason for the failure due to impairment in both effectiveness and adherence (<xref ref-type="bibr" rid="ref26">Ni and Thomas, 2023</xref>; <xref ref-type="bibr" rid="ref7">Cheng et al., 2024</xref>). It is also plausible that pathological respiratory chemoreflex activation and the resulting heightened sympathetic activation and other pleotrophic effects such as oxidative stress, inflammatory response, and neuronal damage (<xref ref-type="bibr" rid="ref21">Lv et al., 2023</xref>) may influence development of neurocognitive dysfunction, and response to treatment.</p>
<p>High loop gain within the respiratory system, a hallmark of unstable respiratory control, typically occurs during non-rapid eye movement sleep (NREM) (<xref ref-type="bibr" rid="ref10">Deacon and Catcheside, 2015</xref>). Research indicates that in patients with OSA, respiratory control is significantly less stable during NREM sleep compared to rapid eye movement sleep (REM). This instability may contribute to cognitive decline via enhancing sleep fragmentation (<xref ref-type="bibr" rid="ref15">Joosten et al., 2021</xref>). Additionally, high loop gain is a marker of carotid body activation, which is often linked to increased sympathetic nerve drive and glucose dysmetabolism (<xref ref-type="bibr" rid="ref16">Joyner et al., 2018</xref>; <xref ref-type="bibr" rid="ref32">Sacramento et al., 2020</xref>). That nighttime sympathetic activation may be an important factor in impairing the neurocognitive functions of patients with OSA has been reported (<xref ref-type="bibr" rid="ref2">Alomri et al., 2021</xref>).</p>
<p>As described in our previous work, narrow band elevated low frequency coupling (e-LFC<sub>NB</sub>) measured by cardiopulmonary coupling sleep spectrograms is a biomarker indicating periodic breathing and central sleep apnea (<xref ref-type="bibr" rid="ref38">Thomas et al., 2007</xref>), indicating high loop gain. Our previous study showed that e-LFC<sub>NB</sub> was a strong predictor for blood pressure dropping after CPAP in OSA (<xref ref-type="bibr" rid="ref25">Ni et al., 2024</xref>). However, whether it influences neurocognitive function improvement by CPAP is not known.</p>
<p>This study conducted a secondary analysis of the Apnea Positive Pressure Long-term Efficacy Study (APPLES). Our hypothesis was that e-LFC<sub>NB</sub>%, as a marker of unstable respiratory control and a sign of carotid body activation, could predict neurocognitive change with CPAP.</p>
</sec>
<sec sec-type="methods" id="sec7">
<title>Method</title>
<sec id="sec8">
<title>Study design</title>
<p>This study utilized data from the Apnea Long-Term Efficacy Study (APPLES), a multicenter, randomized, double-blind trial with a two-arm, sham-controlled design aimed at assessing the impact of CPAP compared to sham CPAP on cognitive function. A secondary analysis was performed following approval from the Institutional Review Board, leveraging data available through the National Sleep Research Resource (NSRR) at: <ext-link xlink:href="http://www.sleepdata.org" ext-link-type="uri">www.sleepdata.org</ext-link>. The study&#x2019;s methodology and primary findings have been thoroughly documented in a prior publication (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>).</p>
</sec>
<sec id="sec9">
<title>CPAP treatment</title>
<p>Participants assigned to the CPAP group underwent an overnight sleep laboratory study to determine the optimal therapeutic pressure. They were equipped with a REMstar Pro CPAP system featuring heated humidification, along with the necessary mask and tubing. Meanwhile, those in the control group received sham CPAP. To monitor adherence, a Respironics<sup>&#x00AE;</sup> Encore<sup>&#x00AE;</sup> Pro SmartCard<sup>&#x00AE;</sup> was used, and adherence data from the two months leading up to follow-up visits were collected and analyzed.</p>
</sec>
<sec id="sec10">
<title>Participants</title>
<p>The criteria for participant inclusion and exclusion have been previously outlined (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>). Inclusion criteria included: (1) an apnea hypopnea index (AHI)&#x202F;&#x2265;&#x202F;10 as determined by polysomnography (PSG); (2) age &#x2265; 18&#x202F;years. The main exclusion criteria were: (1) prior use of CPAP, oxygen desaturation on PSG below 75% for more than 10% of the recording time; (2) history of a motor vehicle accident attributed to sleepiness, presence of several chronic medical conditions, and use of medications potentially impacting sleep or neurocognitive function.</p>
</sec>
<sec id="sec11">
<title>Scoring of respiratory events</title>
<p>Apneas and hypopneas were scored based on the <xref ref-type="bibr" rid="ref9001">American Academy of Sleep Medicine (1999)</xref> criteria. An apnea was characterized by a reduction of more than 90% in nasal pressure signal amplitude from baseline, lasting at least 10&#x202F;s. Hypopneas were defined as either a reduction in nasal pressure signal amplitude between 50 and 90% of baseline or a less pronounced reduction that did not meet this threshold but was accompanied by an oxygen desaturation greater than 3% or an arousal, with a minimum duration of 10&#x202F;s. The AHI was determined by calculating the total number of apneic and hypopneic events per hour of sleep.</p>
</sec>
<sec id="sec12">
<title>Cardiopulmonary coupling analysis</title>
<p>The approach for analyzing APPLES data using cardiopulmonary coupling (CPC) has been described in previous publications (<xref ref-type="bibr" rid="ref38">Thomas et al., 2007</xref>; <xref ref-type="bibr" rid="ref39">Thomas et al., 2005</xref>; <xref ref-type="bibr" rid="ref1">Al Ashry et al., 2021</xref>). Briefly, heart rate variability (HRV) and electrocardiogram (ECG)&#x2014;derived respiration were extracted from a single-channel ECG recorded during the overnight polysomnogram. ECG-derived respiration reflects amplitude variations in the QRS complex caused by shifts in the cardiac electrical axis during breathing and thoracic impedance changes due to lung expansion and contraction. CPC analysis identifies three distinct patterns: high-frequency coupling (HFC; 0.1&#x2013;0.4&#x202F;Hz), indicative of stable breathing during NREM sleep; low-frequency coupling (LFC; 0.01 to &#x003C; 0.1&#x202F;Hz), associated with apneas and hypopneas; and very low-frequency coupling (v-LFC; 0 to &#x003C; 0.01&#x202F;Hz), observed during wakefulness and REM sleep. Within the LFC domain, two subtypes are recognized. The first, e-LFC<sub>NB</sub>, is characterized by a narrow-spectral-band dispersion of CPC spectral peaks between 0.006 and 0.1&#x202F;Hz, suggesting the presence of central sleep apnea, periodic breathing, or complex sleep apnea. The second, e-LFC<sub>BB</sub>, exhibits a broad-spectral-band pattern and is linked to OSA. These CPC metrics are quantified as the percentage of analysis windows relative to the total sleep period.</p>
</sec>
<sec id="sec13">
<title>Neurocognitive function</title>
<p>This study primarily utilizes three key neurocognitive variables, each representing a distinct neurocognitive domain: (1) Pathfinder Number Test-Total Time (PFN-TOTL): participants connect numbers in sequence on a computer, with a shorter total time indicating better attention and psychomotor function; (2) Buschke Selective Reminding Test-Sum Recall (BSRT-SR): participants recall words across 6 trials, with a higher total number of recalled words indicating better verbal learning and memory function, and (3) Sustained Working Memory Test-Overall Mid-Day Index (SWMT-OMD): participants compare the spatial position of stimuli and press corresponding buttons, with the overall index combining behavioral performance and EEG data to assess executive and frontal-lobe function, where a higher index indicates better performance. The detailed measurement procedures for each variable have been outlined in prior studies (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>). All three variables were evaluated during the baseline and at the 2-month and 6-month follow-up visits.</p>
</sec>
<sec id="sec14">
<title>Statistical analysis</title>
<p>Data summaries are presented as mean&#x00B1;standard deviation [SD] for normally distributed data, or as median [IQR] for non-normally distributed data. ROC curves were constructed for the improvements in SWMT-OMD, BSRT-SR, and PFN-TOTL at the 2&#x202F;month and 6&#x202F;month post-treatment follow-ups. These optimal cutoffs were determined using Youden&#x2019;s J index. The selection of either a two-sample t-test or Wilcoxon rank-sum test for comparing measurements between the two groups was based on the data&#x2019;s distribution normality. Categorical comparisons were conducted using Chi-Square and Fisher exact tests. To identify predictors of neurocognitive function changes, a backward elimination logistic regression analysis was applied, adjusted for study site, CPAP adherence, age, gender, body mass index (BMI), and OSA severity. Statistical analyses were performed using SPSS 19 and Origin Pro 8. All tests were two-tailed, and a <italic>p</italic>-value of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<title>Result</title>
<sec id="sec16">
<title>Study population</title>
<p>A total of 1,516 participants were enrolled in the APPLES, starting in November 2003 and studied for up to 6-months over 11 visits, of which 1,104 were randomized to active vs. sham CPAP (REMstar Pro, Philips Respironics, Inc.) devices; 555 subjects were allocated to CPAP group, and 362 had successful CPC analysis, for the 549 subjects with sham CPAP, 337 had CPC results. Studies were excluded from the CPC analysis as a result of having ECG signal issues (e.g., arrhythmias, excessive noise, poor signal quality, data dropouts), discrepancies between the data-file recording time and that reported on the PSG, and/or unsuccessful processing. In the study, we successfully collected baseline and 2-month follow-up SWMT-OMD data from 230 participants, while 306 participants provided complete data spanning from baseline to 6-months (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Similarly, for the BSRT-SR, we obtained baseline and 2-month data from 239 participants (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>), and baseline to 6-month data from 314 participants. By applying the Youden index analysis, we identified several critical cutoff values for e-LFC<sub>NB</sub>%: For predicting an increase in SWMT-OMD, an e-LFC<sub>NB</sub>% threshold of &#x003E; 2.35% optimally corresponds to a&#x202F;&#x003E;&#x202F;0.6 increase after 2&#x202F;months, while a threshold of &#x003E; 9.45% is optimal for a&#x202F;&#x003E;&#x202F;0.8 increase after 6&#x202F;months. Similarly, for BSRT-SR, an e-LFC<sub>NB</sub>% of &#x003E; 3.65% serves as the optimal cutoff for a 12-point increase after 2&#x202F;months, whereas a threshold of &#x003E; 2.15% corresponds to a 4-point increase after 6&#x202F;months.</p>
