Neural indicators of sleep loss and sleep propensity in male military trainees: Insights from dry‐electrode EEG—An exploratory study

Abstract This study examined the impact of reduced sleep on electroencephalogram (EEG) activity during cognitive tasks in Military Clearance Diver trainees using a novel dry‐electrode EEG system. Seven male participants underwent two 5‐day periods: a baseline and a “live‐in” phase with increased wor...

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Main Authors: Jazmin Morrone, Sarah Coakley, Sam Blacker, Stephen Myers, Paul Hough, Christopher Vine, Tessa Maroni, Neil Stanley, Shona Halson, Andrew Siddall, Stephen Patterson, Martin Jones, Kieran Chillingsworth, Charles R. Pedlar
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Physiological Reports
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Online Access:https://doi.org/10.14814/phy2.70301
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Summary:Abstract This study examined the impact of reduced sleep on electroencephalogram (EEG) activity during cognitive tasks in Military Clearance Diver trainees using a novel dry‐electrode EEG system. Seven male participants underwent two 5‐day periods: a baseline and a “live‐in” phase with increased workload and reduced sleep (5.4 ± 0.1 vs. 7.4 ± 0.7 h). EEG was recorded daily in the early morning (am) and late afternoon (pm) during a Psychomotor Vigilance Test (PVT), two oculography tests (am: n = 4; pm: n = 3), and 2 min of eyes‐closed rest. Significant increases in theta (t (29) = 2.308, p = 0.028, d = 0.421) and alpha (t (29) = 2.124, p = 0.042, d = 0.388) power spectrum densities were observed in the “live‐in” phase during the PVT. These findings align with increased lower frequency activity over time awake, reflecting heightened sleep propensity. Sleep loss was further confirmed by declining Odds Ratio Product (ORP) values. This study demonstrates the feasibility of dry‐electrode EEG in detecting fatigue‐related neural changes and highlights the potential of ORP as a quantifiable fatigue marker. These insights may inform operational settings, such as military diver performance monitoring and fatigue management strategies.
ISSN:2051-817X