| Literature DB >> 34950997 |
Hanna K Hausman1,2, Cheshire Hardcastle1,2, Alejandro Albizu1,3, Jessica N Kraft1,3, Nicole D Evangelista1,2, Emanuel M Boutzoukas1,2, Kailey Langer1,2, Andrew O'Shea1,2, Emily J Van Etten4, Pradyumna K Bharadwaj4, Hyun Song4, Samantha G Smith4, Eric Porges1,2, Steven T DeKosky1,5, Georg A Hishaw6, Samuel Wu7, Michael Marsiske1,2, Ronald Cohen1,2, Gene E Alexander4,6, Adam J Woods8,9.
Abstract
Executive function is a cognitive domain that typically declines in non-pathological aging. Two cognitive control networks that are vulnerable to aging-the cingulo-opercular (CON) and fronto-parietal control (FPCN) networks-play a role in various aspects of executive functioning. However, it is unclear how communication within these networks at rest relates to executive function subcomponents in older adults. This study examines the associations between CON and FPCN connectivity and executive function performance in 274 older adults across working memory, inhibition, and set-shifting tasks. Average CON connectivity was associated with better working memory, inhibition, and set-shifting performance, while average FPCN connectivity was associated solely with working memory. CON region of interest analyses revealed significant connections with classical hub regions (i.e., anterior cingulate and anterior insula) for each task, language regions for verbal working memory, right hemisphere dominance for inhibitory control, and widespread network connections for set-shifting. FPCN region of interest analyses revealed largely right hemisphere fronto-parietal connections important for working memory and a few temporal lobe connections for set-shifting. These findings characterize differential brain-behavior relationships between cognitive control networks and executive function in aging. Future research should target these networks for intervention to potentially attenuate executive function decline in older adults.Entities:
Keywords: Cognitive aging; Executive function; Imaging; Resting-state networks
Mesh:
Year: 2021 PMID: 34950997 PMCID: PMC9135913 DOI: 10.1007/s11357-021-00503-1
Source DB: PubMed Journal: Geroscience ISSN: 2509-2723 Impact factor: 7.581