Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory.

Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Research Abstract Details 

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Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Abstract Text:

L Astolfi,F de Vico Fallani,F Cincotti,D Mattia,M G Marciani,S Bufalari,S Salinari,A Colosimo,L Ding,J C Edgar,W Heller,G A Miller,B He,F Babiloni,L Astolfi,F de Vico Fallani,F Cincotti,D Mattia,M G Marciani,S Bufalari,S Salinari,A Colosimo,L Ding,J C Edgar,W Heller,G A Miller,B He,F Babiloni,

We describe a set of computational tools able to estimate cortical activity and connectivity from high-resolution EEG and fMRI recordings in humans. These methods comprise the estimation of cortical activity using realistic geometry head volume conductor models and distributed cortical source models, followed by the evaluation of cortical connectivity between regions of interest coincident with the Brodmann areas via the use of Partial Directed Coherence. Connectivity patterns estimated on the cortical surface in different frequency bands are then imaged and interpreted with measures based on graph theory. These computational tools were applied on a set of EEG and fMRI data from a Stroop task to demonstrate the potential of the proposed approach. The present findings suggest that the methodology is able to identify differences in functional connectivity patterns elicited by different experimental tasks or conditions.

Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Publishing Authors By Initials

L Astolfi,F de Vico Fallani,F Cincotti,D Mattia,MG Marciani,S Bufalari,S Salinari,A Colosimo,L Ding,JC Edgar,W Heller,GA Miller,B He,F Babiloni,L Astolfi,F de Vico Fallani,F Cincotti,D Mattia,MG Marciani,S Bufalari,S Salinari,A Colosimo,L Ding,JC Edgar,W Heller,GA Miller,B He,F Babiloni,

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Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Psychophysiology

VOLUME: 44

Page Numbers: 880-93

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ISSN: 0048-5772

DAY: 7

MONTH: 07

YEAR: 2007

Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory. Information

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LANGUAGE: eng

NlmUniqueID: 142657

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Grant and Affiliation Information for Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory.

AFFILIATION: Dipartimento Fisiologia Umana e Farmacologia, Universitá La Sapienza, Rome, Italy.

Country: United States

AGENCY: United States NIMH

GRANT: MH61358

ACRONYM: MH

MEDLINETA: Psychophysiology

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