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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pain Res.</journal-id>
<journal-title>Frontiers in Pain Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pain Res.</abbrev-journal-title>
<issn pub-type="epub">2673-561X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpain.2023.1096084</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pain Research</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A feasibility study of pre-sleep audio and visual alpha brain entrainment for people with chronic pain and sleep disturbance</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Halpin</surname><given-names>Stephen J.</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="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1876321/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Casson</surname><given-names>Alexander J.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/109714/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Tang</surname><given-names>Nicole K. Y.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Jones</surname><given-names>Anthony K. P.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1654800/overview" /></contrib>
<contrib contrib-type="author"><name><surname>O&#x2019;Connor</surname><given-names>Rory J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1354222/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Sivan</surname><given-names>Manoj</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/1158625/overview" /></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Academic Department of Rehabilitation Medicine, Leeds Institute of Rheumatic and Musculoskeletal Medicine</addr-line>, <institution>University of Leeds</institution>, <addr-line>Leeds</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Human Pain Research Group, Division of Neuroscience and Experimental Psychology</addr-line>, <institution>University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Department of Electrical and Electronic Engineering</addr-line>, <institution>University of Manchester</institution>, <addr-line>Manchester</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><label><sup>4</sup></label><addr-line>Department of Psychology</addr-line>, <institution>University of Warwick</institution>, <addr-line>Warwick</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Lee Fisher, University of Pittsburgh, United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Juan Lorenzo Terrasa, University of the Balearic Islands, Spain Sufang Liu, Texas A&#x0026;M University, United States Rohit Bose, University of Pittsburgh, United States</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Stephen J. Halpin <email>s.j.halpin@leeds.ac.uk</email></corresp>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to Neuromodulatory Interventions, a section of the journal Frontiers in Pain Research</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>23</day><month>02</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>4</volume><elocation-id>1096084</elocation-id>
<history>
<date date-type="received"><day>11</day><month>11</month><year>2022</year></date>
<date date-type="accepted"><day>08</day><month>02</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Halpin, Casson, Tang, Jones, O'Connor and Sivan.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Halpin, Casson, Tang, Jones, O'Connor and Sivan</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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><title>Introduction</title>
<p>Chronic pain and sleep disturbance are bi-directionally related. Cortical electrical activity in the alpha frequency band can be enhanced with sensory stimulation <italic>via</italic> the phenomenon of entrainment, and may reduce pain perception. A smartphone based programme which delivers 10&#x2005;Hz stimulation through flickering light or binaural beats was developed for use at night, pre-sleep, with the aim of improving night time pain and sleep and thereby subsequent pain and related daytime symptoms. The aim of this study was to assess the feasibility and give an indication of effect of this programme for individuals with chronic pain and sleep disturbance.</p>
</sec><sec><title>Materials and methods</title>
<p>In a non-controlled feasibility study participants used audio or visual alpha entrainment for 30&#x2005;min pre-sleep each night for 4 weeks, following a 1 week baseline period. The study was pre-registered at ClinicalTrials.gov with the ID NCT04176861.</p>
</sec><sec><title>Results</title>
<p>28 participants (79&#x0025; female, mean age 45 years) completed the study with high levels of data completeness (86&#x0025;) and intervention adherence (92&#x0025;). Daily sleep diaries showed an increase compared to baseline in total sleep time of 29&#x2005;min (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.0033), reduction in sleep onset latency of 13&#x2005;min (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.0043), and increase in sleep efficiency of 4.7&#x0025; (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.0009). Daily 0&#x2013;10 numerical rating scale of average pain at night improved by 0.5 points compared to baseline (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.027). Standardised questionnaires showed significant within-participant improvements in sleep quality (change in median Global PSQI from 16 to 12.5), pain interference (change in median BPI Pain Interference from 7.5 to 6.8), fatigue (change in median MFI total score from 82.5 to 77), and depression and anxiety (change in median HADS depression score from 12 to 10.5 and anxiety from 13.5 to 11).</p>
</sec><sec><title>Discussion</title>
<p>Pre-sleep use of a smartphone programme for alpha entrainment by audio or visual stimulation was feasible for individuals with chronic pain and sleep disturbance. The effect on symptoms requires further exploration in controlled studies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>brain stimulation</kwd>
<kwd>neuromodulation</kwd>
<kwd>visual</kwd>
<kwd>binaural beats</kwd>
<kwd>smartphone</kwd>
<kwd>fatigue</kwd>
<kwd>mood</kwd>
</kwd-group><contract-sponsor id="cn001">Royal College of Physicians<named-content content-type="fundref-id">10.13039/501100000395</named-content></contract-sponsor><counts>
<fig-count count="4"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="50"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Chronic pain represents a significant unmet global health need. It is highly prevalent, affecting one-fifth to one-third of adults (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>) and represents one of the greatest contributors to disability globally (<xref ref-type="bibr" rid="B3">3</xref>). Conventional analgesic medications have poor efficacy and unfavourable side effect profiles when used for chronic pain (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>) and many individuals regard their pain as inadequately controlled (<xref ref-type="bibr" rid="B6">6</xref>). New paradigms of treatment are required, which is why the interplay between sleep and chronic pain has received increased attention in recent years as a priority area for research (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Sleep problems are very common in people living with chronic painful conditions (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and almost universal in those with fibromyalgia (<xref ref-type="bibr" rid="B11">11</xref>). The relationship between pain and sleep is bidirectional (<xref ref-type="bibr" rid="B12">12</xref>), and is seen to operate on both short (<xref ref-type="bibr" rid="B13">13</xref>) and long (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>) time scales. Observationally, non-restorative sleep has been found to be a strong independent predictor of new onset widespread pain (<xref ref-type="bibr" rid="B16">16</xref>), and experimental sleep deprivation and sleep fragmentation increases pain (<xref ref-type="bibr" rid="B17">17</xref>). There is a strong rationale for linking novel approaches to the intractable problem of chronic pain with sleep disturbance, given this close relationship.</p>
