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.
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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