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Investigating the Intersession Reliability of Dynamic Brain-State Properties.


ABSTRACT: Dynamic functional connectivity metrics have much to offer to the neuroscience of individual differences of cognition. Yet, despite the recent expansion in dynamic connectivity research, limited resources have been devoted to the study of the reliability of these connectivity measures. To address this, resting-state functional magnetic resonance imaging data from 100 Human Connectome Project subjects were compared across 2 scan days. Brain states (i.e., patterns of coactivity across regions) were identified by classifying each time frame using k means clustering. This was done with and without global signal regression (GSR). Multiple gauges of reliability indicated consistency in the brain-state properties across days and GSR attenuated the reliability of the brain states. Changes in the brain-state properties across the course of the scan were investigated as well. The results demonstrate that summary metrics describing the clustering of individual time frames have adequate test/retest reliability, and thus, these patterns of brain activation may hold promise for individual-difference research.

SUBMITTER: Smith DM 

PROVIDER: S-EPMC6909700 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Investigating the Intersession Reliability of Dynamic Brain-State Properties.

Smith Derek M DM   Zhao Yrian Y   Keilholz Shella D SD   Schumacher Eric H EH  

Brain connectivity 20180601 5


Dynamic functional connectivity metrics have much to offer to the neuroscience of individual differences of cognition. Yet, despite the recent expansion in dynamic connectivity research, limited resources have been devoted to the study of the reliability of these connectivity measures. To address this, resting-state functional magnetic resonance imaging data from 100 Human Connectome Project subjects were compared across 2 scan days. Brain states (i.e., patterns of coactivity across regions) wer  ...[more]

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