TY - JOUR T1 - Functional Connectivity during Resting-State Functional MR Imaging: Study of the Correspondence between Independent Component Analysis and Region-of-Interest−Based Methods JF - American Journal of Neuroradiology JO - Am. J. Neuroradiol. SP - 180 LP - 187 DO - 10.3174/ajnr.A2733 VL - 33 IS - 1 AU - C. Rosazza AU - L. Minati AU - F. Ghielmetti AU - M.L. Mandelli AU - M.G. Bruzzone Y1 - 2012/01/01 UR - http://www.ajnr.org/content/33/1/180.abstract N2 - BACKGROUND AND PURPOSE: The connectivity across brain regions can be evaluated through fMRI either by using ICA or by means of correlation analysis of time courses measured in predefined ROIs. The purpose of this study was to investigate quantitatively the correspondence between the connectivity information provided by the 2 techniques. MATERIALS AND METHODS: In this study, resting-state fMRI data from 40 healthy participants were independently analyzed by using spatial ICA and ROI−based analysis. To assess the correspondence between the results provided by the 2 methods, for all combinations of ROIs, we compared the time course correlation coefficient with the corresponding “ICA coactivation index.” RESULTS: A strongly significant correspondence of moderate intensity was found for 20 ICA components (r = 0.44, P < .001). Repeating the analysis with 10, 15, 25, 30, 35, and 40 components, we found that the correlation remained but was weaker (r = 0.35–0.41). CONCLUSIONS: There is a significant but not complete correspondence between the results provided by ICA and ROI−based analysis of resting-state data. AALAnatomical Automatic LabelingADAlzheimer diseaseBOLDblood oxygen level–dependentDMNdefault mode networkICsindependent componentsICAindependent-component analysisMDLminimum description lengthPCAprincipal component analysisSPMStatistical Parametric Mapping ER -