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Individualized Mapping of Functional Brain Networks in Older Adulthood
Colleen Hughes1, Anne C Krendl1, Roberto C French1
1Psychological and Brain Sciences Department, Indiana University, Bloomington, IN, USA.
Biorxiv : the Preprint Server for Biology
|February 12, 2026
Summary
Individualized brain network mapping reveals unique age-related changes in older adults. This approach offers a more precise understanding of neurocognitive aging and brain variability compared to traditional group methods.
Area of Science:
- Neuroscience
- Cognitive Science
- Gerontology
Background:
- The aging brain exhibits significant changes in functional network architecture, both systematic and idiosyncratic.
- Current network mapping often focuses on young adults, potentially missing age-specific neural variability.
Purpose of the Study:
- To assess the validity and impact of individual-specific functional network mapping in young and older adults.
- To compare individualized mapping with traditional group-averaged approaches for characterizing neurocognitive aging.
Main Methods:
- Utilized two functional magnetic resonance imaging (fMRI) datasets (n=112 young, n=176 older adults).
- Applied individualized network mapping techniques to resting-state fMRI data.
- Evaluated network homogeneity, fidelity to task fMRI, reliability, and discriminability.
Main Results:
- Older adults demonstrated more idiosyncratic functional network topography than younger adults.
- Individualized maps enhanced network homogeneity and fidelity to task activations.
- Individualized mapping showed reliability over 2 years and discriminability between individuals.
Conclusions:
- Individualized network mapping captures significant heterogeneity in older adulthood.
- This approach may provide a more precise characterization of neurocognitive aging than group-averaged methods.
- Individualized mapping improves understanding of age-related neural and behavioral variability.
Keywords:
agingfunctional brain networksfunctional magnetic resonance imagingnetwork segregationprecision functional mappingresting-stateMore Related Videos
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