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Considerations towards a neurobiologically-informed EEG measurement of sleepiness.
Chatburn, Alex; Lushington, Kurt; Cross, Zachariah R.
Afiliação
  • Chatburn A; Cognitive Neuroscience Laboratory, University of South Australia, Adelaide, Australia. Electronic address: alex.chatburn@unisa.edu.au.
  • Lushington K; Cognitive Neuroscience Laboratory, University of South Australia, Adelaide, Australia; Centre for Behaviour-Brain-Body: Justice and Society Unit, University of South Australia, Adelaide, South Australia, Australia.
  • Cross ZR; Cognitive Neuroscience Laboratory, University of South Australia, Adelaide, Australia; Feinberg School of Medicine, Northwestern University, USA.
Brain Res ; 1841: 149088, 2024 Jun 13.
Article em En | MEDLINE | ID: mdl-38879143
ABSTRACT
Sleep is a daily experience across humans and other species, yet our understanding of how and why we sleep is presently incomplete. This is particularly prevalent in research examining the neurophysiological measurement of sleepiness in humans, where several electroencephalogram (EEG) phenomena have been linked with prolonged wakefulness. This leaves researchers without a solid basis for the measurement of homeostatic sleep need and complicates our understanding of the nature of sleep. Recent theoretical and technical advances may allow for a greater understanding of the neurobiological basis of homeostatic sleep need this may result from increases in neuronal excitability and shifts in excitation/inhibition balance in neuronal circuits and can potentially be directly measured via the aperiodic component of the EEG. Here, we review the literature on EEG-derived markers of sleepiness in humans and argue that changes in these electrophysiological markers may actually result from neuronal activity represented by changes in aperiodic markers. We argue for the use of aperiodic markers derived from the EEG in predicting sleepiness and suggest areas for future research based on these.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Res Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Res Ano de publicação: 2024 Tipo de documento: Article