Segregation of three resting-state brain networks predicts reappraisal success across the lifespan

Abstract

Cognitive reappraisal is a form of emotion regulation that involves the reinterpretation of stimuli to change one's emotional state, often to reduce negative affect. Emotion regulation functional magnetic resonance imaging (fMRI) tasks generally yield increased activation in prefrontal cortex and, less consistently, decreased amygdala activation. Only a few studies, however, have examined how intrinsic brain organization, characterized via resting-state fMRI, relates to reappraisal, typically focusing on the same task-derived brain regions. Here, we administered an emotion regulation task where participants (n = 227, 6-80 years) viewed or downregulated responses to negative images, then completed a resting-state fMRI scan. We examined the functional connectivity in 300 whole-brain regions of interest comprising 13 functional networks. We found that the network segregation, or relative balance of within- and between-network connectivity, in the default mode network (DMN), dorsal attention network (DAN), and somatomotor-dorsal (SMd) network was associated with reappraisal success (controlling for age and movement). Specifically, greater connectivity within the DMN and DAN, lower connectivity within the SMd, and greater connectivity between the SMd and lateral SM networks predicted better reappraisal ability. These networks also partially overlapped with brain areas supporting emotion regulation and reactivity, suggesting that functional brain organization is a key factor in shaping emotion regulation across the lifespan.