Journal article
Data‐driven MRI analysis reveals fitness‐related functional change in default mode network and cognition following an exercise intervention
Psychophysiology, Vol.61(4), e14469
04/2024
DOI: 10.1111/psyp.14469
PMCID: PMC10939950
PMID: 37905673
Abstract
Abstract Previous research has indicated that cardiorespiratory fitness (CRF) is structurally and functionally neuroprotective in older adults. However, questions remain regarding the mechanistic role of CRF on cognitive and brain health. The purposes of this study were to investigate if higher pre‐intervention CRF was associated with greater change in functional brain connectivity during an exercise intervention and to determine if the magnitude of change in connectivity was related to better post‐intervention cognitive performance. The sample included low‐active older adults ( n = 139) who completed a 6‐month exercise intervention and underwent neuropsychological testing, functional neuroimaging, and CRF testing before and after the intervention. A data‐driven multi‐voxel pattern analysis was performed on resting‐state MRI scans to determine changes in whole‐brain patterns of connectivity from pre‐ to post‐intervention as a function of pre‐intervention CRF. Results revealed a positive correlation between pre‐intervention CRF and changes in functional connectivity in the precentral gyrus. Using the precentral gyrus as a seed, analyses indicated that CRF‐related connectivity changes within the precentral gyrus were derived from increased correlation strength within clusters located in the Dorsal Attention Network (DAN) and increased anti‐correlation strength within clusters located in the Default Mode Network (DMN). Exploratory analysis demonstrated that connectivity change between the precentral gyrus seed and DMN clusters were associated with improved post‐intervention performance on perceptual speed tasks. These findings suggest that in a sample of low‐active and mostly lower‐fit older adults, even subtle individual differences in CRF may influence the relationship between functional connectivity and aspects of cognition following a 6‐month exercise intervention.
We used a data‐driven MRI technique that identified unbiased seed regions for seed‐to‐voxel analysis using multi‐voxel pattern analysis. Our results strongly suggest that in a sample of low‐active and mostly lower‐fit older adults, even subtle individual differences in cardiorespiratory fitness may moderate the relationship between functional connectivity and aspects of cognition following a 6‐month exercise intervention.
Details
- Title: Subtitle
- Data‐driven MRI analysis reveals fitness‐related functional change in default mode network and cognition following an exercise intervention
- Creators
- Katherine M. Lloyd - Northeastern University Boston Massachusetts USATimothy P. Morris - Northeastern UniversitySheeba Anteraper - Imaging CenterMichelle Voss - University of IowaAlfonso Nieto-Castanon - Boston UniversitySusan Whitfield-Gabrieli - Northeastern University Boston Massachusetts USAJason Fanning - Wake Forest UniversityNeha Gothe - University of Illinois SystemElizabeth A. Salerno - Washington University in St. LouisKirk I. Erickson - University of PittsburghCharles H. Hillman - Northeastern UniversityEdward McAuley - University of Illinois SystemArthur F. Kramer - Northeastern University
- Resource Type
- Journal article
- Publication Details
- Psychophysiology, Vol.61(4), e14469
- DOI
- 10.1111/psyp.14469
- PMID
- 37905673
- PMCID
- PMC10939950
- NLM abbreviation
- Psychophysiology
- ISSN
- 0048-5772
- eISSN
- 1469-8986
- Grant note
- DOI: 10.13039/100000049, name: National Institute on Aging, award: R37 AG025667
- Language
- English
- Electronic publication date
- 10/31/2023
- Date published
- 04/2024
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984502955702771
Metrics
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