| Literature DB >> 32987241 |
Isabella A Breukelaar1, Kristi R Griffiths2, Anthony Harris3, Sheryl L Foster4, Leanne M Williams5, Mayuresh S Korgaonkar6.
Abstract
Understanding how brain circuitry mediates cognitive control of behavior is crucial for understanding both mental health and disease. Cognitive control describes the group of behaviors that guide goal-directed action such as sustaining attention, processing information and inhibiting impulsive responses. We rely on these behaviors for daily social, occupational and emotional functioning. Two brain networks, the cognitive control network (CCN) and default mode network (DMN), are thought to cooperate in an inverse relationship to support these functions. However, we do not yet know how connectivity within and between these networks directly relates to healthy cognitive control behaviors, and whether these interactions change over time. Here, we employed a longitudinal design to investigate if change in intrinsic connectivity in these networks will correlate with change in a range of cognitive control functions. Over two years, 109 healthy individuals, aged eight to thirty-eight, were tested twice using fMRI to assess intrinsic functional connectivity of the CCN and DMN and a validated cognitive battery. We found that increased within-network connectivity through central and left DMN was associated with increased memory performance. Additionally, decreased connectivity between posterior parietal CCN and DMN nodes and decreased connectivity between left and right dorsolateral prefrontal nodes was associated with increased cognitive performance. These findings were age and gender controlled, suggesting that age-independent plastic change in intrinsic connectivity through these networks directly relate to changing behavior. This has implications for targeting intrinsic connectivity as a possible mechanism to improve cognitive function.Entities:
Keywords: Cognitive control network; Default mode network; Intrinsic connectivity; Longitudinal; Resting state
Mesh:
Year: 2020 PMID: 32987241 DOI: 10.1016/j.cortex.2020.08.014
Source DB: PubMed Journal: Cortex ISSN: 0010-9452 Impact factor: 4.027