{"title":"Longitudinal changes in resting-state EEG eyes-closed/open delta differentiation during an Antarctic expedition.","authors":"Weiting Yang, Haoxin Tian, Guangming Xie, Ying Xu, Qinwen Wang, You Yin, Wuchao Liu, Yanyan Jiang","doi":"10.3389/fnins.2026.1944325","DOIUrl":null,"url":null,"abstract":"<p><p>Antarctic polar night brings extreme light deprivation, prolonged isolation and severe circadian disruption, yet longitudinal resting-state electroencephalography (EEG) signatures reflecting neurophysiological alterations in this harsh environment remain poorly characterized. In this exploratory longitudinal research, resting-state EEG recordings with eyes open (EO) and eyes closed (EC) were acquired from 16 Antarctic expeditioners at four mission stages: pre-departure, pre-polar-night, early post-polar-night, and austral summer. Linear mixed-effects models with false discovery rate correction were applied to analyze delta eyes-closed/open differentiation (the EC-EO delta log-power difference), delta sub-bands, aperiodic spectral features, entropy, EEG microstates and delta-band functional connectivity. The delta EC-EO difference exhibited consistent, progressively negative shifts in parietal, frontal, whole-brain and occipital regions across the expedition timeline, with the most pronounced shifts observed in recordings obtained during and after the polar-night period; this effect spanned all slow, mid and fast delta sub-bands. Secondary mild temporal variations were observed in aperiodic spectral metrics, occipital sample entropy and global delta connectivity, whereas EEG microstates displayed no significant longitudinal alterations. Collectively, the delta EC-EO difference emerges as a candidate EEG index of resting-state condition differentiation in the low-frequency range, pending validation in larger studies with synchronized behavioral, physiological, and environmental measures.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"20 ","pages":"1944325"},"PeriodicalIF":4.0000,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13672630/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fnins.2026.1944325","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Antarctic polar night brings extreme light deprivation, prolonged isolation and severe circadian disruption, yet longitudinal resting-state electroencephalography (EEG) signatures reflecting neurophysiological alterations in this harsh environment remain poorly characterized. In this exploratory longitudinal research, resting-state EEG recordings with eyes open (EO) and eyes closed (EC) were acquired from 16 Antarctic expeditioners at four mission stages: pre-departure, pre-polar-night, early post-polar-night, and austral summer. Linear mixed-effects models with false discovery rate correction were applied to analyze delta eyes-closed/open differentiation (the EC-EO delta log-power difference), delta sub-bands, aperiodic spectral features, entropy, EEG microstates and delta-band functional connectivity. The delta EC-EO difference exhibited consistent, progressively negative shifts in parietal, frontal, whole-brain and occipital regions across the expedition timeline, with the most pronounced shifts observed in recordings obtained during and after the polar-night period; this effect spanned all slow, mid and fast delta sub-bands. Secondary mild temporal variations were observed in aperiodic spectral metrics, occipital sample entropy and global delta connectivity, whereas EEG microstates displayed no significant longitudinal alterations. Collectively, the delta EC-EO difference emerges as a candidate EEG index of resting-state condition differentiation in the low-frequency range, pending validation in larger studies with synchronized behavioral, physiological, and environmental measures.
期刊介绍:
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