</sec>
<sec id="sec17">
<title>Baseline characteristics</title>
<p>In the cohort of subjects analyzed, the median age was 52.46&#x202F;&#x00B1;&#x202F;12.43&#x202F;years, and their BMI was 32.69&#x202F;&#x00B1;&#x202F;7.75&#x202F;kg/m<sup>2</sup>. Regarding the SWMT-OMD assessments, out of 230 subjects who provided data at 2-months, 86 individuals exhibited an e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;2.35%; whereas among the 306 subjects with data available at 6-months, 50 individuals showed an e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;9.45%. For the BSRT-SR evaluations, of the 239 subjects with 2-month data, 64 had an e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;3.65%; and among the 314 subjects with 6-month data, 133 demonstrated an e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;2.15%.</p>
</sec>
<sec id="sec18">
<title>Neurocognitive function responses</title>
<p>After two months of treatment, a greater proportion of participants in the higher e-LFC<sub>NB</sub>% groups showed significant cognitive improvement. Specifically, among the 86 subjects with e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;2.35%, 21 participants (24.4% vs. 13.2%) exhibited an increase of more than 0.65 in SWMT-OMD test scores (see <xref ref-type="table" rid="tab1">Table 1</xref>). Similarly, among the 64 subjects with e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;3.65%, 21 participants (32.8% vs. 17.1%) demonstrated an improvement of more than 12 points in BSRT-SR test scores (see <xref ref-type="table" rid="tab2">Table 2</xref>). After six months of treatment, the trend remained: among the 50 subjects with e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;9.45% group, 12 participants (24% vs. 10.9%) experienced an increase of more than 0.8 in SWMT-OMD test scores (see <xref ref-type="table" rid="tab1">Table 1</xref>). <xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2</xref> show the extent of improvement in SWMT-OMD and BSRT-SR after 2 and 6&#x202F;months of CPAP treatment. In contrast, among participants receiving sham CPAP, no significant differences in neurocognitive function improvements were observed across different e-LFC<sub>NB</sub>% groups at either the 2-month or 6-month assessments (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S3, S4</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of subjects divided by different e-LFC<sub>NB</sub> % on CPAP (SWMT-OMD groups).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Overall (<italic>n</italic> =&#x202F;362)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x2264;&#x202F;2.35% (<italic>n</italic> =&#x202F;144)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x003E;&#x202F;2.35% (<italic>n</italic> =&#x202F;86)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x2264;&#x202F;9.45% (<italic>n</italic> =&#x202F;256)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x003E;&#x202F;9.45% (<italic>n</italic> =&#x202F;50)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">52.46&#x202F;&#x00B1;&#x202F;12.43</td>
<td align="center" valign="top">51.18&#x202F;&#x00B1;&#x202F;13.05</td>
<td align="center" valign="top">55.02&#x202F;&#x00B1;&#x202F;12.38</td>
<td align="center" valign="top">0.029</td>
<td align="center" valign="top">51.83&#x202F;&#x00B1;&#x202F;12.27</td>
<td align="center" valign="top">54.84&#x202F;&#x00B1;&#x202F;11.96</td>
<td align="center" valign="top">0.112</td>
</tr>
<tr>
<td align="left" valign="top">Male (%)</td>
<td align="center" valign="top">247 (68.2%)</td>
<td align="center" valign="top">89 (61.8%)</td>
<td align="center" valign="top">67 (77.9%)</td>
<td align="center" valign="top">0.011</td>
<td align="center" valign="top">161 (62.9%)</td>
<td align="center" valign="top">47 (94%)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.518</td>
<td/>
<td/>
<td align="center" valign="top">0.085</td>
</tr>
<tr>
<td align="left" valign="top">Native American (%)</td>
<td align="center" valign="top">2 (0.6%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td/>
<td align="center" valign="top">1 (0.4%)</td>
<td align="center" valign="top">1 (2%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Asian (%)</td>
<td align="center" valign="top">24 (6.6%)</td>
<td align="center" valign="top">9 (6.3%)</td>
<td align="center" valign="top">8 (9.3%)</td>
<td/>
<td align="center" valign="top">12 (4.7%)</td>
<td align="center" valign="top">7 (14%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Black (%)</td>
<td align="center" valign="top">23 (6.4%)</td>
<td align="center" valign="top">6 (4.2%)</td>
<td align="center" valign="top">7 (8.1%)</td>
<td/>
<td align="center" valign="top">15 (5.9%)</td>
<td align="center" valign="top">4 (8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hispanic (%)</td>
<td align="center" valign="top">24 (6.6%)</td>
<td align="center" valign="top">10 (6.9%)</td>
<td align="center" valign="top">4 (4.7%)</td>
<td/>
<td align="center" valign="top">19 (7.4%)</td>
<td align="center" valign="top">2 (4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">White (%)</td>
<td align="center" valign="top">288 (79.6%)</td>
<td align="center" valign="top">118 (81.9%)</td>
<td align="center" valign="top">67 (77.9%)</td>
<td/>
<td align="center" valign="top">208 (81.3%)</td>
<td align="center" valign="top">36 (72%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (%)</td>
<td align="center" valign="top">1 (0.3%)</td>
<td align="center" valign="top">1 (0.7%)</td>
<td align="center" valign="top">-</td>
<td/>
<td align="center" valign="top">1(0.4%)</td>
<td align="center" valign="top">-</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI Kg/m<sup>2</sup></td>
<td align="center" valign="top">32.69&#x202F;&#x00B1;&#x202F;7.75</td>
<td align="center" valign="top">31.77&#x202F;&#x00B1;&#x202F;7.00</td>
<td align="center" valign="top">33.85&#x202F;&#x00B1;&#x202F;8.31</td>
<td align="center" valign="top">0.085</td>
<td align="center" valign="top">32.61&#x202F;&#x00B1;&#x202F;7.87</td>
<td align="center" valign="top">33.65&#x202F;&#x00B1;&#x202F;7.85</td>
<td align="center" valign="top">0.398</td>
</tr>
<tr>
<td align="left" valign="top">AHI /hour</td>
<td align="center" valign="top">33.25 [18.38&#x2013;55.03]</td>
<td align="center" valign="top">24.30 [16.20&#x2013;39.18]</td>
<td align="center" valign="top">51.35 [32.38&#x2013;75.60]</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">29.05 [17.18&#x2013;49.08]</td>
<td align="center" valign="top">66.75 [52.58&#x2013;82.91]</td>
<td align="center" valign="top">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">AHI&#x003C;15 (%)</td>
<td align="center" valign="top">57 (15.7%)</td>
<td align="center" valign="top">31 (21.5%)</td>
<td align="center" valign="top">5 (5.8%)</td>
<td align="center" valign="top" rowspan="2">0.002</td>
<td align="center" valign="top">48 (18.8%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top" rowspan="2">0.001</td>
</tr>
<tr>
<td align="left" valign="top">AHI&#x202F;&#x2265;&#x202F;15 (%)</td>
<td align="center" valign="top">305 (84.3%)</td>
<td align="center" valign="top">113 (78.5%)</td>
<td align="center" valign="top">81 (94.2%)</td>
<td align="center" valign="top">208 (81.3%)</td>
<td align="center" valign="top">50 (100%)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol (%)</td>
<td align="center" valign="top">245 (67.7%)</td>
<td align="center" valign="top">103 (71.5%)</td>
<td align="center" valign="top">56 (65.1%)</td>
<td align="center" valign="top">0.308</td>
<td align="center" valign="top">175 (68.4%)</td>
<td align="center" valign="top">34 (68%)</td>
<td align="center" valign="top">0.960</td>
</tr>
<tr>
<td align="left" valign="top">Current smoker (%)</td>
<td align="center" valign="top">44 (12.2%)</td>
<td align="center" valign="top">18 (12.5%)</td>
<td align="center" valign="top">10 (11.6%)</td>
<td align="center" valign="top">0.830</td>
<td align="center" valign="top">33 (12.9%)</td>
<td align="center" valign="top">4 (8%)</td>
<td align="center" valign="top">0.332</td>
</tr>
<tr>
<td align="left" valign="top">SWMT-OMD score</td>
<td align="center" valign="top">&#x2212;0.44&#x202F;&#x00B1;&#x202F;2.82</td>
<td align="center" valign="top">&#x2212;0.54&#x202F;&#x00B1;&#x202F;3.01</td>
<td align="center" valign="top">&#x2212;0.35&#x202F;&#x00B1;&#x202F;2.60</td>
<td align="center" valign="top">0.466</td>
<td align="center" valign="top">&#x2212;0.17&#x202F;&#x00B1;&#x202F;1.80</td>
<td align="center" valign="top">&#x2212;0.64&#x202F;&#x00B1;&#x202F;3.39</td>
<td align="center" valign="top">0.603</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">0.03 [&#x2212;0.42&#x2013;0.45]</td>
<td align="center" valign="top">0 [&#x2212;0.38&#x2013;0.44]</td>
<td align="center" valign="top">0.08 [&#x2212;0.63&#x2013;0.63]</td>
<td align="center" valign="top">0.815</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months &#x003E; 0.65 (%)</td>
<td align="center" valign="top">40 (17.4%)</td>
<td align="center" valign="top">19 (13.2%)</td>
<td align="center" valign="top">21 (24.4%)</td>
<td align="center" valign="top">0.030</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">0.08 [&#x2212;0.35&#x2013;0.53]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.08 [&#x2212;0.35&#x2013;0.51]</td>
<td align="center" valign="top">0.08 [&#x2212;0.34&#x2013;0.81]</td>
<td align="center" valign="top">0.398</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months &#x003E; 0.8 (%)</td>
<td align="center" valign="top">40 (13.1%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">28 (10.9%)</td>
<td align="center" valign="top">12 (24%)</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="left" valign="top">BSRT-SR score</td>
<td align="center" valign="top">49.97&#x202F;&#x00B1;&#x202F;8.95</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">3 [&#x2212;6&#x2013;11]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months &#x003E; 12 (%)</td>
<td align="center" valign="top">51 (21.3%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">3.5 [&#x2212;1&#x2013;8]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months &#x003E; 4 (%)</td>
<td align="center" valign="top">139 (44.3%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">PFN-TOTL, score</td>