<p>Alpha entrainment is a neuromodulatory approach that has the potential to help people living with chronic pain. Entrainment is when an oscillating system becomes synchronised in phase to an external periodic force. Cortical electrical oscillations, or &#x201C;brainwaves&#x201D;, demonstrate this phenomenon in response to rhythmic stimuli, which can be sensory or direct electric or magnetic stimulation (<xref ref-type="bibr" rid="B18">18</xref>). Alpha entrainment refers to modulation of cortical activity in the alpha band (8&#x2013;12&#x2005;Hz). The overall role of the alpha rhythm has been proposed as providing inhibitory gating between brain regions (<xref ref-type="bibr" rid="B19">19</xref>), thereby re-routing resources and information to task-relevant areas. It is involved in pain expectation (<xref ref-type="bibr" rid="B20">20</xref>), attention to pain (<xref ref-type="bibr" rid="B21">21</xref>) and expectation of pain relief (<xref ref-type="bibr" rid="B22">22</xref>) and therefore provides a promising avenue for novel treatments, considering its entrainment is technologically achievable through non-invasive sensory stimulation. Alpha entrainment has been found to reduce experimental laser-induced pain in healthy participants (<xref ref-type="bibr" rid="B23">23</xref>) including with the electrophysiological correlate of reduced amplitude of the laser evoked potential (<xref ref-type="bibr" rid="B24">24</xref>). In laboratory studies with individuals with chronic musculoskeletal pain, 4&#x2005;min of 10&#x2005;Hz sensory stimulation has been shown to successfully entrain alpha and decrease pain (<xref ref-type="bibr" rid="B25">25</xref>) and the degree of frontal alpha power increase is found to correlate with the reduction in pain (moderate strength correlation, Pearson <italic>r</italic> 0.33 for pain intensity, 0.40 for pain unpleasantness) (<xref ref-type="bibr" rid="B26">26</xref>). To our knowledge alpha entrainment has not previously been used pre-sleep in those with chronic pain, but other forms of non-invasive brainwave entrainment have been investigated for use at night in the home environment in this group. Audio-visual stimulation decreasing in frequency from 8 to 2&#x2005;Hz was used by participants with chronic pain and insomnia aiming to aid sleep onset. It was shown that entrainment to the stimuli (in this case delta power) was successful (<xref ref-type="bibr" rid="B27">27</xref>), and in both younger (<xref ref-type="bibr" rid="B28">28</xref>) and older (<xref ref-type="bibr" rid="B29">29</xref>) participants who had chronic pain and insomnia improvements were seen in both symptoms. In a pilot randomised controlled trial, adherence to the intervention was 99&#x0025; and participants found it easy to use (<xref ref-type="bibr" rid="B30">30</xref>), indicating that the concept of audio-visual stimulation at night may be acceptable in this population. Outside of chronic pain, alpha entrainment has been used by healthy participants as one part of a stimulation programme aiming to optimise sleep quality (<xref ref-type="bibr" rid="B31">31</xref>). In this pilot trial, the first quarter of a 90&#x2005;min sensory stimulation programme used 8&#x2005;Hz (lower range of the alpha frequency) stimulation, and subsequently lower frequencies, and found improvements in participant reported sleep quality. Alpha entrainment therefore holds promise for the treatment of the closely linked problems of chronic pain and sleep disturbance. We designed a smartphone application called home-based Brainwave Entrainment Technology (hBET) to deliver 10&#x2005;Hz alpha stimulation. This is the first time this modality has been used pre-sleep by those with chronic pain.</p>
<p>The aim of this study is to explore the feasibility of pre-sleep use of hBET with individuals with chronic pain and sleep disturbance and give an indication of the effect of the treatment.</p>
</sec>
<sec id="s2"><label>2.</label><title>Materials and methods</title>
<p>This was an uncontrolled feasibility study, comparing pre- and post-intervention measures. There was no randomisation and participants were not blinded to the intervention received. Participants were 28 individuals living with chronic pain and sleep disturbance, recruited from NHS clinics dealing with chronic pain in two regions in the north of England (Leeds and Manchester) and <italic>via</italic> online publicity materials. Inclusion criteria were: age 18&#x2013;80, non-cancer pain of over 3 months&#x0027; duration including nocturnal pain of at least 4/10 (on 0&#x2013;10 NRS), and self-reported sleep dif&#xFB01;culties (defined as trouble falling asleep, dif&#xFB01;culty staying asleep, waking up too early, or waking up unrefreshed on 3 or more nights per week during the past month). Individuals were excluded from participating if they had: any seizure disorder, photosensitivity, planned pain intervention during the study period, hearing and vision problems causing inability to use the stimulation, or inability to consent.</p>
<sec id="s2a"><label>2.1.</label><title>Intervention</title>
<p>The hBET programme is a smartphone application specifically developed by the Human Pain Research Group (<xref ref-type="bibr" rid="B32">32</xref>) (a collaboration between researchers at the Universities of Manchester, Leeds and Liverpool, UK) to provide repetitive stimulation at 10&#x2005;Hz by either visual or auditory modalities for investigation of the treatment of chronic pain. Development of the application (<xref ref-type="bibr" rid="B33">33</xref>) and user co-design (<xref ref-type="bibr" rid="B34">34</xref>) have been reported. The 10&#x2005;Hz frequency was chosen as it is at the centre of the alpha band, and was found to more effectively reduce experimental pain than high (12&#x2005;Hz) or low (8&#x2005;Hz) alpha (<xref ref-type="bibr" rid="B23">23</xref>). This is an example of open-loop stimulation, as the programme feeds in 10&#x2005;Hz stimulation with no reference to participants&#x0027; online brainwave state or individualised peak alpha (<xref ref-type="bibr" rid="B35">35</xref>). The visual programme uses the smartphone screen to create 10&#x2005;Hz visual flicker by alternating between white and black screen at this frequency. A virtual reality headset is used to hold the phone in front of participants&#x0027; eyes and exclude external light sources. Participants have their eyes closed during the stimulation. The screen brightness is pre-set at mid-range, but is under participants&#x0027; control. The auditory programme utilises binaural beats to create 10&#x2005;Hz stimulation since a 10&#x2005;Hz tone is below the range of human hearing. A binaural beat is produced when different tones are presented to each ear, with the binaural beat frequency being the difference between the two tones (<xref ref-type="bibr" rid="B36">36</xref>). Tones at 400&#x2005;Hz and 410&#x2005;Hz are used in hBET as this range has been shown to produce the binaural beat effect most strongly (<xref ref-type="bibr" rid="B37">37</xref>). It is therefore necessary that headphones are used rather than an external speaker. For increased comfort in a lying position, participants are provided with a sleep headband with integrated headphones [model PT28, Perytong, Shenzhen, China]. The volume of auditory stimulation is under participants&#x0027; control. The equipment participants used in the study is shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Equipment used; sleep headband with integrated wireless headphones, headset to hold phone for visual stimulation mode, smartphone with hBET app loaded, motionwatch 8 actigraph watch.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fpain-04-1096084-g001.tif"/>
</fig>
</sec>
<sec id="s2b"><label>2.2.</label><title>Procedures</title>
<p>Remote processes were used due to the Covid-19 pandemic. Participants were familiarised with the study equipment, sleep and pain diary and questionnaire schedule <italic>via</italic> an online videoconference meeting. There was a one-week baseline period followed by a four-week intervention period, during which time participants were asked to use hBET each evening. It was advised to be used immediately pre-sleep, when the participant was settled in bed and ready to try to get to sleep. The stimulation ceases after 30&#x2005;min but could be restarted if desired. Participants had the choice to use the audio or visual option on any night, which allowed for the range of user preferences found on previous studies (<xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s2c"><label>2.3.</label><title>Measures</title>
<p>Demographic information and past medical history including pain diagnosis and medication use was collected from participants&#x0027; own reports using a paper questionnaire at baseline. Diagnoses were not extracted from medical records or reconfirmed by the study team.</p>
<p>A pain and sleep diary was completed each morning. This incorporated 0&#x2013;10 numerical rating scale (NRS) for average pain over the last 24&#x2005;h and average pain last night, and sleep timing used wording conforming to the consensus sleep diary (<xref ref-type="bibr" rid="B38">38</xref>). Sleep parameters calculated as follows: total sleep time is the time between trying to fall asleep to final awakening, minus the sleep latency and the total time awake after sleep onset; sleep efficiency is total sleep time divided by duration of the sleep episode, which is the time from starting to try to sleep to getting out of bed, (presented as a percentage). Sleep onset latency and Wake after sleep onset do not require calculations and are addressed directly on the sleep diary. In addition, in the diary participants rated the quality of their sleep and how refreshed they felt in the morning on a 0&#x2013;5 NRS. Nightly actigraphy was also used to monitor sleep using Motionwatch 8 [CamNtech Ltd, Cambridge, UK]. Standardised questionnaires were the Brief Pain Inventory (<xref ref-type="bibr" rid="B39">39</xref>) completed weekly, the Pittsburgh Sleep Quality Index (<xref ref-type="bibr" rid="B40">40</xref>), Multidimensional Fatigue Inventory (<xref ref-type="bibr" rid="B41">41</xref>), Hospital Anxiety and Depression Scale (<xref ref-type="bibr" rid="B42">42</xref>), and five level EQ-5D (<xref ref-type="bibr" rid="B43">43</xref>), all completed at baseline and study completion. Qualitative data on acceptability and user experience were also gathered through semi-structured interviews with each participant at the completion of the study. These are presented elsewhere. A summary of the study flow and outcome measures schedule is provided in <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Study flow and assessment schedule.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fpain-04-1096084-g002.tif"/>
</fig>
</sec>
<sec id="s2d"><label>2.4.</label><title>Analysis</title>
<p>Data from questionnaires were scored using standardised methods for each measure. Sleep and pain diaries were converted to digital format (Microsoft Excel 2016) for the calculation of sleep parameters as described above.</p>
<p>Data from Motionwatches were downloaded and processed using the bespoke software Motionware (version 1.2.28, CamNtech, Cambridge, UK). Sleep periods for each night of data were marked up according to the watch marker button presses, which participants were instructed to press at the beginning and end of each sleep episode. Where these were absent the period was marked up manually based on triangulation of the actigraphy data and the sleep diary. In most cases the participant had omitted to press the marker button upon waking, and the end of the sleep episode could be reliably judged from the watch being taken off and this corresponding to the diary report of final rise time. When the sleep period could not confidently be marked up the data for that night were not included.</p>
<p>To explore the impact of the intervention, pre- and post- measures were compared on a within-participant basis, using the baseline week compared to periods when hBET was used. Following the baseline week, participants had the choice each night whether to use Audio or Visual hBET. Since each option is a strategy to achieve the same effect of alpha entrainment, the primary analysis considers hBET as one intervention irrespective of modality. This allows an element of personalisation in the intervention to account for individual preference and improve the likelihood of engagement. Disaggregated results for Audio and Visual are presented as <xref ref-type="sec" rid="s10">Supplementary Material</xref>. Data from each condition (visual and audio) were included in the analysis if the participant used the condition for at least 5 nights, to account for periods where participants trialled a modality but had a strong user preference for the other modality.</p>
<p>Statistical analyses were conducted using paired <italic>t</italic>-tests or Wilcoxon sign rank tests for data which were non-normally distributed. Effect sizes were calculated with Cohen&#x0027;s <italic>d</italic> or, in the case of non-normally distributed data, the effect size r was calculated by dividing the Z-statistic from the Wilcoxon sign rank test by the square root of the sample size. Cohen&#x0027;s <italic>d</italic> was considered small if 0.2&#x2013;0.5, medium if 0.5&#x2013;0.8, and large if &#x003E;0.8. Effect size r was considered small if 0.1&#x2013;0.3, moderate if 0.3&#x2013;0.5, large if &#x003E;0.5 (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Ethical and regulatory approval for the study was granted by the Health Research Authority and NHS Research Ethics Committee reference 19/YH/0313 and procedures followed were in accordance with the Helsinki Declaration. The study was pre-registered at ClinicalTrials.gov with the ID NCT04176861.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<p>Twenty eight individuals (22 female, 6 male) participated and their demographic and background data are shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Participant background and demographics (<italic>n</italic>&#x2009;&#x003D;&#x2009;28).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<tbody>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">22 (79&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Age in years (mean, SD)</td>
