Evidence map›Paper›PMID 40063935›Full record

ArticleJournal of medical Internet research2025

Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram Device: Longitudinal Study.

Chuanliang Han, Zhizhen Zhang, Yuchen Lin, Shaojia Huang, Jidong Mao, Weiwen Xiang, Fang Wang, Yuping Liang, Wufang Chen, Xixi Zhao

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Chuanliang Han *School of Biomedical Sciences and Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID https://orcid.org/0000-0002-5734-4790
Zhizhen Zhang *Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, United States.ORCID https://orcid.org/0009-0004-7856-7020
Yuchen Lin *Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0009-0008-8956-1934
Shaojia HuangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0000-8538-5007
Jidong MaoShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0000-0943-310X
Weiwen XiangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0004-9981-4086
Fang WangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0007-9153-7418
Yuping LiangShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0007-1337-5599
Wufang ChenShenzhen Shuimu AI Technology Co., Ltd, Shenzhen, China.ORCID https://orcid.org/0009-0009-3917-6146
Xixi ZhaoNational Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-1745-8184

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pursuit of sleep quality has become an important aspect of people's global quest for overall health. However, the objective neurobiological features corresponding to subjective perceptions of sleep quality remain poorly understood. Although previous studies have investigated the relationship between electroencephalogram (EEG) and sleep, the lack of longitudinal follow-up studies raises doubts about the reproducibility of their findings.

objectiveCurrently, there is a gap in research regarding the stable associations between EEG data and sleep quality assessed through multiple data collection sessions, which could help identify potential neurobiological targets related to sleep quality.

methodsIn this study, we used a portable EEG device to collect resting-state prefrontal cortex EEG data over a 3-month follow-up period from 42 participants (27 in the first month, 25 in the second month, and 40 in the third month). Each month, participants' sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) to estimate their recent sleep quality.

resultsWe found that there is a significant and consistent positive correlation between low α band activity in the prefrontal cortex and PSQI scores (r=0.45, P<.001). More importantly, this correlation remained consistent across all 3-month follow-up recordings (P<.05), regardless of whether we considered the same cohort or expanded the sample size. Furthermore, we discovered that the periodic component of the low α band primarily contributed to this significant association with PSQI.

conclusionsThese findings represent the first identification of a stable and reliable neurobiological target related to sleep quality through multiple follow-up sessions. Our results provide a solid foundation for future applications of portable EEG devices in monitoring sleep quality and screening for sleep disorders in a broad population.

Indexed as

Alpha RhythmElectroencephalographyPrefrontal CortexSleep QualityAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedYoung Adultalpha oscillationEEGelectroencephalogramportable deviceprefrontal cortexsleep

Identifiers

PMID40063935
PMCPMC11933759

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.