The Resting Brain: Unconstrained yet Reliable
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ID: 300287
2009
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Abstract
Recent years have witnessed an upsurge in the usage of resting-state functional magnetic resonance imaging (fMRI) to examine functional connectivity (fcMRI), both in normal and pathological populations. Despite this increasing popularity, concerns about the psychologically unconstrained nature of the “resting-state” remain. Across studies, the patterns of functional connectivity detected are remarkably consistent. However, the test–retest reliability for measures of resting state fcMRI measures has not been determined. Here, we quantify the test–retest reliability, using resting scans from 26 participants at 3 different time points. Specifically, we assessed intersession (>5 months apart), intrasession (<1 h apart), and multiscan (across all 3 scans) reliability and consistency for both region-of-interest and voxel-wise analyses. For both approaches, we observed modest to high reliability across connections, dependent upon 3 predictive factors: 1) correlation significance (significantly nonzero > nonsignificant), 2) correlation valence (positive > negative), and 3) network membership (default mode > task positive network). Short- and long-term measures of the consistency of global connectivity patterns were highly robust. Finally, hierarchical clustering solutions were highly reproducible, both across participants and sessions. Our findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations.
| Reference Key |
openalex_W2124141514
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| Authors | Zarrar Shehzad, Clare Kelly, Philip T. Reiss, Dylan G. Gee, Kristin Gotimer, Lucina Q. Uddin, Sang H. Lee, Daniel S. Margulies, Amy Krain Roy, Bharat B. Biswal, Eva Petkova, F. Xavier Castellanos, Michael P. Milham |
| Journal | cerebral cortex (new york, ny : 1991) |
| Year | 2009 |
| DOI |
10.1093/cercor/bhn256
|
| URL | |
| Keywords | Keywords not found |
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