DocumentCode
2939972
Title
Network dynamics of the epileptic brain at rest
Author
Stamoulis, Catherine ; Gruber, Lawrence J. ; Chang, Bernard S.
Author_Institution
Med. Sch., Dept. of Neurology, Harvard Univ., Boston, MA, USA
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
150
Lastpage
153
Abstract
Baseline neurodynamics are believed to play an important role in normal brain function. A potentially intrinsic property of the brain is the weak coupling between networks at rest, which enables it to be flexible, adapt, process novel stimuli, and learn. Brain regions become differentially coordinated in response to cognitive task and behavior demands and external stimuli. However, abnormally synchronized resting brain networks may also be associated with different pathologies. We investigated baseline network dynamics in the epileptic brain using information theoretic parameters to quantify coupling and directionality of information flow between different cortical regions. We estimated relative entropy, conditional mutual information and a related measure of directional coupling, from EEGs of patients with epilepsy and healthy subjects. At rest, the healthy brain appears to be characterized by low and non-directional network coupling, whereas the epileptic brain appears to be transiently and directionally synchronized.
Keywords
bioelectric phenomena; diseases; electroencephalography; information theory; neural nets; neurophysiology; EEG; abnormally synchronized resting brain networks; baseline network dynamics; baseline neurodynamics; conditional mutual information; cortical region coupling; directional coupling measure; information flow directionality; information theoretic parameters; normal brain function; relative entropy; resting epileptic brain network dynamics; weak network coupling; Biomedical imaging; Couplings; Electroencephalography; Entropy; Epilepsy; Mutual information; Synchronization; Algorithms; Brain; Case-Control Studies; Electroencephalography; Epilepsy; Humans; Nerve Net; Reproducibility of Results; Rest; Signal Processing, Computer-Assisted;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5627212
Filename
5627212
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