<td align="center" valign="top">24.28&#x202F;&#x00B1;&#x202F;6.56</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">0.52 [&#x2212;4.9&#x2013;6.47]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">&#x2212;0.15 [&#x2212;2.19&#x2013;2.11]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AHI: apnea hypopnea index; BMI: body mass index; BSRT-SR: Buschke Selective Reminding Test-Sum Recall; e-LFC<sub>NB</sub>: elevated low frequency coupling, narrow-band; PFN-TOTL: Pathfinder Number Test-Total Time; SWMT-OMD: Sustained Working Memory Test-Overall Mid-Day Index.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Characteristics of subjects divided by different e-LFC<sub>NB</sub> % on CPAP (BSRT-SR groups).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Overall (<italic>n</italic> =&#x202F;362)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x2264;&#x202F;3.65% (<italic>n</italic> =&#x202F;175)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x003E;&#x202F;3.65% (<italic>n</italic> =&#x202F;64)</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x2264;&#x202F;2.15% (<italic>n</italic> =&#x202F;181)</th>
<th align="center" valign="top">e-LFC<sub>NB</sub> %&#x202F;&#x003E;&#x202F;2.15% (<italic>n</italic> =&#x202F;133)</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">52.46&#x202F;&#x00B1;&#x202F;12.43</td>
<td align="center" valign="top">51.62&#x202F;&#x00B1;&#x202F;12.59</td>
<td align="center" valign="top">55.45&#x202F;&#x00B1;&#x202F;13</td>
<td align="center" valign="top">0.040</td>
<td align="center" valign="top">50.77&#x202F;&#x00B1;&#x202F;12.4</td>
<td align="center" valign="top">54.93&#x202F;&#x00B1;&#x202F;11.67</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Male (%)</td>
<td align="center" valign="top">247 (68.2%)</td>
<td align="center" valign="top">109 (62.3%)</td>
<td align="center" valign="top">51 (79.7%)</td>
<td align="center" valign="top">0.011</td>
<td align="center" valign="top">116 (64.1%)</td>
<td align="center" valign="top">100 (75.2%)</td>
<td align="center" valign="top">0.036</td>
</tr>
<tr>
<td align="left" valign="top">Race</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.958</td>
<td/>
<td/>
<td align="center" valign="top">0.060</td>
</tr>
<tr>
<td align="left" valign="top">Native American (%)</td>
<td align="center" valign="top">2 (0.6%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td/>
<td align="center" valign="top">1 (0.6%)</td>
<td align="center" valign="top">1 (0.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Asian (%)</td>
<td align="center" valign="top">24 (6.6%)</td>
<td align="center" valign="top">12 (6.9%)</td>
<td align="center" valign="top">5 (7.8%)</td>
<td/>
<td align="center" valign="top">9 (5%)</td>
<td align="center" valign="top">11 (8.3%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Black (%)</td>
<td align="center" valign="top">23 (6.4%)</td>
<td align="center" valign="top">10 (5.7%)</td>
<td align="center" valign="top">4 (6.3%)</td>
<td/>
<td align="center" valign="top">7 (3.9%)</td>
<td align="center" valign="top">12 (9%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hispanic (%)</td>
<td align="center" valign="top">24 (6.6%)</td>
<td align="center" valign="top">12 (6.9%)</td>
<td align="center" valign="top">3 (4.7%)</td>
<td/>
<td align="center" valign="top">16 (8.8%)</td>
<td align="center" valign="top">5 (3.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">White (%)</td>
<td align="center" valign="top">288 (79.6%)</td>
<td align="center" valign="top">140 (80%)</td>
<td align="center" valign="top">52 (81.3%)</td>
<td/>
<td align="center" valign="top">148 (81.8%)</td>
<td align="center" valign="top">103 (77.4%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (%)</td>
<td align="center" valign="top">1 (0.3%)</td>
<td align="center" valign="top">1 (0.6%)</td>
<td align="center" valign="top">-</td>
<td/>
<td align="center" valign="top">-</td>
<td align="center" valign="top">1 (0.8%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI, Kg/m<sup>2</sup></td>
<td align="center" valign="top">32.69&#x202F;&#x00B1;&#x202F;7.75</td>
<td align="center" valign="top">31.79&#x202F;&#x00B1;&#x202F;6.94</td>
<td align="center" valign="top">34.58&#x202F;&#x00B1;&#x202F;8.46</td>
<td align="center" valign="top">0.027</td>
<td align="center" valign="top">32.19&#x202F;&#x00B1;&#x202F;8.04</td>
<td align="center" valign="top">33.59&#x202F;&#x00B1;&#x202F;7.49</td>
<td align="center" valign="top">0.061</td>
</tr>
<tr>
<td align="left" valign="top">AHI /hour</td>
<td align="center" valign="top">33.25 [18.38&#x2013;55.03]</td>
<td align="center" valign="top">25.5 [16.5&#x2013;42.8]</td>
<td align="center" valign="top">54.75 [39.82&#x2013;78.05]</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">23.2 [15.35&#x2013;41.8]</td>
<td align="center" valign="top">52.7 [32.9&#x2013;73.35]</td>
<td align="center" valign="top">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">AHI&#x003C;15 (%)</td>
<td align="center" valign="top">57 (15.7%)</td>
<td align="center" valign="top">36 (20.6%)</td>
<td align="center" valign="top">139 (79.4%)</td>
<td align="center" valign="top" rowspan="2">&#x003C; 0.001</td>
<td align="center" valign="top">44 (24.3%)</td>
<td align="center" valign="top">5 (3.8%)</td>
<td align="center" valign="top" rowspan="2">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">AHI&#x202F;&#x2265;&#x202F;15 (%)</td>
<td align="center" valign="top">305 (84.3%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">64 (100%)</td>
<td align="center" valign="top">137 (75.7%)</td>
<td align="center" valign="top">128 (96.2%)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol (%)</td>
<td align="center" valign="top">245 (67.7%)</td>
<td align="center" valign="top">125 (71.4%)</td>
<td align="center" valign="top">39 (60.9%)</td>
<td align="center" valign="top">0.122</td>
<td align="center" valign="top">131 (72.4%)</td>
<td align="center" valign="top">84 (63.2%)</td>
<td align="center" valign="top">0.082</td>
</tr>
<tr>
<td align="left" valign="top">Current smoker (%)</td>
<td align="center" valign="top">44 (12.2%)</td>
<td align="center" valign="top">23 (13.1%)</td>
<td align="center" valign="top">7 (10.9%)</td>
<td align="center" valign="top">0.649</td>
<td align="center" valign="top">21 (11.6%)</td>
<td align="center" valign="top">17 (12.8%)</td>
<td align="center" valign="top">0.751</td>
</tr>
<tr>
<td align="left" valign="top">SWMT-OMD score</td>
<td align="center" valign="top">&#x2212;0.44&#x202F;&#x00B1;&#x202F;2.82</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">0.03 [&#x2212;0.42&#x2013;0.45]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months &#x003E; 0.65(%)</td>
<td align="center" valign="top">40 (17.4%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">0.08 [&#x2212;0.35&#x2013;0.53]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months &#x003E; 0.8(%)</td>
<td align="center" valign="top">40 (13.1%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">BSRT-SR score</td>
<td align="center" valign="top">49.97&#x202F;&#x00B1;&#x202F;8.95</td>
<td align="center" valign="top">50.56&#x202F;&#x00B1;&#x202F;8.56</td>
<td align="center" valign="top">48.56&#x202F;&#x00B1;&#x202F;9.61</td>
<td align="center" valign="top">0.142</td>
<td align="center" valign="top">51.01&#x202F;&#x00B1;&#x202F;8.56</td>
<td align="center" valign="top">48.86&#x202F;&#x00B1;&#x202F;8.53</td>
<td align="center" valign="top">0.028</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">3 [&#x2212;6&#x2013;11]</td>
<td align="center" valign="top">3 [&#x2212;7&#x2013;10]</td>
<td align="center" valign="top">5 [&#x2212;3.75&#x2013;14]</td>
<td align="center" valign="top">0.128</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months &#x003E; 12(%)</td>
<td align="center" valign="top">51 (21.3%)</td>
<td align="center" valign="top">30 (17.1%)</td>
<td align="center" valign="top">21 (32.8%)</td>
<td align="center" valign="top">0.009</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">3.5 [&#x2212;1&#x2013;8]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">3 [&#x2212;1&#x2013;8]</td>
<td align="center" valign="top">4 [&#x2212;1&#x2013;8]</td>
<td align="center" valign="top">0.491</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months &#x003E; 4(%)</td>
<td align="center" valign="top">139 (44.3%)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">73 (40.3%)</td>
<td align="center" valign="top">66 (49.6%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">PFN-TOTL, score</td>
<td align="center" valign="top">24.28&#x202F;&#x00B1;&#x202F;6.56</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 2&#x202F;months</td>
<td align="center" valign="top">0.52 [&#x2212;4.9&#x2013;6.47]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Change after 6&#x202F;months</td>
<td align="center" valign="top">&#x2212;0.15 [&#x2212;2.19&#x2013;2.11]</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AHI: apnea hypopnea index; BMI: body mass index; BSRT-SR: Buschke Selective Reminding Test-Sum Recall; e-LFC<sub>NB</sub>: elevated low frequency coupling, narrow-band; PFN-TOTL: Pathfinder Number Test-Total Time; SWMT-OMD: Sustained Working Memory Test-Overall Mid-Day Index.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Improvement in SWMT-OMD after 2 and 6&#x202F;months of CPAP treatment. CPAP: continuous positive airway pressure; SWMT-OMD: Sustained Working Memory Test-Overall Mid-Day Index. Improvement in SWMT-OMD as indicated by the test score after CPAP treatment minus the baseline test score. The circle represents the mean value. Data are presented as mean &#x00B1; 95% confidence interval. &#x002A;Statistically significant greater improvement in the high e-LFC<sub>NB</sub> groups.</p>
</caption>
<graphic xlink:href="fnins-19-1619467-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar graph showing the increment of SWMT-OMD scores after CPAP treatment across four groups: eLFC-NB &#x2264; 2.35% at 2 months, eLFC-NB &#x003E; 2.35% at 2 months, eLFC-NB &#x2264; 9.45% at 6 months, and eLFC-NB &#x003E; 9.45% at 6 months. Significant differences are marked with p-values 0.030 and 0.046.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Improvement in BSRT-SR after 2 and 6&#x202F;months of CPAP treatment. CPAP: continuous positive airway pressure; BSRT-SR: Buschke Selective Reminding Test-Sum Recall. Improvement in SWMT-OMD as indicated by the test score after CPAP treatment minus the baseline test score. The circle represents the mean value. Data are presented as mean &#x00B1; 95% confidence interval. &#x002A;Statistically significant greater improvement in the high e-LFC<sub>NB</sub> groups after 2&#x202F;months of treatment.</p>
