The EEG during Sleep is a Window to the Mind: Recurrence Analysis of the Sleep EEG Accurately Identifies Subjects with Mental Health Symptoms


David E. McCarty1, Naresh M. Punjabi2, Paul Y. Kim1, Clifton Frilot II3, Andrew A. Marino1

1Division of Sleep Medicine, Department of Neurology, LSU Health , Shreveport, LA
2Department of Pulmonary & Critical Care Medicine, Johns Hopkins Medicine, Baltimore, MD
3School of Allied Health Professions, LSU Health Sciences Center, Shreveport, LA

Presented at SLEEP 2014, the 28th Annual Meeting of the Associated Professional Sleep Societies, Minneapolis, MN, June, 2014


Abstract

Analysis of brain recurrence (ABR) is a novel method of algorithmically quantifying the degree of non-randomness (complexity) in an EEG signal. We showed that ABR accurately identified a signature in the sleep EEG that was specific for the presence of mental health symptoms, as assessed using the MHI-5 questionnaire

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