Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7282693 | Brain and Cognition | 2018 | 7 Pages |
Abstract
Functional connectivity using task-residual data capitalizes on remaining variance after mean task-related signal is removed from a time series. The degree of network specificity in language and attention domains featured by task-residual and resting-state data types were compared. Functional connectivity based on task-residual data evidenced stronger laterality of the language and attention connections and thus greater network specificity compared to resting-state functional connectivity of the same connections. Covariance between network nodes of task-residuals may thus reflect the degree to which two regions are coordinated in their specific activity, rather than a general shared co-activation. Task-residual functional connectivity provides complementary data to that of resting-state, emphasizing network relationships during task engagement.
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Authors
Stella M. Tran, Keith M. McGregor, George Andrew James, Kaundinya Gopinath, Venkatagiri Krishnamurthy, Lisa C. Krishnamurthy, Bruce Crosson,