Poster Session E, Monday, March 25, 2:30 – 4:30 pm, Pacific Concourse
The relevance of resting-state functional connectivity to cognitive brain activations and behavior
Richard H. Chen1, Takuya Ito1, Ravi D. Mill1, Michael W. Cole1; 1Rutgers, the State University of New Jersey - Newark
Human fMRI research has typically focused on investigating how behaviors are associated with task-related brain activations. More recently, research has provided evidence linking resting-state functional connectivity (RSFC) to individual differences in behavior. Furthermore, there exists a strong statistical relationship between RSFC and task activations, despite RSFC being measured without active task manipulations. However, the underlying mechanisms remain unclear regarding how task-related behaviors (and associated task activations) are linked to RSFC, and how changes in RSFC may impact task-related activations and behavior. We hypothesize that there are both unique (independent) and shared (dependent) contributions from RSFC and task activations to behavior. We further hypothesized that activity flow – the movement of task activations over brain connections – can explain observed shared variance between task activations and RSFC (Cole et al. 2016). Using a multiple-regression approach, we accurately predicted 2-back working memory task performance using RSFC and task activations, independently (task activations: r = 0.26, RSFC: r = 0.32). In a partial correlation analysis, we found that task activations share 40% of variance with RSFC in its relationship with behavior. Comparatively, 23% of the variance in the RSFC-behavior relationship is shared with task activations. These results indicate that RSFC is strongly associated with task activations in its relationship with behavior, consistent with RSFC network architecture contributing to behavior and cognition via activity flow over routes described by RSFC.
Topic Area: METHODS: Neuroimaging