An episode of complete failure to respond during an attentive task accompanied by behavioural signs of sleep is called a behavioural microsleep. We proposed a combination of high-resolution EEG and an advanced method for time-varying effective connectivity estimation for reconstructing the temporal evolution of the causal relations between cortical regions when microsleeps occur during a continuous visuomotor task. We found connectivity patterns involving left-right frontal, left-right parietal, and left-frontal/right-parietal connections commencing in the interval [- 500; - 250] ms prior to the onset of microsleeps and disappearing at the end of the microsleeps. Our results from global graph indices derived from effective connectivity analysis have revealed EEG-based biomarkers of all stages of microsleeps (preceding, onset, pre-recovery, recovery). In particular, this raises the possibility of being able to predict microsleeps in real-world tasks and initiate a 'wake-up' intervention to avert the microsleeps and, hence, prevent injurious and even multi-fatality accidents. © 2015 Elsevier Inc.
Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps / Toppi, Jlenia; Astolfi, Laura; Poudel, Govinda R.; Innes, Carrie R. H.; Babiloni, Fabio; Jones, Richard D.. - In: NEUROIMAGE. - ISSN 1053-8119. - STAMPA. - 124:Pt A(2016), pp. 421-432. [10.1016/j.neuroimage.2015.08.059]
Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps
Toppi, Jlenia
;Astolfi, Laura;Babiloni, Fabio;
2016
Abstract
An episode of complete failure to respond during an attentive task accompanied by behavioural signs of sleep is called a behavioural microsleep. We proposed a combination of high-resolution EEG and an advanced method for time-varying effective connectivity estimation for reconstructing the temporal evolution of the causal relations between cortical regions when microsleeps occur during a continuous visuomotor task. We found connectivity patterns involving left-right frontal, left-right parietal, and left-frontal/right-parietal connections commencing in the interval [- 500; - 250] ms prior to the onset of microsleeps and disappearing at the end of the microsleeps. Our results from global graph indices derived from effective connectivity analysis have revealed EEG-based biomarkers of all stages of microsleeps (preceding, onset, pre-recovery, recovery). In particular, this raises the possibility of being able to predict microsleeps in real-world tasks and initiate a 'wake-up' intervention to avert the microsleeps and, hence, prevent injurious and even multi-fatality accidents. © 2015 Elsevier Inc.File | Dimensione | Formato | |
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