Functional connectivity during resting-state functional MR imaging: Study of the correspondence between independent component analysis and region-of-interest - Based methods

Cristina Rosazza, Minati Minati, F. Ghielmetti, M. L. Mandelli, M. G. Bruzzone

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)180-187
Number of pages8
JournalAmerican Journal of Neuroradiology
Volume33
Issue number1
DOIs
Publication statusPublished - Jan 2012

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ASJC Scopus subject areas

  • Clinical Neurology
  • Radiology Nuclear Medicine and imaging

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