<td valign="top" align="center">45 (12)</td>
</tr>
<tr>
<td valign="top" align="left">Employment status</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unemployed</td>
<td valign="top" align="center">15 (54&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Full time work</td>
<td valign="top" align="center">6 (21&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Part time work</td>
<td valign="top" align="center">3 (11&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Retired</td>
<td valign="top" align="center">4 (14&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration of pain in years (median, range)</td>
<td valign="top" align="center">9 (1.2&#x2013;40)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration of sleep problems in years (median, range)</td>
<td valign="top" align="center">8 (1.2&#x2013;30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age in years at pain onset (median, range)</td>
<td valign="top" align="center">33 (13&#x2013;69)</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis (reported by participant)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Fibromyalgia/chronic widespread pain syndrome</td>
<td valign="top" align="center">26 (93&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Osteoarthritis</td>
<td valign="top" align="center">8 (29&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chronic low back pain</td>
<td valign="top" align="center">4 (14&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chronic fatigue syndrome</td>
<td valign="top" align="center">4 (14&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Migraine/cluster headaches</td>
<td valign="top" align="center">2 (7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Trigeminal neuralgia</td>
<td valign="top" align="center">1 (4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Complex regional pain syndrome</td>
<td valign="top" align="center">1 (4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Medication use</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Number of pain medications (median, range)</td>
<td valign="top" align="center">2 (0&#x2013;5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Opioid</td>
<td valign="top" align="center">16 (57&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Gabapentinoid</td>
<td valign="top" align="center">14 (50&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Paracetamol</td>
<td valign="top" align="center">14 (50&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-steroidal anti-inflammatory</td>
<td valign="top" align="center">7 (25&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Tricyclic antidepressant</td>
<td valign="top" align="center">6 (21&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serotonin and noradrenaline reuptake inhibitor</td>
<td valign="top" align="center">4 (14&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Benzodiazepine</td>
<td valign="top" align="center">3 (11&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Triptan</td>
<td valign="top" align="center">2 (7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other</td>
<td valign="top" align="center">2 (7&#x0025;)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To inform the feasibility assessment, data completeness and attrition are displayed in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Data completeness and sources of attrition.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fpain-04-1096084-g003.tif"/>
</fig>
<p>Overall, participants chose to use Audio hBET on 458 nights and Visual hBET on 187 nights. This gives an adherence rate of 92&#x0025; in participants for whom diary records were available (hBET used on 645 of 700 available nights). Five participants tried Visual hBET for fewer than 5 nights before choosing to discontinue it and return to Audio. These quickly aborted periods of Visual use are not included in the analysis, leaving 175 nights of Visual hBET use.</p>
<sec id="s3a"><label>3.1.</label><title>Sleep and pain diaries</title>
<p>Sleep and pain diary data for hBET use periods compared to baseline periods are shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. There was a small improvement in average pain scores both at night and over 24&#x2005;h, as reported on the 0&#x2013;10 numerical rating scale (NRS), and this difference was statistically significant but small in magnitude when averaged over all participants (effect size small; 0.47 and 0.41 respectively). Larger effect sizes were seen in the improvements in total sleep time and sleep efficiency (medium effect size; 0.67 and 0.78 respectively). Ratings given each morning on the quality of sleep did not improve but ratings of how refreshed participants felt did improve from a median of 2 to 2.75 on a 0&#x2013;5 NRS.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Sleep diary results.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">Mean (SD) at baseline (175 nights)</th>
<th valign="top" align="center">Mean (SD) in hBET condition (633 nights)</th>
<th valign="top" align="center">Change (hBET compared to baseline)</th>
<th valign="top" align="center"><italic>p</italic>-value for paired difference<xref ref-type="table-fn" rid="table-fn1"><sup>a</sup></xref> between hBET and baseline</th>
<th valign="top" align="center">Effect size</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Average pain over 24&#x2005;h (0&#x2013;10 NRS)</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">6.4 (1.9)</td>
<td valign="top" align="center">6.1 (1.8)</td>
<td valign="top" align="center">&#x2212;0.3 (0.7)</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>0499</bold></td>
<td valign="top" align="center">0.41<xref ref-type="table-fn" rid="table-fn2"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Average pain at night (0&#x2013;10 NRS)</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">5.9 (2.0)</td>
<td valign="top" align="center">5.4 (2.1)</td>
<td valign="top" align="center">&#x2212;0.5 (1.1)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0265</bold></td>
<td valign="top" align="center">0.47<xref ref-type="table-fn" rid="table-fn2"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"><bold>Mean (SD) at Baseline (168 nights)</bold></td>
<td valign="top" align="center"><bold>Mean (SD) in hBET condition (610 nights)</bold></td>
<td valign="top" align="center"><bold>Change [mean (SD)]</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sleep Onset Latency (mins)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">51.0 (38.8)</td>
<td valign="top" align="center">38.4 (26.3)</td>
<td valign="top" align="center">&#x2212;12.6 (23.7)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0043</bold></td>
<td valign="top" align="center">0.58<xref ref-type="table-fn" rid="table-fn3"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Wake After Sleep Onset (mins)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">36.8 (32.6)</td>
<td valign="top" align="center">27.4 (26.7)</td>
<td valign="top" align="center">&#x2212;9.0 (19.3)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0333</bold></td>
<td valign="top" align="center">0.43<xref ref-type="table-fn" rid="table-fn3"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Total Sleep Time (mins)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">389.7 (80.4)</td>
<td valign="top" align="center">419.1 (78.8)</td>
<td valign="top" align="center">29.4 (43.9)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0033</bold></td>
<td valign="top" align="center">0.67<xref ref-type="table-fn" rid="table-fn2"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Sleep efficiency (&#x0025;)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">74.6 (11.1)</td>
<td valign="top" align="center">79.3 (11.1)</td>
<td valign="top" align="center">4.7 (6.1)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0009</bold></td>
<td valign="top" align="center">0.78<xref ref-type="table-fn" rid="table-fn2"><sup>b</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"><bold>Median (IQR) at Baseline</bold></td>
<td valign="top" align="center"><bold>Median (IQR) in hBET condition</bold></td>
<td valign="top" align="center"><bold>Change [median (IQR)]</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
<td valign="top" align="center"><bold>&#x00A0;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Median number of awakenings</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">3 (2)</td>
<td valign="top" align="center">2 (1)</td>
<td valign="top" align="center">&#x2212;1 (1)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0074</bold></td>
<td valign="top" align="center">0.55<xref ref-type="table-fn" rid="table-fn3"><sup>c</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Median quality rating (0&#x2013;5 scale)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">3 (1)</td>
<td valign="top" align="center">3 (1)</td>
<td valign="top" align="center">0 (0.125)</td>
<td valign="top" align="center">0.4063</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median refreshed rating (0&#x2013;5 scale)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2 (1)</td>
<td valign="top" align="center">2.75 (1)</td>
<td valign="top" align="center">1 (1)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0004</bold></td>
<td valign="top" align="center">0.72<xref ref-type="table-fn" rid="table-fn3"><sup>c</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label><sup>a</sup></label>
<p>Paired <italic>t</italic>-test for continuous and normally distributed variables, Wilcoxon sign rank test for non-continuous or non-normally distributed variables.</p></fn>
<fn id="table-fn2"><label><sup>b</sup></label>
<p>Cohen&#x0027;s <italic>d</italic> for <italic>t</italic>-tests.</p></fn>
<fn id="table-fn3"><label><sup>c</sup></label>
<p>r for Wilcoxon sign rank tests.</p></fn>
<fn id="table-fn14"><p>Bold values indicates <italic>P</italic>&#x003C;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2.</label><title>Actigraphy</title>
<p>No significant difference in sleep was seen with hBET compared to baseline when measured with actigraphy, as shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. Actigraphy results diverged from sleep diary results, particularly in Sleep Onset Latency, which was on average reported to be 28&#x2005;min higher in diaries than estimated by actigraphy, and in Wake After Sleep Onset, which was reported to be 35&#x2005;min lower in diaries than estimated by actigraphy.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Actigraphy results (n&#x2009;&#x003D;&#x2009;24).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Mean (SD) at Baseline (165 nights)</th>
<th valign="top" align="center">Mean (SD) in hBET condition (538 nights)</th>
<th valign="top" align="center">Change (hBET compared to baseline)</th>
<th valign="top" align="center"><italic>p</italic> value for paired difference<xref ref-type="table-fn" rid="table-fn4"><sup>a</sup></xref> between hBET and baseline</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sleep Onset Latency (mins)</td>
<td valign="top" align="center">20.2 (27.8)</td>
<td valign="top" align="center">18.9 (25.6)</td>
<td valign="top" align="center">&#x2212;1.3 (12.9)</td>
<td valign="top" align="center">0.9317</td>
</tr>
<tr>
<td valign="top" align="left">Wake After Sleep Onset (mins)</td>
<td valign="top" align="center">67.8 (44.0)</td>
<td valign="top" align="center">63.7 (32.4)</td>
<td valign="top" align="center">&#x2212;4.0 (18.0)</td>
<td valign="top" align="center">0.2831</td>
</tr>
<tr>
<td valign="top" align="left">Total Sleep Time (mins)</td>
<td valign="top" align="center">398.8 (85.6)</td>
<td valign="top" align="center">402.0 (83.5)</td>
<td valign="top" align="center">3.1 (38.3)</td>
<td valign="top" align="center">0.6926</td>
</tr>
<tr>
<td valign="top" align="left">Sleep efficiency (&#x0025;)</td>
<td valign="top" align="center">81.2 (10.6)</td>
<td valign="top" align="center">82.2 (10.5)</td>
<td valign="top" align="center">1.0 (3.5)</td>
<td valign="top" align="center">0.3914</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><label><sup>a</sup></label>
<p>Paired <italic>t</italic>-test for continuous and normally distributed variables, Wilcoxon sign rank test for non-continuous or non-normally distributed variables.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3.</label><title>Questionnaires</title>
<p>Standardised questionnaires conducted at baseline and completion demonstrate improvements in sleep quality, fatigue, mood and pain interference, as shown in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>. In addition, the Brief Pain Inventory has a specific question on the extent to which pain is felt to interfere with sleep, scored from 0 (does not interfere) to 10 (completely interferes). The median response fell from 7.8 at baseline to 6.8 at the end of the study (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.004) and is of particular interest given the hypothesised mechanism of action of the intervention. (Note that this is distinct from the overall Pain Interference score, reported in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Questionnaire data (n&#x2009;&#x003D;&#x2009;26).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Baseline median (IQR)</th>
<th valign="top" align="center">Completion<xref ref-type="table-fn" rid="table-fn6"><sup>a</sup></xref> median (IQR)</th>
<th valign="top" align="center"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn7"><sup>b</sup></xref></th>
<th valign="top" align="center">Effect size (r)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Global PSQI</td>
<td valign="top" align="center">16 (4.5)</td>
<td valign="top" align="center">12.5 (8.25)</td>
<td valign="top" align="center"><bold>0</bold><bold>.</bold><bold>0016</bold></td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">MFI Total</td>
<td valign="top" align="center">82.5 (19.75)</td>
<td valign="top" align="center">77 (15.75)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0089</bold></td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">HADS Depression</td>
<td valign="top" align="center">12 (5.25)</td>
<td valign="top" align="center">10.5 (6.25)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0095</bold></td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">HADS Anxiety</td>
<td valign="top" align="center">13.5 (7.5)</td>
<td valign="top" align="center">11 (6.5)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>0107</bold></td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">BPI Pain Severity</td>
<td valign="top" align="center">6.3 (2.6)</td>
<td valign="top" align="center">6.0 (2.8)</td>
<td valign="top" align="center">0.2711</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BPI Pain Interference</td>
<td valign="top" align="center">7.5 (3.3)</td>
