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Pindus DM, Ai M, Chaddock-Heyman L, Burzynska AZ, Gothe NP, Salerno EA, Fanning J, Arnold Anteraper SRA, Castanon AN, Whitfield-Gabrieli S, Hillman CH, McAuley E, Kramer AF. Physical activity-related individual differences in functional human connectome are linked to fluid intelligence in older adults. Neurobiol Aging 2024; 137:94-104. [PMID: 38460470 DOI: 10.1016/j.neurobiolaging.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 03/11/2024]
Abstract
The study examined resting state functional connectivity (rs-FC) associated with moderate-to-vigorous physical activity (MV-PA), sedentary time (ST), TV viewing, computer use, and their relationship to cognitive performance in older adults. We used pre-intervention data from 119 participants from the Fit & Active Seniors trial. Multivariate pattern analysis revealed two seeds associated with MV-PA: right superior frontal gyrus (SFG; spanning frontoparietal [FPN] and ventral attention networks [VAN]) and right precentral (PrG) and postcentral gyri (PoG) of the somatosensory network (SN). A positive correlation between the right SFG seed and a cluster spanning default mode (DMN), dorsal attention (DAN), FPN, and visual networks (VIS) was linked to higher fluid intelligence, as was FC between the right PrG/PoG seed and a cluster in VIS. No significant rs-FC patterns associated with ST, TV viewing, or computer use were found. Our findings suggest that greater functional integration within networks implementing top-down control and within those supporting visuospatial abilities, paired with segregation between networks critical and those not critical to top-down control, may help promote cognitive reserve in more physically active seniors.
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Affiliation(s)
- Dominika M Pindus
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Meishan Ai
- Department of Psychology, Northeastern University, Boston, MA, USA
| | | | - Agnieszka Z Burzynska
- College of Health and Human Sciences, Colorado State University, Fort Collins, CO, USA
| | - Neha P Gothe
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | | | - Jason Fanning
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | | | | | | | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Edward McAuley
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Arthur F Kramer
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Psychology, Northeastern University, Boston, MA, USA
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