Task-residual functional connectivity of language and attention networks

Brain and Cognition
Stella M TranBruce Crosson

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.

Citations

Jan 27, 2021·Brain Structure & Function·Lisa Bartha-DoeringGregor Kasprian
Oct 15, 2020·Journal of Neurophysiology·Hongyang SunRené Marois
Apr 27, 2021·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Lénia AmaralJorge Almeida
Dec 4, 2021·Experimental Brain Research·Kaleb VinehoutBrian D Schmit
Jan 5, 2022·Human Brain Mapping·Nikolay TaranTzipi Horowitz-Kraus

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