Factor analyses of a structural connectome integrity matrix (R2) in older adults revealed four Sub-Networks differentially associated with baseline and longitudinal cognitive and motor functioning, providing an approach to assessing aging structural connectome integrity.
Key Findings
Results
Factor analysis of the R2 structural connectome integrity matrix revealed four distinct Sub-Networks (SN) with characteristic regional node compositions.
SN-1 involved most frontal nodes, all parietal nodes, and key subcortical (basal ganglia) structures.
SN-2 involved most albeit slightly different frontal nodes than SN-1, nearly all temporal and key subcortical (limbic) nodes.
SN-3 was primarily characterized by edges involving select parietal and temporal and all occipital nodes.
SN-4 was confined to cerebellum, basal ganglia, and limbic nodes.
The sample consisted of 1239 participants with mean age approximately 79 ± 7 years.
Results
Lower R2 in SN-1, SN-2, and SN-4 was associated with lower baseline global cognition.
Associations were identified using a linear mixed-effects regression model containing weighted composite scores representing each Sub-Network.
Models adjusted for relevant confounders.
Three of the four Sub-Networks (SN-1, SN-2, SN-4) showed associations with baseline global cognitive performance.
SN-3 was not associated with baseline global cognition.
Results
Lower R2 in SN-2 and SN-3 was associated with faster declines in global cognition over time.
Longitudinal cognitive decline was assessed using linear mixed-effects regression models.
SN-2 and SN-3 were specifically implicated in cognitive decline trajectories.
SN-1 and SN-4 were not associated with rate of change in global cognition over time.
Sub-Networks were also differentially associated with domain-specific cognitive functions at baseline and over time.
Results
Nearly all Sub-Networks were negatively associated with global motor function, dexterity, and gait speed at baseline.
Global motor function, dexterity, and gait speed were the motor outcomes examined.
The association with baseline motor functioning was present across almost all four Sub-Networks.
This suggests broad structural connectome integrity relevance to motor functioning at a single time point.
Results
Only SN-1 and SN-4 were associated with change in motor functioning over time, specifically gait speed.
Longitudinal motor associations were more selective than baseline motor associations.
SN-2 and SN-3 were not associated with change in motor functioning over time.
The specific motor domain associated with longitudinal change was gait speed.
SN-1 involves frontal, parietal, and basal ganglia nodes; SN-4 involves cerebellum, basal ganglia, and limbic nodes.
Methods
The study used transverse relaxation rates (R2) derived from white matter connections defined via a structural connectivity-based atlas to form the structural connectome integrity matrix.
R2 is a measure of transverse relaxation rate applied to white matter connections.
A structural connectivity-based atlas was used to define white matter connections.
The resulting matrix was termed the Structural Connectome Integrity Matrix (SCIM).
The sample included 1239 older adult participants with mean age approximately 79 ± 7 years.
This approach was applied to neuroimaging data from what appears to be a large cohort study of aging.
Lamar M, Wagner M, Leurgans S, Fan W, Zhang S, Poole V, et al.. (2026). Sub-Networks of the Brain R2 Structural Connectome Integrity Matrix (SCIM) and Older Adult Cognitive and Motor Functioning.. Human brain mapping. https://doi.org/10.1002/hbm.70510