<td valign="top" align="center">6.8 (3.1)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>004</bold></td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">EQ-5D-5L index value</td>
<td valign="top" align="center">0.27 (0.41)</td>
<td valign="top" align="center">0.32 (0.48)</td>
<td valign="top" align="center">0.1711</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>PSQI, pittsburgh sleep quality index; MFI, multidimensional fatigue inventory; HADS, hospital anxiety and depression scale, BPI, brief pain inventory; EQ-5D-5L, the 5 level EuroQol score.</p></fn>
<fn id="table-fn6"><label><sup>a</sup></label>
<p>In the case of BPI, this includes measures taken during hBET use, as well as on completion.</p></fn>
<fn id="table-fn7"><label><sup>b</sup></label>
<p>Wilcoxon sign rank test.</p></fn>
<fn id="table-fn13"><p>Bold values indicates <italic>P</italic>&#x003C;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><label>3.4.</label><title>Responder analysis</title>
<p>An exploratory post-hoc responder analysis was conducted based on whether participants reported an improvement in the Brief Pain Inventory pain interference score by at least 1 point, which has been suggested as the minimal clinically important change (<xref ref-type="bibr" rid="B45">45</xref>). Partial response was defined as an improvement less than 1 point, and non-response being no change or worsening. This measure was selected on the basis of the hypothesis that hBET exerts is effect by improving pain and sleep, and consequently the overall impact and intrusiveness of this cluster of related symptoms, better captured in this compound metric than in a single item NRS such as pain severity. This is supported by users&#x0027; descriptions of how sleep and pain interact, which involves mood and activity levels (expanded on in qualitative findings from this study, published elsewhere), which grounds this choice in the experience of users. The aim of this analysis was to explore the utility of this approach, rather than to make conclusions on treatment effect. &#x201C;Responders&#x201D;, as defined in this way, tended to have better improvements across the range of self-reported symptom areas and actigraphy, as summarised in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>.</p>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Responder analysis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">All hBET</th>
<th valign="top" align="center">Responders <italic>n</italic>&#x2009;&#x003D;&#x2009;9</th>
<th valign="top" align="center">Partial responders <italic>n</italic>&#x2009;&#x003D;&#x2009;9</th>
<th valign="top" align="center">Non-responders <italic>n</italic>&#x2009;&#x003D;&#x2009;7</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Pain diary &#x2013; mean (SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in average pain over 24&#x2005;h (0&#x2013;10 NRS)</td>
<td valign="top" align="center">&#x2212;0.3 (0.7)</td>
<td valign="top" align="center">&#x2212;<bold>0.5 (0.8)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.2</bold> (<bold>0.7)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.1</bold> (<bold>0.6)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in average pain at night (0&#x2013;10 NRS)</td>
<td valign="top" align="center">&#x2212;0.5 (1.1)</td>
<td valign="top" align="center">&#x2212;<bold>0.9</bold> (<bold>1.2)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.4</bold> (<bold>1.2)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.1</bold> (<bold>0.5)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sleep Diary &#x2013; mean (SD)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change SOL (mins)</td>
<td valign="top" align="center">&#x2212;12.6 (23.7)</td>
<td valign="top" align="center">&#x2212;8.9 (12.3)</td>
<td valign="top" align="center">&#x2212;14.6 (33.4)</td>
<td valign="top" align="center">&#x2212;14.3 (21.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in mean WASO (mins)</td>
<td valign="top" align="center">&#x2212;9.0 (19.3)</td>
<td valign="top" align="center">&#x2212;<bold>18.6</bold> (<bold>23.1)</bold></td>
<td valign="top" align="center">&#x2212;2.3 (18.3)</td>
<td valign="top" align="center">&#x2212;6.7 (12.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in mean TST (mins)</td>
<td valign="top" align="center">29.4 (43.9)</td>
<td valign="top" align="center">21.5 (21.7)</td>
<td valign="top" align="center">34.0 (59.3)</td>
<td valign="top" align="center">32.5 (44.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in sleep efficiency (&#x0025;)</td>
<td valign="top" align="center">4.7 (6.1)</td>
<td valign="top" align="center"><bold>5.3</bold> (<bold>6.6)</bold></td>
<td valign="top" align="center"><bold>5.0</bold> (<bold>7.4)</bold></td>
<td valign="top" align="center"><bold>3.8</bold> (<bold>4.1)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median quality rating (0&#x2013;5 scale)</td>
<td valign="top" align="center">0 (0.125)</td>
<td valign="top" align="center">0.3 (0.4)</td>
<td valign="top" align="center">0.4 (0.5)</td>
<td valign="top" align="center">&#x2212;0.4 (0.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median refreshed rating (0&#x2013;5 scale)</td>
<td valign="top" align="center">1 (1)</td>
<td valign="top" align="center"><bold>1.1</bold> (<bold>0.2)</bold></td>
<td valign="top" align="center"><bold>0.8</bold> (<bold>0.7)</bold></td>
<td valign="top" align="center"><bold>0.4</bold> (<bold>0.9)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Number of awakenings</td>
<td valign="top" align="center">&#x2212;1 (1)</td>
<td valign="top" align="center">&#x2212;<bold>1.3</bold> (<bold>1.0)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.8</bold> (<bold>1.7)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.3</bold> (<bold>1.0)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in &#x0025; nights with quality rated 3&#x002B;</td>
<td valign="top" align="center">8.7 (31.5)</td>
<td valign="top" align="center"><bold>17.3</bold> (<bold>22.6)</bold></td>
<td valign="top" align="center"><bold>10.5</bold> (<bold>25.5)</bold></td>
<td valign="top" align="center">&#x2212;<bold>9.6</bold> (<bold>28.9)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in &#x0025; mornings with refreshed rated 3&#x002B;</td>
<td valign="top" align="center">19.6 (26.2)</td>
<td valign="top" align="center"><bold>34.0</bold><xref ref-type="table-fn" rid="table-fn10">&#x002A;</xref> (<bold>18.8)</bold></td>
<td valign="top" align="center"><bold>14.7</bold> (<bold>18.0)</bold></td>
<td valign="top" align="center"><bold>9.5</bold> (<bold>15.8)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Actigraphy - mean (SD)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in mean SOL (mins)</td>
<td valign="top" align="center">&#x2212;1.3 (12.9)</td>
<td valign="top" align="center">&#x2212;<bold>5.0</bold> (<bold>17.1)</bold></td>
<td valign="top" align="center">&#x2212;<bold>2.2</bold> (<bold>10.6)</bold></td>
<td valign="top" align="center"><bold>2.0</bold> (<bold>10.4)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in mean WASO (mins)</td>
<td valign="top" align="center">&#x2212;4.0 (18.0)</td>
<td valign="top" align="center">&#x2212;<bold>10.1</bold> (<bold>25.2)</bold></td>
<td valign="top" align="center">&#x2212;0.1 (9.7)</td>
<td valign="top" align="center">&#x2212;5.2 (14.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in mean TST (mins)</td>
<td valign="top" align="center">3.1 (38.3)</td>
