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

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

988

Lastpage

991

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260592

Filename

4461919