Title :
Brain Connectivity Structure in Spinal Cord Injured: Evaluation by Graph Analysis
Author :
De Vico Fallani, F. ; Astolfi, L. ; Cincotti, F. ; Mattia, D. ; Marcian, M.G. ; Salinari, S. ; Lopez, G.Z. ; Kurths, J. ; Zhou, Changle ; Gao, Smith ; Colosimo, A. ; Babiloni, F.
Author_Institution :
IRCCS, Fondazione Santa Lucia, Rome
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
The problem of the evaluation of brain connectivity has become a fundamental one in the neurosciences during the latest years, as a way to understand the organization and the interaction of several cortical areas during the execution of cognitive or motor tasks. Following an approach that derives from the graph theory, we analyzed the architectural properties of the networks obtained by the use of DTF measures on the cortical signals estimated from the high resolution EEG recordings. The present work aims at analyse the structure of cortical connectivity during the imagination of a limb movement in spinal cord injured patients, by the computation of the characteristic path length L and the cluster indices Cin and Cout
Keywords :
electroencephalography; graph theory; neural nets; neurophysiology; wounds; EEG recordings; brain connectivity structure; cluster indices; cognitive task; cortical areas; cortical signal estimation; directed transfer function; graph theory; limb movement; motor task; network architectural properties; neuroscience; path length characteristics; spinal cord injured patient; Brain modeling; Cities and towns; Electrodes; Electroencephalography; Graph theory; Magnetic heads; Scalp; Spinal cord; Spinal cord injury; USA Councils; Cluster Indices; DTF; Graph; Path Length; Spinal Cord Injured; high resolution EEG;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260592