</caption>
<graphic xlink:href="fnins-19-1619467-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart showing the increment of BSRT-SR scores after CPAP treatment across different eLFC-NB percentages and time points. The red bar at eLFC-NB &#x003E; 3.65% shows a significant increase at 2 months, with a p-value of 0.041, compared to other groups at 2 and 6 months.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<title>Logistic regression</title>
<p>In the in-depth exploration of logistic regression analysis, we unveiled a significant positive correlation between e-LFC<sub>NB</sub>% levels and the improvement in neurocognitive function following CPAP treatment. Specifically, when e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;2.35%, there is a significant increase in the probability of SWMT-OMD test score improvement &#x003E; 0.65 after 2-months CPAP treatment (OR: 2.617, 95% CI: 1.095&#x2013;6.252, <italic>p</italic>: 0.030) (see <xref ref-type="table" rid="tab3">Table 3</xref>); similarly, e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;3.65% is associated with an improvement &#x003E; 12 in BSRT-SR test score (OR: 2.696, 95% CI: 1.041&#x2013;6.982, <italic>p</italic>: 0.041) (see <xref ref-type="table" rid="tab4">Table 4</xref>). Furthermore, after 6&#x202F;months CPAP treatment, individuals with e-LFC<sub>NB</sub>%&#x202F;&#x003E;&#x202F;than 9.45% is related with higher rate of SWMT-OMD score improvement &#x003E; 0.8 (OR: 2.553, 95% CI: 1.017&#x2013;6.409, <italic>p</italic>: 0.046) (see <xref ref-type="table" rid="tab3">Table 3</xref>). However, for the improvement in BSRT-SR after 6&#x202F;months CPAP treatment (<italic>p</italic>: 0.541) and the overall improvement in PFN-TOTL (2-month <italic>p</italic>, 0.655 6-month <italic>p</italic>, 0.548), we found no evidence of association with e-LFC<sub>NB</sub>% (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S4, S5</xref>). Additionally, in predicting the response of sham CPAP on neurocognitive function, e-LFC<sub>NB</sub>% did not demonstrate any effect (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S6&#x2013;S8</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Logistic regression model for SWMT-OMD increase after 2&#x202F;months and 6&#x202F;months treatment.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">2&#x202F;months after CPAP</th>
<th align="center" valign="top" colspan="3">SWMT-OMD change &#x003E; 0.65</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Model 1: e-LFC<sub>NB</sub>&#x202F;&#x003E;&#x202F;2.35%</td>
<td align="center" valign="top">2.216</td>
<td align="center" valign="top">1.067&#x2013;4.234</td>
<td align="center" valign="top">0.032</td>
</tr>
<tr>
<td align="left" valign="top">Model 1&#x202F;+&#x202F;study site + baseline SWMT-OMD</td>
<td align="center" valign="top">2.865</td>
<td align="center" valign="top">1.295&#x2013;6.340</td>
<td align="center" valign="top">0.009</td>
</tr>
<tr>
<td align="left" valign="top">Model 2&#x202F;+&#x202F;adherence</td>
<td align="center" valign="top">2.617</td>
<td align="center" valign="top">1.095&#x2013;6.252</td>
<td align="center" valign="top">0.030</td>
</tr>
<tr>
<td align="left" valign="top">Model 3&#x202F;+&#x202F;age, sex, BMI</td>
<td align="center" valign="top">2.617</td>
<td align="center" valign="top">1.095&#x2013;6.252</td>
<td align="center" valign="top">0.030</td>
</tr>
<tr>
<td align="left" valign="top">Model 4&#x202F;+&#x202F;AHI</td>
<td align="center" valign="top">2.617</td>
<td align="center" valign="top">1.095&#x2013;6.252</td>
<td align="center" valign="top">0.030</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">6&#x202F;months after CPAP</th>
<th align="center" valign="top" colspan="3">SWMT-OMD change &#x003E; 0.8</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Model 1: e-LFC<sub>NB</sub>&#x202F;&#x003E;&#x202F;9.45%</td>
<td align="center" valign="top">2.571</td>
<td align="center" valign="top">1.204&#x2013;5.490</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">Model 1&#x202F;+&#x202F;study site + baseline SWMT-OMD</td>
<td align="center" valign="top">2.456</td>
<td align="center" valign="top">1.019&#x2013;5.919</td>
<td align="center" valign="top">0.045</td>
</tr>
<tr>
<td align="left" valign="top">Model 2&#x202F;+&#x202F;adherence</td>
<td align="center" valign="top">2.553</td>
<td align="center" valign="top">1.017&#x2013;6.409</td>
<td align="center" valign="top">0.046</td>
</tr>
<tr>
<td align="left" valign="top">Model 3&#x202F;+&#x202F;age, sex, BMI</td>
<td align="center" valign="top">2.553</td>
<td align="center" valign="top">1.017&#x2013;6.409</td>
<td align="center" valign="top">0.046</td>
</tr>
<tr>
<td align="left" valign="top">Model 4&#x202F;+&#x202F;AHI</td>
<td align="center" valign="top">2.553</td>
<td align="center" valign="top">1.017&#x2013;6.409</td>
<td align="center" valign="top">0.046</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AHI: apnea hypopnea index; BMI: body mass index; e-LFC<sub>NB</sub>: elevated low frequency coupling, narrow-band; SWMT-OMD: Sustained Working Memory Test-Overall Mid-Day Index.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Logistic regression model for BSRT-SR increase after 2&#x202F;months and 6&#x202F;months treatment.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">2&#x202F;months after CPAP</th>
<th align="center" valign="top" colspan="3">BSRT-SR change &#x003E; 12</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Model 1: e-LFC<sub>NB</sub>&#x202F;&#x003E;&#x202F;3.65%</td>
<td align="center" valign="top">2.360</td>
<td align="center" valign="top">1.228&#x2013;4.537</td>
<td align="center" valign="top">0.010</td>
</tr>
<tr>
<td align="left" valign="top">Model 1&#x202F;+&#x202F;study site + baseline BSRT-SR</td>
<td align="center" valign="top">2.206</td>
<td align="center" valign="top">0.901&#x2013;5.402</td>
<td align="center" valign="top">0.083</td>
</tr>
<tr>
<td align="left" valign="top">Model 2&#x202F;+&#x202F;adherence</td>
<td align="center" valign="top">2.696</td>
<td align="center" valign="top">1.041&#x2013;6.982</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top">Model 3&#x202F;+&#x202F;age, sex, BMI</td>
<td align="center" valign="top">2.696</td>
<td align="center" valign="top">1.041&#x2013;6.982</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top">Model 4&#x202F;+&#x202F;AHI</td>
<td align="center" valign="top">2.696</td>
<td align="center" valign="top">1.041&#x2013;6.982</td>
<td align="center" valign="top">0.041</td>
</tr>
</tbody>
</table>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">6&#x202F;months after CPAP</th>
<th align="center" valign="top" colspan="3">BSRT-SR change &#x003E; 4</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Model 1: e-LFC<sub>NB</sub>&#x202F;&#x003E;&#x202F;2.15%</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.101</td>
</tr>
<tr>
<td align="left" valign="top">Model 1&#x202F;+&#x202F;study site + baseline BSRT-SR</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.359</td>
</tr>
<tr>
<td align="left" valign="top">Model 2&#x202F;+&#x202F;adherence</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.970</td>
</tr>
<tr>
<td align="left" valign="top">Model 3&#x202F;+&#x202F;age, sex, BMI</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.541</td>
</tr>
<tr>
<td align="left" valign="top">Model 4&#x202F;+&#x202F;AHI</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.541</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AHI: apnea hypopnea index; BMI: body mass index; BSRT-SR: Buschke Selective Reminding Test-Sum Recall; e-LFC<sub>NB</sub>: elevated low frequency coupling, narrow-band.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec20">
<title>Discussion</title>
<p>This study uncovered the following findings: (1) a positive correlation between e-LFC<sub>NB</sub>% and short-term improvements in BSRT-SR among OSA patients after CPAP treatment; (2) a positive correlation between e-LFC<sub>NB</sub>% and both short-term and long-term improvements in SWMT-OMD among OSA patients following CPAP treatment. These findings may help predict which individuals are likely to experience enhancements in neurocognitive function from OSA therapy, as indicated by the sequence: apnea with e-LFC<sub>NB</sub>%/High Loop Gain &#x2192; NREM instability/fragmentation + Sympathetic Activation + Hypoxia &#x2192; Prefrontal/Hippocampal Dysfunction &#x2192; Specific Cognitive Deficits &#x2192; Reversal by CPAP.</p>
<p>The pathogenic mechanisms through which OSA impairs neurocognitive functions include: intermittent hypoxemia, cytokine activation, metabolic dysfunction, sleep deprivation, hypercapnia and sympathetic nervous system activation (<xref ref-type="bibr" rid="ref30">Pollicina et al., 2021</xref>). As high loop gain sleep apnea is NREM-dominant, the predominance of respiratory events in NREM sleep may cause disproportionate sleep fragmentation, which is crucial in the development of neurocognitive function (<xref ref-type="bibr" rid="ref11">Devita et al., 2019</xref>). NREM sleep enhances information encoding capacity and learning in neural networks through a complex interplay of slow oscillations, spindles, and sharp-wave ripples (<xref ref-type="bibr" rid="ref23">Mizuseki and Miyawaki, 2017</xref>; <xref ref-type="bibr" rid="ref29">Peyrache and Seibt, 2020</xref>; <xref ref-type="bibr" rid="ref33">Salfi et al., 2020</xref>), and is at risk from sleep fragmentation. Even brief periods of NREM sleep can significantly boost and restore cognitive functions (<xref ref-type="bibr" rid="ref18">Kharas et al., 2024</xref>) but substantial fragmentation is likely to adversely impact memoy and learning functions. Sleep fragmentation itself can impair metabolic function (<xref ref-type="bibr" rid="ref36">Stamatakis and Punjabi, 2010</xref>). Chronic sleep fragmentation exposures in a murine model mimicking the fragmentation of sleep that characterizes patients with apnea elicits evidence of inflammation in brain regions and explicit memory impairments in mice (<xref ref-type="bibr" rid="ref31">Puech et al., 2023</xref>). In this model, sleep fragmentation was also associated with increased BBB permeability, the magnitude of which was closely associated with cognitive functional loss (<xref ref-type="bibr" rid="ref31">Puech et al., 2023</xref>). Apneas and intermittent hypoxia events experienced during NREM sleep can trigger the activation of the sympathetic nervous system, leading to endothelial dysfunction (<xref ref-type="bibr" rid="ref20">Lambert et al., 2013</xref>; <xref ref-type="bibr" rid="ref37">Swenson, 2020</xref>) and blood pressure surges (<xref ref-type="bibr" rid="ref24">Narkiewicz et al., 1998</xref>; <xref ref-type="bibr" rid="ref28">Peled et al., 1998</xref>). Moreover, hypoxic events themselves can cause direct damage to neurocognitive functions (<xref ref-type="bibr" rid="ref13">He et al., 2024</xref>; <xref ref-type="bibr" rid="ref8">Chokesuwattanaskul et al., 2021</xref>).</p>
