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@ARTICLE{Strauss:906343,
      author       = {Strauss, Mélanie and Sitt, Jacobo D. and Naccache, Lionel
                      and Raimondo, Federico},
      title        = {{P}redicting the loss of responsiveness when falling asleep
                      in humans},
      journal      = {NeuroImage},
      volume       = {251},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2022-01381},
      pages        = {119003 -},
      year         = {2022},
      abstract     = {Falling asleep is a dynamical process that is poorly
                      defined. The period preceding sleep, characterized by the
                      progressive alteration of behavioral responses to the
                      environment, which may last several minutes, has no
                      electrophysiological definition, and is embedded in the
                      first stage of sleep (N1). We aimed at better characterizing
                      this drowsiness period looking for neurophysiological
                      predictors of responsiveness using electro and
                      magneto-encephalography. Healthy participants were recorded
                      when falling asleep, while they were presented with
                      continuous auditory stimulations and asked to respond to
                      deviant sounds. We analysed brain responses to sounds and
                      markers of ongoing activity, such as information and
                      connectivity measures, in relation to rapid fluctuations of
                      brain rhythms observed at sleep onset and participants’
                      capabilities to respond. Results reveal a drowsiness period
                      distinct from wakefulness and sleep, from alpha rhythms to
                      the first sleep spindles, characterized by diverse and
                      transient brain states that come on and off at the scale of
                      a few seconds and closely reflects, mainly through neural
                      processes in alpha and theta bands, decreasing probabilities
                      to be responsive to external stimuli. Results also show that
                      the global P300 was only present in responsive trials,
                      regardless of vigilance states. A better consideration of
                      the drowsiness period through a formalized classification
                      and its specific brain markers such as described here should
                      lead to significant advances in vigilance assessment in the
                      future, in medicine and ecological environments.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35176491},
      UT           = {WOS:000766292200002},
      doi          = {10.1016/j.neuroimage.2022.119003},
      url          = {https://juser.fz-juelich.de/record/906343},
}