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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2024.1483989</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The impact of surgery with general anesthesia on cognitive function and putamen volume: a cross-sectional study among older adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Jiang</surname> <given-names>Jianjun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname> <given-names>Zhuyun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zheng</surname> <given-names>Hong</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name><surname>Lu</surname> <given-names>Jian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Anorectal, KongJiang Hospital of Yangpu District</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of General Surgery, Yangpu Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Shanghai Changing Mental Health Center, Affiliated Mental Health Center of East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002"><p>Edited by: Enzo Emanuele, 2E Science, Italy</p></fn>
<fn fn-type="edited-by" id="fn0003"><p>Reviewed by: Vaitsa Giannouli, Aristotle University of Thessaloniki, Greece</p><p>James Cottrell, Downstate Health Sciences University, United States</p><p>John Hartung, Downstate Health Sciences University, United States, in collaboration with reviewer JC</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jian Lu, <email>13601744929@163.com</email>; Wei Li, <email>822203867@qq.com</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>16</volume>
<elocation-id>1483989</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Jiang, Zhang, Zheng, Lu and Li.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Jiang, Zhang, Zheng, Lu and Li</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>Background</title>
<p>Previous studies have shown that surgery under general anesthesia may diminish cognitive function; however, the proposed mechanisms need further elucidation. The purpose of the current study was twofold: (1) to compare overall and domain-specific differences in cognitive function between the surgery under general anesthesia group and the control group, and (2) to investigate the possible mechanisms of surgery under general anesthesia affecting cognitive function, using T1-structural magnetic resonance imaging.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A total of 194 older adults were included in this study. Patients were divided into a surgery under general anesthesia group (<italic>n</italic>&#x202F;=&#x202F;92) and a control group (<italic>n</italic>&#x202F;=&#x202F;104). The two groups were matched for age, sex, and educational level. All participants underwent clinical evaluation, neuropsychological testing, blood biochemistry analysis, and T1 phase structural magnetic resonance imaging.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>We found that older adults with a history of surgery under general anesthesia had lower Montreal Cognitive Assessment (MoCA) scores and smaller right putamen volumes (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Linear regression analysis (mediation model) indicated that surgery under general anesthesia affected MoCA scores by diminishing the volume of the right putamen (B&#x202F;=&#x202F;1.360, <italic>p</italic>&#x202F;=&#x202F;0.030).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>We found evidence that older adults who underwent surgery under general anesthesia had poorer cognitive function, which may have been caused by an apoptotic or otherwise toxic effect of anesthetic drugs on the volume of the right putamen.</p>
</sec>
</abstract>
<kwd-group>
<kwd>surgery</kwd>
<kwd>general anesthesia</kwd>
<kwd>MRI</kwd>
<kwd>putamen</kwd>
<kwd>2 cognitive function</kwd>
<kwd>older adults</kwd>
</kwd-group>
<contract-num rid="cn1">RCJD2022S07</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="6"/>
<word-count count="4112"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Alzheimer's Disease and Related Dementias</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Alzheimer&#x2019;s disease (AD), the leading cause of dementia, has rapidly become one of the most expensive, deadly, and burdensome diseases of this century (<xref ref-type="bibr" rid="ref13">Scheltens et al., 2021</xref>). The core pathological features of Alzheimer&#x2019;s disease are amyloid plaques and neurofibrillary tangles (NFTs), and factors such as immunity, inflammation, and infection may also contribute to the pathogenesis of AD (<xref ref-type="bibr" rid="ref18">Serrano-Pozo et al., 2011</xref>). Currently, available treatments for AD include cholinesterase inhibitors and memantine. These drugs have been shown to improve the patients&#x2019; quality of life; however, they do not change the course of the disease or its rate of decline (<xref ref-type="bibr" rid="ref11">Mossello and Ballini, 2012</xref>). Therefore, we are more concerned with early prevention than late treatment.</p>
