By Topic

Effect of Sleep Deprivation on Functional Connectivity of EEG Channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kar, S. ; Indian Inst. of Technol. Kharagpur, Kharagpur, India ; Routray, A.

This paper presents the functional interdependences among electroencephalograph (EEG) signals collected from human subjects undergoing a controlled experiment over a period of 36 h of sleep deprivation. The EEG signals were recorded from 19 electrodes spread all over the scalp. The interdependence among the signals was measured using synchronization likelihood (SL), which measures the dynamical (both linear and nonlinear) interdependence between two or more nonstationary time series. A network structure was evolved based on these SL values. The EEG signal being nonstationary, instead of the frequency bands, the connectivity was evaluated at various intrinsic modes known as intrinsic mode functions (IMFs). These IMFs were generated using empirical mode decomposition. It was observed that the connectivity of the networks exhibits definite patterns at specific IMFs with increase in sleep deprivation at successive stages of the experiment. The results were validated using subjective assessment and audiovisual response tests.

Published in:

Systems, Man, and Cybernetics: Systems, IEEE Transactions on  (Volume:43 ,  Issue: 3 )