University of Sussex
Browse

File(s) not publicly available

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

journal contribution
posted on 2023-06-08, 12:38 authored by C Rosazza, Ludovico Minati, F Ghielmetti, M L Mandelli, M G Bruzzone
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.

History

Publication status

  • Published

Journal

American Journal of Neuroradiology

ISSN

0195-6108

Publisher

American Society of Neuroradiology

Issue

1

Volume

33

Page range

180-187

Department affiliated with

  • Clinical and Experimental Medicine Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-11-01

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC