Task-residual functional connectivity of language and attention networks

Academic Article

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.
  • Authors

    Published In

    Digital Object Identifier (doi)

    Author List

  • Tran SM; McGregor KM; James GA; Gopinath K; Krishnamurthy V; Krishnamurthy LC; Crosson B
  • Start Page

  • 52
  • End Page

  • 58
  • Volume

  • 122