<p>Previous studies have confirmed that e-LFC<sub>NB</sub>% is associated with the severity of OSA, sleep stability, respiratory chemoreflex regulation, and intermittent hypoxia (<xref ref-type="bibr" rid="ref10">Deacon and Catcheside, 2015</xref>; <xref ref-type="bibr" rid="ref14">Ibrahim et al., 2010</xref>; <xref ref-type="bibr" rid="ref40">Thomas et al., 2018</xref>). Hypoxic events stimulate the sympathetic nervous system, thus e-LFC<sub>NB</sub>% is also a marker of carotid body activation (<xref ref-type="bibr" rid="ref16">Joyner et al., 2018</xref>). However, we adjusted for apnea severity in our analysis. CPAP treatment can improve neurocognitive function by reversing the processes of chronic intermittent hypoxia and sympathetic nerve activation, as well as reducing sleep fragmentation and can even slightly increase the duration of sleep, improving neural structural adaptability, and facilitating neuronal repair (<xref ref-type="bibr" rid="ref42">Ziegler et al., 2001</xref>; <xref ref-type="bibr" rid="ref34">S&#x00E1;nchez et al., 2009</xref>). It was recently reported using the APPLES that a higher arousal threshold is associated with greater improvements in executive function following CPAP therapy (<xref ref-type="bibr" rid="ref43">Zinchuk et al., 2025</xref>). That is a lower propensity for fragmentation was protective.</p>
<p>In this study, two primary outcome indicators reflecting neurocognitive functions were assessed. First, SWMT-OMD primarily evaluates individuals&#x2019; executive functions and frontal lobe functions, particularly abilities related to working memory, and is significantly associated with the prefrontal cortex. Second, BSRT-SR mainly assesses individuals&#x2019; learning and memory capabilities, specifically verbal learning and memory, and is related to the brain&#x2019;s hippocampus and temporal cortex (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>; <xref ref-type="bibr" rid="ref30">Pollicina et al., 2021</xref>). Studies have demonstrated that the SWMT is sensitive to subtle changes in executive function (<xref ref-type="bibr" rid="ref12">Gevins et al., 2011</xref>), and improvements in SWMT-OMD reflect enhanced frontal lobe performance. Similarly, research has indicated that improvements in BSRT-SR scores (even by 4&#x2013;6 points) are clinically significant in OSA populations (<xref ref-type="bibr" rid="ref4">Beebe et al., 2003</xref>). In our study, the observed improvements (e.g., BSRT-SR&#x202F;&#x003E;&#x202F;12) substantially exceed these benchmarks, underscoring their functional relevance. While the hippocampus is more sensitive to hypoxia (<xref ref-type="bibr" rid="ref9">Churilova et al., 2022</xref>), its ability to adapt to prolonged hypoxic exposure is greater than that of the prefrontal cortex, potentially providing compensatory mechanisms (<xref ref-type="bibr" rid="ref35">Shaw et al., 2021</xref>). During NREM hypoxia, sympathetic activation leads to increased levels of norepinephrine, which impairs the prefrontal cortex&#x2019;s ability to support higher-order cognitive functions, such as decision-making and working memory (<xref ref-type="bibr" rid="ref3">Arnsten, 2009</xref>). This makes the prefrontal cortex particularly susceptible to impairment from sympathetic activation during sleep. As a biomarker of sympathetic nerve excitation and NREM-period hypoxia, e-LFC<sub>NB</sub>% could plausibly predict improvements in neurocognitive function after treatment. For BSRT-SR, the relatively slow subsequent improvement of the hippocampus and its weaker correlation with sympathetic excitation and hypoxia compared to the prefrontal cortex may explain why it can only predict short-term effects. In addition, the inconsistency in the quality of the BSRT-SR assessment scales before and after treatment, as mentioned in previous studies (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>), may also account for the results of this study. Regarding the third neurocognitive function assessment indicator mentioned in this study: PFN-TOTL, which is primarily used to evaluate a patient&#x2019;s attention and psychomotor functions, is associated with the function of the prefrontal cortex (<xref ref-type="bibr" rid="ref5">Braver et al., 2009</xref>). However, the study results indicate that e-LFC<sub>NB</sub>% does not effectively predict the degree of improvement in this indicator. This may be due to the sensitivity of the indicator to CPAP treatment being insufficient, rendering it a less effective marker for assessing neurocognitive function in patients with OSA (<xref ref-type="bibr" rid="ref19">Kushida et al., 2012</xref>).</p>
<p>This analysis has several limitations that should be taken into account. Data loss occurred due to issues with signal quality and analysis. We were unable to assess the night-to-night stability of e-LFC<sub>NB</sub>%. Maintaining consistent quality in the assessment scales for neurocognitive function indicators could provide clearer indications of treatment responses. We did not directly estimate the loop gain in the analyzed data. Additionally, the subjective nature of cognitive function assessments may have influenced the results, as factors such as age, education, and social function status can affect individuals&#x2019; self-reports of cognitive function. The complex relationship between cognitive function and brain structure/function, including the brain&#x2019;s compensatory and repair mechanisms, adds to the uncertainty in accurately evaluating cognitive impairment. Future research should address these limitations by employing larger, more diverse samples, and longitudinal study designs to better understand the impact of LFC<sub>NB</sub>% and other biomarkers on the improvement of neurocognitive function in OSA patients after CPAP treatment.</p>
</sec>
<sec sec-type="conclusions" id="sec21">
<title>Conclusion</title>
<p>Assessing pathological activation of the respiratory chemoreflex may help identify a biomarker for predicting improvement in neurocognitive function following CPAP treatment.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec22">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec23">
<title>Author contributions</title>
<p>Y-TH: Data analysis, Writing &#x2013; original draft. Y-NN: Writing &#x2013; review &#x0026; editing. HH: Data analysis, Writing &#x2013; review &#x0026; editing. RT: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec24">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by National Natural Science Foundation of China (82300118). The Apnea Positive Pressure Long-term Efficacy Study (APPLES) was supported by the National Heart, Lung, and Blood Institute (U01HL68060). The National Sleep Research Resource is supported by the U.S. National Institutes of Health, National Heart Lung and Blood Institute (R24 HL114473, 75N92019R002).</p>
</sec>
<sec sec-type="COI-statement" id="sec25">
<title>Conflict of interest</title>
<p>RT is co-inventor and patent holder of the ECG-derived sleep spectrogram, which may be used to phenotype sleep quality and central/complex sleep apnea. The technology is licensed by Beth Israel Deaconess Medical Center to MyCardio, LLC. He is also co-inventor and patent holder of the Positive Airway Pressure Gas Modulator, being developed for treatment of central/complex sleep apnea. He has consulted for Jazz Pharmaceuticals and consults for Guidepoint Global and GLG Councils. He is co-inventor of a licensed auto-CPAP software to DeVilbiss-Drive.</p>
<p>HH was employed by MyCardio-LLC.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec98">
<title>Correction note</title>
<p>A correction has been made to this article. Details can be found at: <ext-link xlink:href="https://doi.org/10.3389/fnins.2025.1714129" ext-link-type="uri">10.3389/fnins.2025.1714129</ext-link>.</p>
</sec>
<sec sec-type="ai-statement" id="sec26">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec27">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec28">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnins.2025.1619467/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnins.2025.1619467/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al Ashry</surname><given-names>H. S.</given-names></name> <name><surname>Hilmisson</surname><given-names>H.</given-names></name> <name><surname>Ni</surname><given-names>Y.</given-names></name> <name><surname>Thomas</surname><given-names>R. J.</given-names></name></person-group> (<year>2021</year>). <article-title>Automated apnea-hypopnea index from oximetry and spectral analysis of cardiopulmonary coupling</article-title>. <source>Ann. Am. Thorac. Soc.</source> <volume>18</volume>, <fpage>876</fpage>&#x2013;<lpage>883</lpage>. doi: <pub-id pub-id-type="doi">10.1513/AnnalsATS.202005-510OC</pub-id>, PMID: <pub-id pub-id-type="pmid">33472017</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alomri</surname><given-names>R. M.</given-names></name> <name><surname>Kennedy</surname><given-names>G. A.</given-names></name> <name><surname>Wali</surname><given-names>S. O.</given-names></name> <name><surname>Alhejaili</surname><given-names>F.</given-names></name> <name><surname>Robinson</surname><given-names>S. R.</given-names></name></person-group> (<year>2021</year>). <article-title>Association between nocturnal activity of the sympathetic nervous system and cognitive dysfunction in obstructive sleep apnoea</article-title>. <source>Sci. Rep.</source> <volume>11</volume>:<fpage>11990</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-021-91329-6</pub-id>, PMID: <pub-id pub-id-type="pmid">34099794</pub-id></citation></ref>