<td valign="top" align="center">&#x2212;3.2 (35.9)</td>
<td valign="top" align="center">9.7 (32.8)</td>
<td valign="top" align="center">&#x2212;7.0 (43.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in sleep efficiency (&#x0025;)</td>
<td valign="top" align="center">1.0 (3.5)</td>
<td valign="top" align="center"><bold>2.2</bold> (<bold>3.1)</bold></td>
<td valign="top" align="center"><bold>1.2</bold> (<bold>3.5)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.5</bold> (<bold>4.2)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Questionnaire data - median (IQR)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in Global PSQI score</td>
<td valign="top" align="center">&#x2212;1.5 (4.25)</td>
<td valign="top" align="center">&#x2212;<bold>3.0</bold><xref ref-type="table-fn" rid="table-fn11">&#x002A;&#x002A;</xref> (<bold>6.0)</bold></td>
<td valign="top" align="center">0.0 (4.0)</td>
<td valign="top" align="center">&#x2212;1.0 (2.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in MFI Total score</td>
<td valign="top" align="center">&#x2212;3.5 (9.0)</td>
<td valign="top" align="center">&#x2212;<bold>7.0</bold> (<bold>3.0)</bold></td>
<td valign="top" align="center">&#x2212;<bold>2.0</bold> (<bold>13.0)</bold></td>
<td valign="top" align="center"><bold>2.0</bold> (<bold>3.0)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in HADS Depression score</td>
<td valign="top" align="center">&#x2212;1 (4)</td>
<td valign="top" align="center">&#x2212;1 (2.5)</td>
<td valign="top" align="center">0 (5)</td>
<td valign="top" align="center">&#x2212;1 (4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in HADS Anxiety score</td>
<td valign="top" align="center">&#x2212;1 (3.25)</td>
<td valign="top" align="center">&#x2212;1 (4)</td>
<td valign="top" align="center">&#x2212;1 (3.5)</td>
<td valign="top" align="center">&#x2212;2 (4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in BPI Pain Interference with sleep</td>
<td valign="top" align="center">&#x2212;0.8 (2.3)</td>
<td valign="top" align="center">&#x2212;<bold>2.5</bold><xref ref-type="table-fn" rid="table-fn11">&#x002A;&#x002A;</xref> (<bold>1.9)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.3</bold> (<bold>1.3)</bold></td>
<td valign="top" align="center"><bold>0.0</bold> (<bold>1.8)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in BPI Pain Severity</td>
<td valign="top" align="center">&#x2212;0.1 (1.5)</td>
<td valign="top" align="center">&#x2212;<bold>1.3</bold><xref ref-type="table-fn" rid="table-fn11">&#x002A;&#x002A;</xref> (<bold>1.6)</bold></td>
<td valign="top" align="center"><bold>0.0</bold> (<bold>0.5)</bold></td>
<td valign="top" align="center"><bold>0.5</bold> (<bold>0.3)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change in EQ-5D-5L index value</td>
<td valign="top" align="center">0.0 (0.3)</td>
<td valign="top" align="center"><bold>0.25</bold><xref ref-type="table-fn" rid="table-fn11">&#x002A;&#x002A;</xref> (<bold>0.35)</bold></td>
<td valign="top" align="center"><bold>0.0</bold> (<bold>0.22)</bold></td>
<td valign="top" align="center">&#x2212;<bold>0.01</bold> (<bold>0.11)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;<italic>Change in BPI Pain Interference</italic><xref ref-type="table-fn" rid="table-fn9"><sup>a</sup></xref></td>
<td valign="top" align="center">&#x2212;<italic>0.5</italic> (<italic>1.5)</italic></td>
<td valign="top" align="center">&#x2212;<italic>1.9</italic> (<italic>0.6)</italic></td>
<td valign="top" align="center">&#x2212;<italic>0.3</italic> (<italic>0.5)</italic></td>
<td valign="top" align="center"><italic>0.4</italic> (<italic>0.7)</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn8"><p>Responders are participants who reported an improvement in the Brief Pain Inventory pain interference score by at least 1 point, partial responders by less than 1 point, non-responders showed no change or worsening.</p></fn>
<fn id="table-fn9"><label><sup>a</sup></label>
<p>This is the variable by which the responder categories were defined.</p></fn>
<fn id="table-fn10"><label>&#x002A;</label>
<p>Responder group significantly different to other groups combined (independent samples <italic>T</italic> test, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
<fn id="table-fn11"><label>&#x002A;&#x002A;</label>
<p>Responder group significantly different to other groups combined (Mann&#x2013;Whitney <italic>U</italic>-test, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p></fn>
<fn id="table-fn12"><p>Bold values indicates other outcomes which improve most in responders.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Expanding on four selected variables of interest from <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>, <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref> shows the response categories trending with other outcomes, as boxplots to visualise the spread of data. Panels A and B show change in daily diary measures of pain, at night and over 24&#x2005;h respectively, during hBET use compared to baseline. Panel C shows greater improvements in sleep quality (measured with PSQI) in Responders (this group also being statistically significantly different to the other two groups) and boxplot D shows a trend for greater improvements in fatigue (measured with MFI) in Responders than in the other groups, although this was not statistically significant.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Boxplots showing selected outcomes by responder category. Responders are participants who reported an improvement in the brief pain inventory pain interference score by at least 1 point, partial responders by less than 1 point, non-responders showed no change or worsening. Arithmetic means represented by &#x201C;X&#x201D; in panels A and B, not included in the non-continuous variables. &#x002A;Statistically significant difference between responders and other categories in PSQI change (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.026).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fpain-04-1096084-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>Home-based, pre-sleep use of a smartphone programme for alpha entrainment by audio or visual stimulation was feasible for individuals with chronic pain and sleep disturbance. The findings are drawn from domiciliary use of hBET over 4 weeks, in a relatively unselected sample, which gives a level of ecological validity. This study represents the first application of alpha entrainment pre-sleep in those living with chronic pain and sleep disturbance, and the findings will inform the development of further trials in this area.</p>
