What is it about?

The purpose of the study was to investigate the relationship between age and the functional coupling between specific neural networks in the brain. We show that the connectivity between certain brain regions can predict people’s chronological age with a high level of accuracy and that this relationship varies across the lifespan.

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Why is it important?

Differences in cognitive abilities between young and older adults may be attributed to changes in brain connectivity patterns as a function of age. This study is important because it used data from a large cohort of participants from the publicly-available Cam-CAN brain imaging database to expand on our current understanding of brain connectivity as a function of healthy aging.


Even though most of past studies have focused on how neural connectivity differences are related to how well younger and older adults do on different cognitive tasks, what makes this study unique is that in this paper we turned the question on its head, so to speak, and we asked: can we use patterns of brain connectivity when people are not doing any tasks to predict their age? Our results offer a perspective on this question that has not been presented exactly like this in prior literature.

Dr. Evangelia G. Chrysikou
Drexel University, Department of Psychological & Brain Sciences

Read the Original

This page is a summary of: Large-scale network connectivity as a predictor of age: Evidence across the adult lifespan from the Cam-CAN data set., Psychology and Aging, May 2022, American Psychological Association (APA),
DOI: 10.1037/pag0000683.
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