<p>As the age of an individual increases, the probability of undergoing surgery under general anesthesia also increases. A substantial body of evidence from both <italic>in vivo</italic> and <italic>in vitro</italic> models suggests that exposure to anesthetics may increase the risk of AD through a mechanism similar to its neuropathology (<xref ref-type="bibr" rid="ref20">Tsolaki et al., 2024</xref>). In addition, epidemiological studies have shown that surgery under general anesthesia is likely to increase the risk of AD. For instance, in a study by <xref ref-type="bibr" rid="ref21">Vanderweyde et al. (2010)</xref>, prostate or hernia surgery increased the risk of dementia, especially AD (<xref ref-type="bibr" rid="ref21">Vanderweyde et al., 2010</xref>). In a nine-year follow-up of 3,100 patients, Sohn et al. found that the overall incidence of dementia was higher in those who underwent surgery under general anesthesia than in the control group (10.5 versus 8.8 per 1,000 person-years), especially among women or individuals with combined medical conditions (<xref ref-type="bibr" rid="ref19">Sohn et al., 2021</xref>). However, a recent meta-analysis of case&#x2013;control studies (<italic>N</italic>&#x202F;=&#x202F;15) found no association between AD and prior exposure to surgery under general anesthesia (OR&#x202F;=&#x202F;1.05, 95% CI: 0.93&#x2013;1.19, <italic>p</italic>&#x202F;=&#x202F;0.4) (<xref ref-type="bibr" rid="ref15">Seitz et al., 2013</xref>; <xref ref-type="bibr" rid="ref16">Seitz et al., 2011</xref>). Therefore, the link between surgery under general anesthesia and dementia needs to be further studied.</p>
<p>Magnetic resonance imaging (MRI) is an effective tool for studying brain and cognitive function and helps reveal the possible mechanisms through which anesthesia affects cognition. In animal studies, researchers have found that the putamen is unusually sensitive to narcotic drugs, such as sevoflurane (<xref ref-type="bibr" rid="ref2">Burks et al., 2020</xref>). In another animal experiment, the researchers found that Fluoro-Jade C staining in the caudate putamen of mice was significantly elevated after sevoflurane exposure (<xref ref-type="bibr" rid="ref22">Walters et al., 2020</xref>). Moreover, one study showed that when normal individuals undergo surgery under general anesthesia, blood flow in the putamen is significantly reduced (<xref ref-type="bibr" rid="ref14">Schl&#x00FC;nzen et al., 2007</xref>). Therefore, we speculate that the putamen is likely the target of cognitive decline induced by surgery under general anesthesia.</p>
<p>To test the above research hypothesis, we recruited 92 community-dwelling older adults who had undergone surgery under general anesthesia and 102 normal controls who were matched for age, sex, and education. All participants completed blood biochemical, neuropsychological, and T1 structural magnetic resonance tests. We hypothesized that: (1) older adults who have undergone surgery under general anesthesia may have poorer cognitive function, and (2) structural changes in the putamen may play an important regulatory role in the process of anesthesia-induced cognitive decline.</p>
</sec>
<sec id="sec6">
<label>2</label>
<title>Materials and methods (<xref ref-type="bibr" rid="ref7">Li et al., 2022</xref>)</title>
<sec id="sec7">
<label>2.1</label>
<title>Participants</title>
<p>This cross-sectional study was conducted at the KongJiang Hospital of Yangpu District between March 1, 2023 and April 1, 2024. The inclusion criteria were as follows: (1) aged 55&#x202F;years and above; (2) without significant cognitive impairment before surgery, such as mild cognitive impairment (MCI) or dementia; (3) without obvious visual or hearing impairment; (4) T1-structural magnetic resonance tests. The exclusion criteria were as follows: (1) aged below 55&#x202F;years; (2) non-surgery with general anesthesia, such as surgery with local anesthesia; (3) chronic diseases that may affect cognitive function, such as dementia, major depressive disorder, and schizophrenia; and (4) complicated by serious physical diseases, such as myocardial infarction, cerebral infarction, and cerebral hemorrhage. Simultaneously, we recruited a group of normal controls from the Yangpu community who had not undergone surgery under general anesthesia; their inclusion and exclusion criteria were the same as before. To exclude the effects of age, sex, and education on cognitive function, we matched the variables between the two groups.</p>
