Physical activity-related individual differences in functional human connectome are linked to fluid intelligence in older adults

Dominika M. Pindus, Meishan Ai, Laura Chaddock-Heyman, Agnieszka Z. Burzynska, Neha P. Gothe, Elizabeth A. Salerno, Jason Fanning, Sheeba R.A. Arnold Anteraper, Alfonso N. Castanon, Susan Whitfield-Gabrieli, Charles H Hillman, Edward McAuley, Arthur F. Kramer

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)94-104
Number of pages11
JournalNeurobiology of Aging
Volume137
DOIs
StatePublished - May 2024

Keywords

  • Cognitive function
  • Functional connectivity
  • Multivariate pattern analyses
  • Older adults
  • Physical activity
  • Sedentary behaviors

ASJC Scopus subject areas

  • General Neuroscience
  • Aging
  • Clinical Neurology
  • Developmental Biology
  • Geriatrics and Gerontology

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