<ref id="ref9001"><citation citation-type="journal"><person-group person-group-type="author"><collab id="coll1">American Academy of Sleep Medicine</collab></person-group>. (<year>1999</year>). <article-title>Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research</article-title>. <source>Sleep</source>, <volume>22</volume>:<fpage>667</fpage>&#x2013;<lpage>307</lpage>., PMID: <pub-id pub-id-type="pmid">34099794</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arnsten</surname><given-names>A. F.</given-names></name></person-group> (<year>2009</year>). <article-title>Stress signalling pathways that impair prefrontal cortex structure and function</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>10</volume>, <fpage>410</fpage>&#x2013;<lpage>422</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn2648</pub-id>, PMID: <pub-id pub-id-type="pmid">19455173</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beebe</surname><given-names>D. W.</given-names></name> <name><surname>Groesz</surname><given-names>L.</given-names></name> <name><surname>Wells</surname><given-names>C.</given-names></name> <name><surname>Nichols</surname><given-names>A.</given-names></name> <name><surname>McGee</surname><given-names>K.</given-names></name></person-group> (<year>2003</year>). <article-title>The neuropsychological effects of obstructive sleep apnea: a meta-analysis of norm-referenced and case-controlled data</article-title>. <source>Sleep</source> <volume>26</volume>, <fpage>298</fpage>&#x2013;<lpage>307</lpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/26.3.298</pub-id>, PMID: <pub-id pub-id-type="pmid">12749549</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Braver</surname><given-names>T. S.</given-names></name> <name><surname>Paxton</surname><given-names>J. L.</given-names></name> <name><surname>Locke</surname><given-names>H. S.</given-names></name> <name><surname>Barch</surname><given-names>D. M.</given-names></name></person-group> (<year>2009</year>). <article-title>Flexible neural mechanisms of cognitive control within human prefrontal cortex</article-title>. <source>Proc. Natl. Acad. Sci. USA</source> <volume>106</volume>, <fpage>7351</fpage>&#x2013;<lpage>7356</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0808187106</pub-id>, PMID: <pub-id pub-id-type="pmid">19380750</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bucks</surname><given-names>R. S.</given-names></name> <name><surname>Olaithe</surname><given-names>M.</given-names></name> <name><surname>Eastwood</surname><given-names>P.</given-names></name></person-group> (<year>2013</year>). <article-title>Neurocognitive function in obstructive sleep apnoea: a meta-review</article-title>. <source>Respirology</source> <volume>18</volume>, <fpage>61</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1440-1843.2012.02255.x</pub-id>, PMID: <pub-id pub-id-type="pmid">22913604</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cheng</surname><given-names>W. J.</given-names></name> <name><surname>Finnsson</surname><given-names>E.</given-names></name> <name><surname>&#x00C1;g&#x00FA;stsson</surname><given-names>J. S.</given-names></name> <name><surname>Sands</surname><given-names>S. A.</given-names></name> <name><surname>Hang</surname><given-names>L. W.</given-names></name></person-group> (<year>2024</year>). <article-title>Continuous positive airway pressure and adherence in patients with different endotypes of obstructive sleep apnea</article-title>. <source>J. Sleep Res.</source> <volume>33</volume>:<fpage>e13999</fpage>. doi: <pub-id pub-id-type="doi">10.1111/jsr.13999</pub-id>, PMID: <pub-id pub-id-type="pmid">37452710</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chokesuwattanaskul</surname><given-names>A.</given-names></name> <name><surname>Chirakalwasan</surname><given-names>N.</given-names></name> <name><surname>Jaimchariyatam</surname><given-names>N.</given-names></name> <name><surname>Pitakvej</surname><given-names>N.</given-names></name> <name><surname>Sarutikriangkri</surname><given-names>Y.</given-names></name> <name><surname>Chunharas</surname><given-names>C.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Associations between hypoxia parameters in obstructive sleep apnea and cognition, cortical thickness, and white matter integrity in middle-aged and older adults</article-title>. <source>Sleep Breath.</source> <volume>25</volume>, <fpage>1559</fpage>&#x2013;<lpage>1570</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11325-020-02215-w</pub-id>, PMID: <pub-id pub-id-type="pmid">33057925</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Churilova</surname><given-names>A.</given-names></name> <name><surname>Zachepilo</surname><given-names>T.</given-names></name> <name><surname>Baranova</surname><given-names>K.</given-names></name> <name><surname>Rybnikova</surname><given-names>E.</given-names></name></person-group> (<year>2022</year>). <article-title>Differences in the autophagy response to hypoxia in the Hippocampus and neocortex of rats</article-title>. <source>Int. J. Mol. Sci.</source> <volume>23</volume>. doi: <pub-id pub-id-type="doi">10.3390/ijms23148002</pub-id>, PMID: <pub-id pub-id-type="pmid">35887346</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Deacon</surname><given-names>N. L.</given-names></name> <name><surname>Catcheside</surname><given-names>P. G.</given-names></name></person-group> (<year>2015</year>). <article-title>The role of high loop gain induced by intermittent hypoxia in the pathophysiology of obstructive sleep apnoea</article-title>. <source>Sleep Med. Rev.</source> <volume>22</volume>, <fpage>3</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.smrv.2014.10.003</pub-id>, PMID: <pub-id pub-id-type="pmid">25454671</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Devita</surname><given-names>M.</given-names></name> <name><surname>Peppard</surname><given-names>P. E.</given-names></name> <name><surname>Mesas</surname><given-names>A. E.</given-names></name> <name><surname>Mondini</surname><given-names>S.</given-names></name> <name><surname>Rusconi</surname><given-names>M. L.</given-names></name> <name><surname>Barnet</surname><given-names>J. H.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Associations between the apnea-hypopnea index during REM and NREM sleep and cognitive functioning in a cohort of middle-aged adults</article-title>. <source>J. Clin. Sleep Med.</source> <volume>15</volume>, <fpage>965</fpage>&#x2013;<lpage>971</lpage>. doi: <pub-id pub-id-type="doi">10.5664/jcsm.7872</pub-id>, PMID: <pub-id pub-id-type="pmid">31383233</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gevins</surname><given-names>A.</given-names></name> <name><surname>Smith</surname><given-names>M. E.</given-names></name> <name><surname>McEvoy</surname><given-names>L. K.</given-names></name> <name><surname>Ilan</surname><given-names>A. B.</given-names></name> <name><surname>Chan</surname><given-names>C. S.</given-names></name> <name><surname>Jiang</surname><given-names>A.</given-names></name> <etal/></person-group>. (<year>2011</year>). <article-title>A cognitive and neurophysiological test of change from an individual's baseline</article-title>. <source>Clin. Neurophysiol.</source> <volume>122</volume>, <fpage>114</fpage>&#x2013;<lpage>120</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.clinph.2010.06.010</pub-id>, PMID: <pub-id pub-id-type="pmid">20619727</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>He</surname><given-names>Y.</given-names></name> <name><surname>Dong</surname><given-names>N.</given-names></name> <name><surname>Wang</surname><given-names>X.</given-names></name> <name><surname>Lv</surname><given-names>R. J.</given-names></name> <name><surname>Yu</surname><given-names>Q.</given-names></name> <name><surname>Yue</surname><given-names>H. M.</given-names></name></person-group> (<year>2024</year>). <article-title>Obstructive sleep apnea affects cognition: dual effects of intermittent hypoxia on neurons</article-title>. <source>Sleep Breath.</source> <volume>28</volume>, <fpage>1051</fpage>&#x2013;<lpage>1065</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11325-024-03001-8</pub-id>, PMID: <pub-id pub-id-type="pmid">38308748</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ibrahim</surname><given-names>L. H.</given-names></name> <name><surname>Jacono</surname><given-names>F. J.</given-names></name> <name><surname>Patel</surname><given-names>S. R.</given-names></name> <name><surname>Thomas</surname><given-names>R. J.</given-names></name> <name><surname>Larkin</surname><given-names>E. K.</given-names></name> <name><surname>Mietus</surname><given-names>J. E.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Heritability of abnormalities in cardiopulmonary coupling in sleep apnea: use of an electrocardiogram-based technique</article-title>. <source>Sleep</source> <volume>33</volume>, <fpage>643</fpage>&#x2013;<lpage>646</lpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/33.5.643</pub-id>, PMID: <pub-id pub-id-type="pmid">20469806</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Joosten</surname><given-names>S. A.</given-names></name> <name><surname>Landry</surname><given-names>S. A.</given-names></name> <name><surname>Wong</surname><given-names>A. M.</given-names></name> <name><surname>Mann</surname><given-names>D. L.</given-names></name> <name><surname>Terrill</surname><given-names>P. I.</given-names></name> <name><surname>Sands</surname><given-names>S. A.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Assessing the physiologic Endotypes responsible for REM- and NREM-based OSA</article-title>. <source>Chest</source> <volume>159</volume>, <fpage>1998</fpage>&#x2013;<lpage>2007</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chest.2020.10.080</pub-id>, PMID: <pub-id pub-id-type="pmid">33197399</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Joyner</surname><given-names>M. J.</given-names></name> <name><surname>Limberg</surname><given-names>J. K.</given-names></name> <name><surname>Wehrwein</surname><given-names>E. A.</given-names></name> <name><surname>Johnson</surname><given-names>B. D.</given-names></name></person-group> (<year>2018</year>). <article-title>Role of the carotid body chemoreceptors in glucose homeostasis and thermoregulation in humans</article-title>. <source>J. Physiol.</source> <volume>596</volume>, <fpage>3079</fpage>&#x2013;<lpage>3085</lpage>. doi: <pub-id pub-id-type="doi">10.1113/JP274354</pub-id>, PMID: <pub-id pub-id-type="pmid">29377157</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kapur</surname><given-names>V. K.</given-names></name> <name><surname>Auckley</surname><given-names>D. H.</given-names></name> <name><surname>Chowdhuri</surname><given-names>S.</given-names></name> <name><surname>Kuhlmann</surname><given-names>D. C.</given-names></name> <name><surname>Mehra</surname><given-names>R.</given-names></name> <name><surname>Ramar</surname><given-names>K.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of sleep medicine clinical practice guideline</article-title>. <source>J. Clin. Sleep Med.