<p>All participants signed an informed consent form before the study was initiated, and ethical approval was obtained from the Ethics Committee of KongJiang Hospital of Yang Pu District.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Sample size evaluation</title>
<p>Under previous magnetic resonance imaging (fMRI) protocols, a sample size of 30 cases per group has become the &#x201C;minimum requirement&#x201D; and common choice for confirmatory studies (<xref ref-type="bibr" rid="ref27">Zhou et al., 2024</xref>). Since we also needed to match sex, age, and education level, we needed at least 87 participants per group after calculating through the Power Analysis and Sample Size (PASS) software. Finally, we enrolled 92 surgical patients and 102 normal controls, matched for sex (males: 39 (42.4%) vs. 57 (55.9%), <italic>p</italic>&#x202F;=&#x202F;0.064), age (70.02&#x202F;&#x00B1;&#x202F;7.206 vs. 68.52&#x202F;&#x00B1;&#x202F;7.470, <italic>p</italic>&#x202F;=&#x202F;0.157), and years of education (8.44&#x202F;&#x00B1;&#x202F;4.452 vs. 9.51&#x202F;&#x00B1;&#x202F;3.601, <italic>p</italic>&#x202F;=&#x202F;0.071). The results are summarized in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Comparison of general demographic data, blood biochemical markers, neuropsychological tests, and brain structure between surgery and non-surgery individuals.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Surgery (<italic>n</italic> =&#x202F;92)</th>
<th align="center" valign="top">Non-surgery (<italic>n</italic> =&#x202F;102)</th>
<th align="center" valign="top">X<sup>2</sup> or t</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top">cohen&#x2019;d</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, y</td>
<td align="center" valign="top">70.02&#x202F;&#x00B1;&#x202F;7.206</td>
<td align="center" valign="top">68.52&#x202F;&#x00B1;&#x202F;7.470</td>
<td align="center" valign="top">1.422</td>
<td align="center" valign="top">0.157</td>
<td align="center" valign="top">0.010</td>
</tr>
<tr>
<td align="left" valign="top">Education, y</td>
<td align="center" valign="top">8.44&#x202F;&#x00B1;&#x202F;4.452</td>
<td align="center" valign="top">9.51&#x202F;&#x00B1;&#x202F;3.601</td>
<td align="center" valign="top">&#x2212;1.814</td>
<td align="center" valign="top">0.071</td>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic>(%)</td>
<td align="center" valign="top">39(42.4)</td>
<td align="center" valign="top">57(55.9)</td>
<td align="center" valign="top">3.522</td>
<td align="center" valign="top">0.064</td>
<td align="center" valign="top">0.018</td>
</tr>
<tr>
<td align="left" valign="top">Smoker, <italic>n</italic>(%)</td>
<td align="center" valign="top">26(28.3)</td>
<td align="center" valign="top">32(31.4)</td>
<td align="center" valign="top">0.223</td>
<td align="center" valign="top">0.754</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Drinker, <italic>n</italic>(%)</td>
<td align="center" valign="top">16(17.4)</td>
<td align="center" valign="top">22(21.6)</td>
<td align="center" valign="top">0.536</td>
<td align="center" valign="top">0.476</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension, <italic>n</italic>(%)</td>
<td align="center" valign="top">44(47.8)</td>
<td align="center" valign="top">51(50.0)</td>
<td align="center" valign="top">0.091</td>
<td align="center" valign="top">0.776</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Diabetes, <italic>n</italic>(%)</td>
<td align="center" valign="top">17(18.5)</td>
<td align="center" valign="top">19(18.6)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">1.000</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Blood biochemical markers</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fasting blood glucose, mmol/L</td>
<td align="center" valign="top">1.35&#x202F;&#x00B1;&#x202F;0.71</td>
<td align="center" valign="top">1.52&#x202F;&#x00B1;&#x202F;0.75</td>
<td align="center" valign="top">&#x2212;1.231</td>
<td align="center" valign="top">0.221</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Triglycerides, mmol/L</td>
<td align="center" valign="top">1.51&#x202F;&#x00B1;&#x202F;0.87</td>
<td align="center" valign="top">1.44&#x202F;&#x00B1;&#x202F;0.79</td>
<td align="center" valign="top">0.434</td>
