TY - JOUR
T1 - Time-varying effective connectivity of the cortical neuroelectric activity associated with behavioural microsleeps
AU - Toppi, Jlenia
AU - Astolfi, Laura
AU - Poudel, Govinda R.
AU - Innes, Carrie R H
AU - Babiloni, Fabio
AU - Jones, Richard D.
PY - 2015/9/10
Y1 - 2015/9/10
N2 - 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.
AB - 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.
KW - Behavioural microsleeps
KW - EEG
KW - Effective connectivity
KW - Graph theory
KW - Time-varying connectivity
UR - http://www.scopus.com/inward/record.url?scp=84941985416&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941985416&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2015.08.059
DO - 10.1016/j.neuroimage.2015.08.059
M3 - Article
C2 - 26363348
AN - SCOPUS:84941985416
VL - 124
SP - 421
EP - 432
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
ER -