Automatic selection of functionally-connected network nodes in fMRI data

Introduction We investigated the use of partial correlation analysis for the identification of functionally-connected network nodes in fMRI data. In this way, addition of nodes with shared signal characteristics will reduce the partial correlation coefficient between an initial pair of nodes, and th...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S170-S170
Main Authors: Shaw, ME, Gavrilescu, M, Crocker, R, Wood, A, Johnston, LA
Format: Article
Language:English
Subjects:
Correlation analysis
Online Access:Get full text
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Summary:Introduction We investigated the use of partial correlation analysis for the identification of functionally-connected network nodes in fMRI data. In this way, addition of nodes with shared signal characteristics will reduce the partial correlation coefficient between an initial pair of nodes, and this reduction can be used as a measure of their 'connectedness'.
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)71830-0