<td align="center" valign="top">0.665</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top">High-density lipoprotein, mmol/L</td>
<td align="center" valign="top">1.46&#x202F;&#x00B1;&#x202F;0.82</td>
<td align="center" valign="top">1.26&#x202F;&#x00B1;&#x202F;0.67</td>
<td align="center" valign="top">1.340</td>
<td align="center" valign="top">0.183</td>
<td align="center" valign="top">0.010</td>
</tr>
<tr>
<td align="left" valign="top">Low-density lipoprotein, mmol/L</td>
<td align="center" valign="top">1.66&#x202F;&#x00B1;&#x202F;0.85</td>
<td align="center" valign="top">1.51&#x202F;&#x00B1;&#x202F;0.70</td>
<td align="center" valign="top">0.932</td>
<td align="center" valign="top">0.354</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Apoprotein A</td>
<td align="center" valign="top">1.80&#x202F;&#x00B1;&#x202F;0.86</td>
<td align="center" valign="top">1.64&#x202F;&#x00B1;&#x202F;0.77</td>
<td align="center" valign="top">1.034</td>
<td align="center" valign="top">0.303</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Neuropsychological tests</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">MoCA</td>
<td align="center" valign="top">23.34&#x202F;&#x00B1;&#x202F;4.983</td>
<td align="center" valign="top">24.94&#x202F;&#x00B1;&#x202F;3.612</td>
<td align="center" valign="top">&#x2212;2.528</td>
<td align="center" valign="top">0.012&#x002A;</td>
<td align="center" valign="top">0.034</td>
</tr>
<tr>
<td align="left" valign="top">Digit span</td>
<td align="center" valign="top">14.60&#x202F;&#x00B1;&#x202F;4.299</td>
<td align="center" valign="top">15.11&#x202F;&#x00B1;&#x202F;3.857</td>
<td align="center" valign="top">&#x2212;0.888</td>
<td align="center" valign="top">0.376</td>
<td align="center" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Auditory word learning test</td>
<td align="center" valign="top">32.23&#x202F;&#x00B1;&#x202F;8.982</td>
<td align="center" valign="top">32.17&#x202F;&#x00B1;&#x202F;9.320</td>
<td align="center" valign="top">0.045</td>
<td align="center" valign="top">0.964</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Associative learning test</td>
<td align="center" valign="top">6.55&#x202F;&#x00B1;&#x202F;3.407</td>
<td align="center" valign="top">6.58&#x202F;&#x00B1;&#x202F;3.169</td>
<td align="center" valign="top">&#x2212;0.072</td>
<td align="center" valign="top">0.943</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Visual recognition function test</td>
<td align="center" valign="top">3.41&#x202F;&#x00B1;&#x202F;0.869</td>
<td align="center" valign="top">3.62&#x202F;&#x00B1;&#x202F;0.630</td>
<td align="center" valign="top">&#x2212;1.912</td>
<td align="center" valign="top">0.058</td>
<td align="center" valign="top">0.019</td>
</tr>
<tr>
<td align="left" valign="top">Language fluency</td>
<td align="center" valign="top">26.98&#x202F;&#x00B1;&#x202F;8.226</td>
<td align="center" valign="top">28.58&#x202F;&#x00B1;&#x202F;9.771</td>
<td align="center" valign="top">&#x2212;1.225</td>
<td align="center" valign="top">0.222</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Webster&#x2019;s mapping</td>
<td align="center" valign="top">10.47&#x202F;&#x00B1;&#x202F;3.53</td>
<td align="center" valign="top">10.83&#x202F;&#x00B1;&#x202F;4.483</td>
<td align="center" valign="top">&#x2212;0.627</td>
<td align="center" valign="top">0.532</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Wechsler block diagram</td>
<td align="center" valign="top">27.26&#x202F;&#x00B1;&#x202F;8.097</td>
<td align="center" valign="top">27.89&#x202F;&#x00B1;&#x202F;8.034</td>
<td align="center" valign="top">&#x2212;0.554</td>
<td align="center" valign="top">0.587</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Brain structure</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Total brain volume, cm<sup>3</sup></td>
<td align="center" valign="top">1443.68&#x202F;&#x00B1;&#x202F;149.390</td>
<td align="center" valign="top">1464.90&#x202F;&#x00B1;&#x202F;145.76</td>
<td align="center" valign="top">&#x2212;0.996</td>
<td align="center" valign="top">0.321</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Left hippocampus, cm<sup>3</sup></td>
<td align="center" valign="top">3.566&#x202F;&#x00B1;&#x202F;0.430</td>
<td align="center" valign="top">3.660&#x202F;&#x00B1;&#x202F;0.431</td>
<td align="center" valign="top">&#x2212;1.510</td>
<td align="center" valign="top">0.133</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="left" valign="top">Right hippocampus, cm<sup>3</sup></td>
<td align="center" valign="top">3.742&#x202F;&#x00B1;&#x202F;0.501</td>