<p>The hypothesised mechanism of action of hBET is a positive effect on both night time pain and improved sleep, subsequently leading to improved day time pain and related symptoms. Whilst it is well established that pain and sleep interact with each other, the purported inhibitory gating role of alpha could reasonably be expected to modulate both pain perception and sleep onset discretely, but the independent relevance of each in this population requires further study. Caution is needed in the interpretation of the changes in symptoms reported in this uncontrolled study, and conclusions about efficacy cannot be drawn. However, the experiences of users and pattern of response can usefully inform hypothesis generation and the design of future research. There is an indication that the improvements in patient-reported measures of sleep may be of larger magnitude or more readily observed than those of pain. Whilst the BPI pain severity score, which is derived entirely from 0 to 10 NRS pain ratings, did not improve across the whole group, the BPI pain interference score, which takes into account the impact of pain on various activities and functions, did improve. This may reflect different responsiveness of these measures over relatively short time periods in established chronic pain, or reflect the mechanism of action of this neuromodulatory intervention, and is not fully explained by this study. It is also notable that even the improved scores across many domains still remain above clinical thresholds, such as sleep efficiency (remains below 80&#x0025;), sleep onset latency (remains over 30&#x2005;min), anxiety and depression scores [remain over the &#x201C;case&#x201D; threshold of 8 (<xref ref-type="bibr" rid="B46">46</xref>)] and PSQI scores [remain markedly over the threshold of 6 indicating &#x201C;poor sleepers&#x201D;(<xref ref-type="bibr" rid="B40">40</xref>)]. The responder analysis is exploratory, and does not offer conclusions on effect, but adds weight to the notion that sleep and pain symptomology are acting together, and is consistent with the hypothesised mechanism that targeting both may lead to positively reinforcing benefits to daytime symptoms. It provides a possible approach to pre-specified response definition in future studies.</p>
<p>In this study, diary-reported measures of sleep onset, time and continuity improved whereas actigraphy assessed sleep measures were unchanged. Discrepancy between actigraphy and sleep diary, particularly in chronic pain, has been reported many times and given different interpretations. Systematic review and meta-analysis comparing methods of sleep assessment in chronic pain patients finds the most consistent discrepancy is that actigraphy gives lower estimates of Sleep Onset Latency than diary report, (by 23&#x2005;min in meta-analysis) (<xref ref-type="bibr" rid="B47">47</xref>). This was the case in the current study, with overall 28&#x2005;min difference found. This has often been referred to as sleep misperception, with the inference that actigraphy provides a superior &#x201C;objective&#x201D; measure. Noting that daytime experience plays a large part in how people with chronic pain judge their sleep (<xref ref-type="bibr" rid="B48">48</xref>) one interpretation is that sleep diary and actigraphy are measuring different constructs. However, it is also possible that actigraphy may be less accurate in this group. Studies using polysomnography have contested the idea that sleep complaints in fibromyalgia are due to sleep misperception (<xref ref-type="bibr" rid="B49">49</xref>) and when systematically reviewed, actigraphy is found to overestimate total sleep time and underestimates sleep onset latency and wake after sleep onset time, compared to polysomnography, in adults with chronic conditions (<xref ref-type="bibr" rid="B50">50</xref>). Future studies incorporating electroencephalographic (EEG) monitoring would provide the multiple benefits of more accurate and detailed sleep determination and staging, insight to the validity of actigraphy in this population and direct evaluation of the alpha entrainment effect of this intervention. It is also possible that EEG monitoring could optimise the intervention, either through personalisation to the individual peak alpha, or by using closed-loop stimulation.</p>
<p>Limitations of this study mean it is not possible to conclude that the observed improvements result only from the intervention, as this is an uncontrolled, open-label feasibility study, not designed to determine efficacy. The limitations include the possibility of bias resulting from participant or researcher enthusiasm for the open-label intervention, placebo and secular (time) effects. Participants were aware of the aim of the study and that they were trialling a novel approach to chronic pain which may have appealed and promoted a placebo effect, which is not controlled for. This was mitigated against with transparency from the researchers and study documentation that the effectiveness of the intervention is as yet unknown. A passive effect due to time, such as regression to the mean, is unlikely as the participants had very longstanding symptoms of median 9 years and were not recruited in a way which would enrich the sample with those experiencing acute &#x201C;flares&#x201D; of symptoms. Bias in participant reported outcomes was mitigated against by encouraging honest responses. Diary entries may be less susceptible to this bias, being completed iteratively day after day, and it is notable that the findings from diary entries agree with those from baseline and completion questionnaires, although they are generally of smaller effect size. Gender and age were not controlled for at this feasibility stage, but are likely to be relevant covariates in the effect on symptoms, which should be accounted for in future study design. Finally, the study only considers a relatively short time period of four weeks of intervention use, with no longer term follow up. This leaves open the possibility of either a novelty effect exaggerating the benefits, or a more incremental effect being missed due to the short duration of this study. Anecdotal clinical observations tend to suggest that sleep improvements precede improvements in pain, which would require longer a study duration to capture.</p>
<p>In conclusion, hBET appears to be a feasible intervention for the home setting and evaluation under controlled conditions of its clinical effect is warranted.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability"><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 id="s6"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by UK Health Research Authority and NHS Research Ethics Committee reference 19/YH/0313. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7"><title>Author contributions</title>
<p>SJH: wrote the study protocols, obtained ethical and other regulatory approvals, helped develop the intervention, recruited participants, collected data, performed data analysis and drafted the manuscript. AJC: led the development of intervention technology, contributed to devising the study, supervised the project and edited the manuscript. NKYT: contributed to study methodology and analysis techniques and edited the manuscript. AKPJ: conceptualised the study, supervised the project and edited the manuscript. RJO: supervised the project and edited the manuscript. MS: conceptualised the study, helped develop the intervention and methodology, supervised the project and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>A joint Rosetrees Trust/Royal College of Physicians Research Fellowship awarded to first author supported the completion of this study.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors thank Nikhil Kurian Jacob PhD for his work developing the hBET application.</p>
</ack>
<sec id="s9" sec-type="COI-statement"><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 id="s11" sec-type="disclaimer"><title>Publisher&#x0027;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 id="s10" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpain.2023.1096084/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpain.2023.1096084/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/></supplementary-material>
</sec>
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