Associations between dynamic functional connectivity and age, metabolic risk, and cognitive performance
Raymond P Viviano1, Naftali Raz1, Peng Yuan2
1Department of Psychology, Wayne State University, Detroit, MI, USA; Institute of Gerontology, Wayne State University, Detroit, MI, USA.
Aging affects brain connectivity dynamics. Dynamic functional connectivity analysis reveals age-related changes and links specific brain network patterns to metabolic risk and executive functions in healthy adults.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Advanced age is linked to decreased functional connectivity in brain networks, especially the default mode network.
- Previous research primarily used static functional connectivity measures, overlooking short-term temporal dynamics.
Purpose of the Study:
- To investigate age-related differences in dynamic functional connectivity.
- To explore associations between dynamic connectivity, metabolic risk, and cognitive performance in healthy adults.
Main Methods:
- Resting-state functional magnetic resonance imaging (fMRI) data from 168 healthy adults (aged 18-83).
- Sliding-window k-means clustering applied to assess dynamic functional connectivity.
- Analysis of associations between dynamic connectivity profiles, metabolic risk, and cognitive measures.
Main Results:
- Three of eight identified dynamic connectivity profiles showed significant associations with age.
- Metabolic risk correlated with the time spent in two specific dynamic connectivity profiles.
- Increased time in a profile with heightened default mode and medial temporal connectivity correlated positively with executive functions.
Conclusions:
- Dynamic functional connectivity analysis provides insights into aging brain processes beyond static measures.
- Age-related changes in brain network temporal dynamics are observable.
- Specific dynamic connectivity patterns are associated with metabolic health and cognitive abilities, particularly executive functions.
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