<td align="center" valign="top">3.877&#x202F;&#x00B1;&#x202F;0.482</td>
<td align="center" valign="top">&#x2212;1.902</td>
<td align="center" valign="top">0.059</td>
<td align="center" valign="top">0.018</td>
</tr>
<tr>
<td align="left" valign="top">Left putamen, cm<sup>3</sup></td>
<td align="center" valign="top">4.425&#x202F;&#x00B1;&#x202F;0.564</td>
<td align="center" valign="top">4.578&#x202F;&#x00B1;&#x202F;0.662</td>
<td align="center" valign="top">&#x2212;1.717</td>
<td align="center" valign="top">0.088</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">Right putamen, cm<sup>3</sup></td>
<td align="center" valign="top">4.444&#x202F;&#x00B1;&#x202F;0.571</td>
<td align="center" valign="top">4.660&#x202F;&#x00B1;&#x202F;0.658</td>
<td align="center" valign="top">&#x2212;2.439</td>
<td align="center" valign="top">0.016&#x002A;</td>
<td align="center" valign="top">0.030</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;means <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05; MoCA means montreal cognitive assessment.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Clinical assessment and general demographic data collection</title>
<p>All participants completed a series of clinical assessments, physical examinations, and general demographic surveys. Through face-to-face interviews, we obtained general demographic data (age, sex, and education), daily living habits (smoking and drinking), and disease history (hypertension and diabetes). At the same time, we also investigated information about surgery with general anesthesia, including the age at surgery, the type of surgery as well as the main drugs used for surgery under general anesthesia.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Neuropsychological assessment</title>
<p>All participants completed a series of neuropsychological tests, including the Montreal Cognitive Assessment (MoCA) (<xref ref-type="bibr" rid="ref12">Nasreddine et al., 2005</xref>), digit span (<xref ref-type="bibr" rid="ref6">Leung et al., 2011</xref>), auditory word learning test (<xref ref-type="bibr" rid="ref5">Hong et al., 2012</xref>), associative learning test, visual recognition function test, verbal fluency tasks (<xref ref-type="bibr" rid="ref1">Aita et al., 2019</xref>), Webster&#x2019;s mapping, and Wechsler block diagram (<xref ref-type="bibr" rid="ref8">Li et al., 2017</xref>). The cognitive areas assessed in these scales are: overall cognitive function, attention and short-term memory, auditory memory, association and reaction speed, visual ability to distinguish numbers, letters and words, language ability, semantic memory and executive function. All scales were completed by professionally trained psychological testers and consistency training was conducted to ensure accuracy and consistency of the scale assessment.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Biochemical indexes</title>
<p>After an overnight fast, peripheral blood samples were collected between 7&#x202F;a.m. and 9&#x202F;a.m. Serum separation tubes containing activated clot gel were used to detect biochemical indices. Fasting blood glucose, triglyceride, high-density lipoprotein, low-density lipoprotein, and apoprotein A levels were measured using an Olympus AU2700 automatic biochemical analyzer (Beckman Coulter, Inc., Carlsbad, CA, United States).</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>T1 phase structure magnetic resonance imaging</title>
<p>Structural images of the brain were captured using a Magnetom Verio 3.0&#x202F;T scanner (Siemens, Munich, Germany). The sequence parameters of the rapid gradient echo (MPRAGE) prepared using T1-weighted three-dimensional magnetization were as follows: TR&#x202F;=&#x202F;2,300&#x202F;ms, TE&#x202F;=&#x202F;2.98&#x202F;ms, matrix size&#x202F;=&#x202F;240&#x202F;&#x00D7;&#x202F;256, turning angle&#x202F;=&#x202F;9 &#x00B0;, film thickness&#x202F;=&#x202F;1.2&#x202F;mm, and field of view (FOV)&#x202F;=&#x202F;240&#x202F;&#x00D7;&#x202F;256&#x202F;mm. As described by Wolz et al., volume data was evaluated by an automated procedure (<xref ref-type="bibr" rid="ref23">Wolz et al., 2014</xref>). Using FreeSurfer, we obtained the participants&#x2019; whole-brain, hippocampal, and caudate putamen volumes. In addition, to evaluate the impact of left&#x2013;right differences, the asymmetry index was calculated as [right-to-left volume]/[total volume]&#x202F;&#x00D7;&#x202F;100%. Quality control was ensured by overlapping the output packages on FreeSurfer templates and visual evaluations were performed.</p>
</sec>
</sec>
<sec id="sec13">
