What this means
Cognitive decline is characterized by substantial inter-individual variability across the lifespan, even among clinically healthy adults. However, it is unclear how structural and functional brain organization jointly relate to differences in cognitive performance within the typical populations.
A plain-English summary is on its way. Until then, this is the start of the authors' own summary.
- Who it was tested in
- Not stated
- Kind of research
- Early results, not yet checked by other scientists
The science
- Original title
- Functional and Structural Brain Age Gaps as Complementary Predictive Markers for Cognitive Performance
- Authors
- Crocetta, A., Morandini, M., Bittner, N. et al.
- Journal
- bioRxiv (preprint, not yet peer reviewed)
- Published
- Oct 26, 2026
- Study type
- Preprint
Abstract
Cognitive decline is characterized by substantial inter-individual variability across the lifespan, even among clinically healthy adults. However, it is unclear how structural and functional brain organization jointly relate to differences in cognitive performance within the typical populations. We considered a multimodal brain age framework by predicting for each subject its age from either structural MRI or resting-state functional MRI, after training on the 1000BRAINS cohort (901 participants, 18-85 years). Following, a structural and a functional brain age gap markers were defined as the deviations with respect to the real chronological age. We then used the markers to characterize the interplay between structure and function in shaping cognitive performances. Our findings reveal that the functional marker is as important to predict global cognitive performance as the structural marker. The most accurate prediction was found for global cognition, executive functions and episodic memory, followed by working memory, attention and language. In particular, the structural marker was contributing to all domains, except for working memory, whereas the functional marker had the highest contribution. Overall, structural and functional brain age models together provide a meaningful subject-level summary of brain information for predicting cognition, supporting a multidimensional view of typical aging.
Crocetta, A., Morandini, M., Bittner, N. et al. Functional and Structural Brain Age Gaps as Complementary Predictive Markers for Cognitive Performance. bioRxiv. 2026. doi:10.64898/2026.10.20.760445. https://doi.org/10.64898/2026.10.20.760445