Multiple human behaviors improve early in life, peaking in young adulthood, and declining thereafter. Several properties of brain structure and function progress similarly across the lifespan. Cognitive and neuroscience research has approached aging primarily using associations between a few behaviors, brain functions, and structures. Because of this, the multivariate, global factors relating brain and behavior across the lifespan are not understood. We investigated the global patterns of associations between 334 behavioral and clinical measures and 376 brain structural connections in 594 individuals across the lifespan. A single-axis associated changes in multiple behavioral domains and brain structural connections (r=0.5808). Individual variability within the single association-axis well predicted the subjects age (r=0.6275). Representational similarity analysis evidenced global patterns of interactions across multiple brain networks systems and behavioral domains. Results show that a global process of human aging is well captured by multivariate data fusion approach.
bioRxiv Subject Collection: Neuroscience