</source> <volume>13</volume>, <fpage>479</fpage>&#x2013;<lpage>504</lpage>. doi: <pub-id pub-id-type="doi">10.5664/jcsm.6506</pub-id>, PMID: <pub-id pub-id-type="pmid">28162150</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kharas</surname><given-names>N.</given-names></name> <name><surname>Chelaru</surname><given-names>M. I.</given-names></name> <name><surname>Eagleman</surname><given-names>S.</given-names></name> <name><surname>Parajuli</surname><given-names>A.</given-names></name> <name><surname>Dragoi</surname><given-names>V.</given-names></name></person-group> (<year>2024</year>). <article-title>NREM sleep improves behavioral performance by desynchronizing cortical circuits</article-title>. <source>Science</source> <volume>386</volume>, <fpage>892</fpage>&#x2013;<lpage>897</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.adr3339</pub-id>, PMID: <pub-id pub-id-type="pmid">39571022</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kushida</surname><given-names>C. A.</given-names></name> <name><surname>Nichols</surname><given-names>D. A.</given-names></name> <name><surname>Holmes</surname><given-names>T. H.</given-names></name> <name><surname>Quan</surname><given-names>S. F.</given-names></name> <name><surname>Walsh</surname><given-names>J. K.</given-names></name> <name><surname>Gottlieb</surname><given-names>D. J.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Effects of continuous positive airway pressure on neurocognitive function in obstructive sleep apnea patients: the apnea positive pressure long-term efficacy study (APPLES)</article-title>. <source>Sleep</source> <volume>35</volume>, <fpage>1593</fpage>&#x2013;<lpage>1602</lpage>. doi: <pub-id pub-id-type="doi">10.5665/sleep.2226</pub-id>, PMID: <pub-id pub-id-type="pmid">23204602</pub-id></citation></ref>
<ref id="ref20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lambert</surname><given-names>E.</given-names></name> <name><surname>Straznicky</surname><given-names>N.</given-names></name> <name><surname>Sari</surname><given-names>C. I.</given-names></name> <name><surname>Eikelis</surname><given-names>N.</given-names></name> <name><surname>Hering</surname><given-names>D.</given-names></name> <name><surname>Head</surname><given-names>G.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Dyslipidemia is associated with sympathetic nervous activation and impaired endothelial function in young females</article-title>. <source>Am. J. Hypertens.</source> <volume>26</volume>, <fpage>250</fpage>&#x2013;<lpage>256</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ajh/hps016</pub-id>, PMID: <pub-id pub-id-type="pmid">23382410</pub-id></citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lv</surname><given-names>R.</given-names></name> <name><surname>Liu</surname><given-names>X.</given-names></name> <name><surname>Zhang</surname><given-names>Y.</given-names></name> <name><surname>Dong</surname><given-names>N.</given-names></name> <name><surname>Wang</surname><given-names>X.</given-names></name> <name><surname>He</surname><given-names>Y.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Pathophysiological mechanisms and therapeutic approaches in obstructive sleep apnea syndrome</article-title>. <source>Signal Transduct. Target. Ther.</source> <volume>8</volume>:<fpage>218</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41392-023-01496-3</pub-id>, PMID: <pub-id pub-id-type="pmid">37230968</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McNicholas</surname><given-names>W. T.</given-names></name> <name><surname>Pevernagie</surname><given-names>D.</given-names></name></person-group> (<year>2022</year>). <article-title>Obstructive sleep apnea: transition from pathophysiology to an integrative disease model</article-title>. <source>J. Sleep Res.</source> <volume>31</volume>:<fpage>e13616</fpage> <comment>(In eng).</comment> doi: <pub-id pub-id-type="doi">10.1111/jsr.13616</pub-id>, PMID: <pub-id pub-id-type="pmid">35609941</pub-id></citation></ref>
<ref id="ref23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mizuseki</surname><given-names>K.</given-names></name> <name><surname>Miyawaki</surname><given-names>H.</given-names></name></person-group> (<year>2017</year>). <article-title>Hippocampal information processing across sleep/wake cycles</article-title>. <source>Neurosci. Res.</source> <volume>118</volume>, <fpage>30</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neures.2017.04.018</pub-id>, PMID: <pub-id pub-id-type="pmid">28506629</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Narkiewicz</surname><given-names>K.</given-names></name> <name><surname>van de Borne</surname><given-names>P. J.</given-names></name> <name><surname>Montano</surname><given-names>N.</given-names></name> <name><surname>Dyken</surname><given-names>M. E.</given-names></name> <name><surname>Phillips</surname><given-names>B. G.</given-names></name> <name><surname>Somers</surname><given-names>V. K.</given-names></name></person-group> (<year>1998</year>). <article-title>Contribution of tonic chemoreflex activation to sympathetic activity and blood pressure in patients with obstructive sleep apnea</article-title>. <source>Circulation</source> <volume>97</volume>, <fpage>943</fpage>&#x2013;<lpage>945</lpage>. doi: <pub-id pub-id-type="doi">10.1161/01.cir.97.10.943</pub-id>, PMID: <pub-id pub-id-type="pmid">9529260</pub-id></citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ni</surname><given-names>Y. N.</given-names></name> <name><surname>Lei</surname><given-names>F.</given-names></name> <name><surname>Tang</surname><given-names>X.</given-names></name> <name><surname>Liang</surname><given-names>Z.</given-names></name> <name><surname>Hilmisson</surname><given-names>H.</given-names></name> <name><surname>Thomas</surname><given-names>R. J.</given-names></name></person-group> (<year>2024</year>). <article-title>Cardiopulmonary coupling predictors of blood pressure response to positive airway pressure therapy</article-title>. <source>Sleep Med.</source> <volume>124</volume>, <fpage>576</fpage>&#x2013;<lpage>581</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.sleep.2024.10.025</pub-id>, PMID: <pub-id pub-id-type="pmid">39471727</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ni</surname><given-names>Y. N.</given-names></name> <name><surname>Thomas</surname><given-names>R. J.</given-names></name></person-group> (<year>2023</year>). <article-title>Predictors and consequences of residual apnea during positive airway pressure therapy</article-title>. <source>Sleep Med.</source> <volume>106</volume>, <fpage>42</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.sleep.2023.03.027</pub-id>, PMID: <pub-id pub-id-type="pmid">37044000</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Patil</surname><given-names>S. P.</given-names></name> <name><surname>Ayappa</surname><given-names>I. A.</given-names></name> <name><surname>Caples</surname><given-names>S. M.</given-names></name> <name><surname>Kimoff</surname><given-names>R. J.</given-names></name> <name><surname>Patel</surname><given-names>S. R.</given-names></name> <name><surname>Harrod</surname><given-names>C. G.</given-names></name></person-group> (<year>2019</year>). <article-title>Treatment of adult obstructive sleep apnea with positive airway pressure: an American Academy of sleep medicine clinical practice guideline</article-title>. <source>J. Clin. Sleep Med.</source> <volume>15</volume>, <fpage>335</fpage>&#x2013;<lpage>343</lpage> <comment>(In eng)</comment>. doi: <pub-id pub-id-type="doi">10.5664/jcsm.7640</pub-id>, PMID: <pub-id pub-id-type="pmid">30736887</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Peled</surname><given-names>N.</given-names></name> <name><surname>Greenberg</surname><given-names>A.</given-names></name> <name><surname>Pillar</surname><given-names>G.</given-names></name> <name><surname>Zinder</surname><given-names>O.</given-names></name> <name><surname>Levi</surname><given-names>N.</given-names></name> <name><surname>Lavie</surname><given-names>P.</given-names></name></person-group> (<year>1998</year>). <article-title>Contributions of hypoxia and respiratory disturbance index to sympathetic activation and blood pressure in obstructive sleep apnea syndrome</article-title>. <source>Am. J. Hypertens.</source> <volume>11</volume>, <fpage>1284</fpage>&#x2013;<lpage>1289</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0895-7061(98)00159-9</pub-id>, PMID: <pub-id pub-id-type="pmid">9832170</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Peyrache</surname><given-names>A.</given-names></name> <name><surname>Seibt</surname><given-names>J.</given-names></name></person-group> (<year>2020</year>). <article-title>A mechanism for learning with sleep spindles</article-title>. <source>Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci.</source> <volume>375</volume>:<fpage>20190230</fpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2019.0230</pub-id>, PMID: <pub-id pub-id-type="pmid">32248788</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pollicina</surname><given-names>I.</given-names></name> <name><surname>Maniaci</surname><given-names>A.</given-names></name> <name><surname>Lechien</surname><given-names>J. R.</given-names></name> <name><surname>Iannella</surname><given-names>G.</given-names></name> <name><surname>Vicini</surname><given-names>C.</given-names></name> <name><surname>Cammaroto</surname><given-names>G.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Neurocognitive performance improvement after obstructive sleep apnea treatment: state of the art</article-title>. <source>Behav Sci (Basel)</source> <volume>11</volume>:<fpage>11(12)</fpage>. doi: <pub-id pub-id-type="doi">10.3390/bs11120180</pub-id>, PMID: <pub-id pub-id-type="pmid">34940115</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Puech</surname><given-names>C.</given-names></name> <name><surname>Badran</surname><given-names>M.</given-names></name> <name><surname>Runion</surname><given-names>A. R.</given-names></name> <name><surname>Barrow</surname><given-names>M. B.</given-names></name> <name><surname>Cataldo</surname><given-names>K.</given-names></name> <name><surname>Gozal</surname><given-names>D.</given-names></name></person-group> (<year>2023</year>). <article-title>Cognitive impairments, Neuroinflammation and blood-brain barrier permeability in mice exposed to chronic sleep fragmentation during the daylight period</article-title>. <source>Int. J. Mol. Sci.</source> <volume>24</volume>:<fpage>9880</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms24129880</pub-id>, PMID: <pub-id pub-id-type="pmid">37373028</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sacramento</surname><given-names>J. F.