Task-residual functional connectivity of language and attention networks.
作者： Stella M. Tran , Keith M. McGregor , George Andrew James , Kaundinya Gopinath , Venkatagiri Krishnamurthy
DOI: 10.1016/J.BANDC.2018.02.003
关键词: Degree (music) 、 Resting state fMRI 、 Covariance 、 Data type 、 Psychology 、 Cognitive psychology 、 Variance (accounting) 、 Laterality 、 Task (project management) 、 SIGNAL (programming language)
摘要: 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 resting-state types were compared. based evidenced stronger laterality the connections thus greater compared to functional same connections. Covariance between nodes task-residuals may reflect which two regions are coordinated their specific activity, rather than general shared co-activation. Task-residual provides complementary that resting-state, emphasizing relationships during task engagement.
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