<label>3</label>
<title>Statistical analysis</title>
<p>Continuous variables are expressed as mean&#x202F;&#x00B1;&#x202F;standard deviation (SD), and categorical variables are expressed as frequency (%). The one-sample Kolmogorov&#x2013;Smirnov test was used to test whether the data conformed to a normal distribution. Independent sample t-tests and Kruskal-Wallis H tests were used to compare normal and non-normal data between the surgical and non-surgical groups, respectively. Chi-square tests were used to compare the classification variables. Next, correlation and linear regression analyses (mediating model) were used to investigate the associations between surgery and general anesthesia, cognitive-related brain areas, and cognitive scores. A two-tailed test was used for all analyses, and the significance level was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. SPSS 22.0 (IBM Corporation, Armonk, NY, United States) was used for data analysis.</p>
</sec>
<sec sec-type="results" id="sec14">
<label>4</label>
<title>Results</title>
<sec id="sec15">
<label>4.1</label>
<title>Characteristics of subjects with different surgical conditions</title>
<p>Participants who underwent surgery under general anesthesia had lower overall MoCA scores and a smaller volume of the right putamen than participants who did not undergo surgery under general anesthesia (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05), while there was no statistical difference (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) related to age, education, sex, smoking and drinking status, hypertension, diabetes, fasting blood glucose, triglyceride, high-density lipoprotein, low-density lipoprotein, apoprotein A, digit span, auditory word learning, associative learning, visual recognition function, language fluency, Webster&#x2019;s mapping, Wechsler block diagram, total brain volume, left hippocampus, right hippocampus, and left putamen between the two groups. <xref ref-type="table" rid="tab1">Table 1</xref> shows the results.</p>
</sec>
<sec id="sec16">
<label>4.2</label>
<title>The connection between surgery under general anesthesia and brain structure</title>
<p>To explain the possible mechanisms through which surgery under general anesthesia affects the overall cognitive function, we added T1-structural magnetic resonance data. We found that older adults with a history of surgery under general anesthesia had lower MoCA scores and smaller right putamen volumes (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Using correlation analysis, we found that the volume of the right amygdala was significantly correlated (<italic>p</italic>&#x202F;=&#x202F;0.008, r&#x202F;=&#x202F;0.189) with MoCA. Using linear regression analysis (mediation model), we found that surgery under general anesthesia directly affected the MoCA score by affecting the volume of the right putamen (B&#x202F;=&#x202F;1.360, <italic>p</italic>&#x202F;=&#x202F;0.030) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Mediating effect model among surgery, right putamen volume and MoCA score.</p>
</caption>
<graphic xlink:href="fnagi-16-1483989-g001.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>5</label>
<title>Discussion</title>
<p>The purpose of this study was to investigate the relationship between surgery under general anesthesia and cognitive decline, and to explore the possible mechanism through which surgery under general anesthesia affects cognitive function. In this study, we recruited 92 community-dwelling older adults who underwent surgery under general anesthesia and 102 healthy controls matched for age, sex, and education. We found that: (1) older adults who underwent surgery under general anesthesia had poorer overall cognitive function, and (2) surgery under general anesthesia may affect cognitive function by affecting the volume of the right putamen, and there might be a causal relationship between the three factors (surgery under general anesthesia, right putamen, and cognitive function).</p>
<p>Several studies have explored the relationship between surgery under general anesthesia and cognitive function. Yu et al. found that whether propofol or sevoflurane was used in thoracic surgery, it would damage the cognitive function of older adults (<xref ref-type="bibr" rid="ref25">Yu, 2017</xref>). Meng et al. found that surgery under general anesthesia and epidural anesthesia combined with general anesthesia can both damage the overall cognitive function of older adults with liver cancer (<xref ref-type="bibr" rid="ref10">Meng et al., 2021</xref>). Moreover, Zhang et al. found that in addition to overall cognitive function, surgery under general anesthesia can also impair social cognitive function in older adults (<xref ref-type="bibr" rid="ref26">Zhang et al., 2020</xref>). Therefore, our findings are consistent with these results.</p>