</given-names></name> <name><surname>Andrzejewski</surname><given-names>K.</given-names></name> <name><surname>Melo</surname><given-names>B. F.</given-names></name> <name><surname>Ribeiro</surname><given-names>M. J.</given-names></name> <name><surname>Obeso</surname><given-names>A.</given-names></name> <name><surname>Conde</surname><given-names>S. V.</given-names></name></person-group> (<year>2020</year>). <article-title>Exploring the mediators that promote carotid body dysfunction in type 2 diabetes and obesity related syndromes</article-title>. <source>Int. J. Mol. Sci.</source> <volume>21</volume>:<fpage>5545</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms21155545</pub-id>, PMID: <pub-id pub-id-type="pmid">32756352</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salfi</surname><given-names>F.</given-names></name> <name><surname>D'Atri</surname><given-names>A.</given-names></name> <name><surname>Tempesta</surname><given-names>D.</given-names></name> <name><surname>De Gennaro</surname><given-names>L.</given-names></name> <name><surname>Ferrara</surname><given-names>M.</given-names></name></person-group> (<year>2020</year>). <article-title>Boosting slow oscillations during sleep to improve memory function in elderly people: a review of the literature</article-title>. <source>Brain Sci.</source> <volume>10</volume>:<fpage>300</fpage>. doi: <pub-id pub-id-type="doi">10.3390/brainsci10050300</pub-id>, PMID: <pub-id pub-id-type="pmid">32429181</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>S&#x00E1;nchez</surname><given-names>A. I.</given-names></name> <name><surname>Mart&#x00ED;nez</surname><given-names>P.</given-names></name> <name><surname>Mir&#x00F3;</surname><given-names>E.</given-names></name> <name><surname>Bardwell</surname><given-names>W. A.</given-names></name> <name><surname>Buela-Casal</surname><given-names>G.</given-names></name></person-group> (<year>2009</year>). <article-title>CPAP and behavioral therapies in patients with obstructive sleep apnea: effects on daytime sleepiness, mood, and cognitive function</article-title>. <source>Sleep Med. Rev.</source> <volume>13</volume>, <fpage>223</fpage>&#x2013;<lpage>233</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.smrv.2008.07.002</pub-id>, PMID: <pub-id pub-id-type="pmid">19201228</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shaw</surname><given-names>K.</given-names></name> <name><surname>Bell</surname><given-names>L.</given-names></name> <name><surname>Boyd</surname><given-names>K.</given-names></name> <name><surname>Grijseels</surname><given-names>D. M.</given-names></name> <name><surname>Clarke</surname><given-names>D.</given-names></name> <name><surname>Bonnar</surname><given-names>O.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Neurovascular coupling and oxygenation are decreased in hippocampus compared to neocortex because of microvascular differences</article-title>. <source>Nat. Commun.</source> <volume>12</volume>:<fpage>3190</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-021-23508-y</pub-id>, PMID: <pub-id pub-id-type="pmid">34045465</pub-id></citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stamatakis</surname><given-names>K. A.</given-names></name> <name><surname>Punjabi</surname><given-names>N. M.</given-names></name></person-group> (<year>2010</year>). <article-title>Effects of sleep fragmentation on glucose metabolism in normal subjects</article-title>. <source>Chest</source> <volume>137</volume>, <fpage>95</fpage>&#x2013;<lpage>101</lpage>. doi: <pub-id pub-id-type="doi">10.1378/chest.09-0791</pub-id>, PMID: <pub-id pub-id-type="pmid">19542260</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Swenson</surname><given-names>E. R.</given-names></name></person-group> (<year>2020</year>). <article-title>Sympathetic nervous system activation and vascular endothelial function with chronic hypoxia</article-title>. <source>Circ. Res.</source> <volume>127</volume>, <fpage>247</fpage>&#x2013;<lpage>248</lpage>. doi: <pub-id pub-id-type="doi">10.1161/CIRCRESAHA.120.317114</pub-id>, PMID: <pub-id pub-id-type="pmid">32614721</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname><given-names>R. J.</given-names></name> <name><surname>Mietus</surname><given-names>J. E.</given-names></name> <name><surname>Peng</surname><given-names>C. K.</given-names></name> <name><surname>Gilmartin</surname><given-names>G.</given-names></name> <name><surname>Daly</surname><given-names>R. W.</given-names></name> <name><surname>Goldberger</surname><given-names>A. L.</given-names></name> <etal/></person-group>. (<year>2007</year>). <article-title>Differentiating obstructive from central and complex sleep apnea using an automated electrocardiogram-based method</article-title>. <source>Sleep</source> <volume>30</volume>, <fpage>1756</fpage>&#x2013;<lpage>1769</lpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/30.12.1756</pub-id>, PMID: <pub-id pub-id-type="pmid">18246985</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname><given-names>R. J.</given-names></name> <name><surname>Mietus</surname><given-names>J. E.</given-names></name> <name><surname>Peng</surname><given-names>C. K.</given-names></name> <name><surname>Goldberger</surname><given-names>A. L.</given-names></name></person-group> (<year>2005</year>). <article-title>An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep</article-title>. <source>Sleep</source> <volume>28</volume>, <fpage>1151</fpage>&#x2013;<lpage>1161</lpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/28.9.1151</pub-id>, PMID: <pub-id pub-id-type="pmid">16268385</pub-id></citation></ref>
<ref id="ref40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thomas</surname><given-names>R. J.</given-names></name> <name><surname>Wood</surname><given-names>C.</given-names></name> <name><surname>Bianchi</surname><given-names>M. T.</given-names></name></person-group> (<year>2018</year>). <article-title>Cardiopulmonary coupling spectrogram as an ambulatory clinical biomarker of sleep stability and quality in health, sleep apnea, and insomnia</article-title>. <source>Sleep</source> <volume>41</volume>:<fpage>zsx196</fpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/zsx196</pub-id>, PMID: <pub-id pub-id-type="pmid">29237080</pub-id></citation></ref>
<ref id="ref41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vanek</surname><given-names>J.</given-names></name> <name><surname>Prasko</surname><given-names>J.</given-names></name> <name><surname>Genzor</surname><given-names>S.</given-names></name> <name><surname>Ociskova</surname><given-names>M.</given-names></name> <name><surname>Kantor</surname><given-names>K.</given-names></name> <name><surname>Holubova</surname><given-names>M.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Obstructive sleep apnea, depression and cognitive impairment</article-title>. <source>Sleep Med.</source> <volume>72</volume>, <fpage>50</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.sleep.2020.03.017</pub-id>, PMID: <pub-id pub-id-type="pmid">32544796</pub-id></citation></ref>
<ref id="ref42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ziegler</surname><given-names>M. G.</given-names></name> <name><surname>Mills</surname><given-names>P. J.</given-names></name> <name><surname>Loredo</surname><given-names>J. S.</given-names></name> <name><surname>Ancoli-Israel</surname><given-names>S.</given-names></name> <name><surname>Dimsdale</surname><given-names>J. E.</given-names></name></person-group> (<year>2001</year>). <article-title>Effect of continuous positive airway pressure and placebo treatment on sympathetic nervous activity in patients with obstructive sleep apnea</article-title>. <source>Chest</source> <volume>120</volume>, <fpage>887</fpage>&#x2013;<lpage>893</lpage>. doi: <pub-id pub-id-type="doi">10.1378/chest.120.3.887</pub-id>, PMID: <pub-id pub-id-type="pmid">11555525</pub-id></citation></ref>
<ref id="ref43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zinchuk</surname><given-names>A. V.</given-names></name> <name><surname>Kushida</surname><given-names>C. A.</given-names></name> <name><surname>Walker</surname><given-names>A.</given-names></name> <name><surname>Wellman</surname><given-names>A.</given-names></name> <name><surname>Azarbarzin</surname><given-names>A.</given-names></name> <name><surname>Alex</surname><given-names>R. M.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Arousal threshold modifies the effect of CPAP on executive function among individuals with obstructive sleep apnoea</article-title>. <source>Eur. Respir. J.</source> <volume>65</volume>:<fpage>2401183</fpage>. doi: <pub-id pub-id-type="doi">10.1183/13993003.01183-2024</pub-id>, PMID: <pub-id pub-id-type="pmid">39572221</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Glossary</title>
<def-item>
<term>AHI</term>
<def>
<p>Apnea Hypopnea Index</p>
</def>
</def-item>
<def-item>
<term>APPLES</term>
<def>
<p>Apnea Positive Pressure Long-term Efficacy Study</p>
</def>
</def-item>
<def-item>
<term>BMI</term>
<def>
<p>Body Mass Index</p>
</def>
</def-item>
<def-item>
<term>BSRT-SR</term>
<def>
<p>Buschke Selective Reminding Test-Sum Recall</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>Confidence Interval</p>
</def>
</def-item>
<def-item>
<term>CPAP</term>
<def>
<p>Continuous Positive Airway Pressure</p>
</def>
</def-item>
<def-item>
<term>CPC</term>
<def>
<p>Cardiopulmonary Coupling</p>
</def>
</def-item>
<def-item>
<term>e-LFC<sub>NB</sub></term>
<def>
<p>Percentage of Narrow Band During Low Frequency Coupling</p>
</def>
</def-item>
<def-item>
<term>ECG</term>
<def>
<p>electrocardiogram</p>
</def>
</def-item>
<def-item>
<term>HFC</term>
<def>
<p>High frequency coupling</p>
</def>
</def-item>
<def-item>
<term>HRV</term>
<def>
<p>heart rate variability</p>
</def>
</def-item>
<def-item>
<term>IQR</term>
<def>
<p>interquartile range</p>
</def>
</def-item>
<def-item>
<term>LFC</term>
<def>
<p>Low Frequency Coupling</p>
</def>
</def-item>
<def-item>
<term>NREM</term>
<def>
<p>Non Rapid Eye Movement Sleep</p>
</def>
</def-item>
<def-item>
<term>OSA</term>
<def>
<p>Obstructive Sleep Apnea</p>
</def>
</def-item>
<def-item>
<term>PFN-TOTL</term>
<def>
<p>Pathfinder Number Test-Total Time</p>
</def>
</def-item>
<def-item>
<term>PSG</term>
<def>
<p>Polysomnogram</p>
</def>
</def-item>
<def-item>
<term>REM</term>
<def>
<p>Rapid Eye Movement Sleep</p>
</def>
</def-item>
<def-item>
<term>SD</term>
<def>
<p>Standard Deviation</p>
</def>
</def-item>
<def-item>
<term>SWMT-OMD</term>
<def>
<p>Sustained Working Memory Test-Overall Mid-Day Index</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>