Task-residual functional connectivity of language and attention networks

Published in: Brain and Cognition, Volume 122, April 2018, 52-58

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.”

Written by: Stella M. Tran, Keith M. McGregor, George Andrew James, Kaundinya Gopinath, Venkatagiri Krishnamurthy, Lisa C. Krishnamurthy, Bruce Crosson
For full text: https://doi.org/10.1016/j.bandc.2018.02.003

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