<p>To further explore the possible mechanisms through which surgery under general anesthesia affects overall cognitive function, we included T1 phase magnetic resonance data. We recruited two groups of older adults matched for age, sex, and education and ultimately found that individuals who underwent surgery under general anesthesia had poorer overall cognitive function than those who did not, while at the same time having a smaller right putamen volume. Using linear regression analysis (mediation model), we found that surgery under general anesthesia directly affected the MoCA score by affecting the volume of the right caudate putamen. The caudate putamen is part of the striatum and a component of the external vertebral system. Previous studies have shown that the anatomical connectivity, functional specialization, and neurochemical characteristics of the caudate putamen in patients with AD are significantly different from those in healthy controls (<xref ref-type="bibr" rid="ref17">Selden et al., 1994</xref>). Moreover, other studies have confirmed a significant reduction in the putamen volume in patients with AD (<xref ref-type="bibr" rid="ref24">Yoo et al., 2020</xref>; <xref ref-type="bibr" rid="ref3">Cogswell et al., 2021</xref>). Therefore, we speculated that the putamen may also be involved in the pathogenesis of AD. However, there are few studies on the relationship between surgery under general anesthesia and the putamen. Further investigation is needed to determine whether anesthetic drugs affect cognitive function by affecting the putamen.</p>
</sec>
<sec id="sec18">
<label>6</label>
<title>Limitations</title>
<p>Our study has some limitations. First, it is only a cross-sectional study that cannot establish a cause-and-effect relationship between surgery under general anesthesia and cognitive decline. Second, the relatively small sample size reduces the reliability of the study. Third, there are many confounding factors, such as different types of surgery, different choices of anesthetic drugs, and different durations of anesthesia, which may have affected the results. Fourth, our current study focuses only on the relationship between the putamen and surgery under general anesthesia without considering the impact of other cognitive brain regions, such as the hippocampus and amygdala, on the results, which is perhaps the biggest limitation of our study. Fifth, a recent review highlighted that stressful life events can also lead to cognitive deficits and even AD (not anesthesia itself, but the process of going to the hospital) (<xref ref-type="bibr" rid="ref9">Martin et al., 2024</xref>). In addition, it is difficult to separate the effects of anesthesia from the effects of surgery on cognition, which is a major limitation of the current study (<xref ref-type="bibr" rid="ref4">Cottrell and Hartung, 2020</xref>). Therefore, we plan to focus on solving these problems in future studies.</p>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>7</label>
<title>Conclusion</title>
<p>Surgery under general anesthesia may impair overall cognitive function in older adults, and the mechanism may be related to its effect on the right putamen volume.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics committee of KongJiang Hospital of Yangpu district. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="sec22">
<title>Author contributions</title>
<p>JJ: Conceptualization, Writing &#x2013; original draft. ZZ: Data curation, Writing &#x2013; original draft. HZ: Methodology, Writing &#x2013; original draft. JL: Funding acquisition, Writing &#x2013; review &#x0026; editing. WL: Writing &#x2013; original draft.</p>
</sec>
<sec sec-type="funding-information" id="sec23">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by grants from the Fei Xiang Program of the Shanghai Mental Health Center (2020-FX-03), the National Natural Science Foundation of China (82101564), and the Medical Master&#x2019;s and Doctoral Innovation Talent Base Project of Changning District (RCJD2022S07).</p>
</sec>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<p>The 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 sec-type="disclaimer" id="sec25">
<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>
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