Although past research has established a relationship between functional connectivity and cognitive function, less is known about which cognitive domains are associated with which specific functional networks. This study investigated associations between functional connectivity and global cognitive function and performance in the domains of memory, executive function and psychomotor speed in 166 older adults aged 75-91 years (mean = 80.3 ± 3.8) with minor cognitive deficits (Mini-Mental State Examination scores between 21 and 27). Functional connectivity was assessed within 10 standard large-scale resting-state networks and on a finer spatial resolution between 300 nodes in a functional connectivity matrix. No domain-specific associations with mean functional connectivity within large-scale resting-state networks were found. Node-level analysis revealed that associations between functional connectivity and cognitive performance differed across cognitive functions in strength, location and direction. Specific subnetworks of functional connections were found for each cognitive domain in which higher connectivity between some nodes but lower connectivity between other nodes were related to better cognitive performance. Our findings add to a growing body of literature showing differential sensitivity of functional connections to specific cognitive functions and may be a valuable resource for hypothesis generation of future studies aiming to investigate specific cognitive dysfunction with resting-state functional connectivity in people with beginning cognitive deficits.
© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.
Overview publication
Title | Distinct functional subnetworks of cognitive domains in older adults with minor cognitive deficits. |
Date | January 1st, 2024 |
Issue name | Brain communications |
Issue number | v6.1:fcae048 |
DOI | 10.1093/braincomms/fcae048 |
PubMed | 38419735 |
Authors | |
Keywords | cognitive domains, functional MRI, functional connectivity, older adults, resting-state networks |
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