Age-related changes of node degree in the multiple-demand network predict fluid intelligence.

ABSTRACT: Fluid intelligence is an individual's innate ability to cope with complex situations and is gradually reduced across adults aging. The realization of fluid intelligence requires the simultaneous activity of multiple brain regions and depends on the structural connection of distributed brain regions. Uncovering the structural features of brain connections associated with fluid intelligence decline will provide reference for the development of intervention and treatment programs for cognitive decline. Using structural magnetic resonance imaging data of 454 healthy participants (18-87 years) from the Cam-CAN dataset, we constructed structural similarity network for each participant and calculated the node degree. Spearman correlation analysis showed that age was positively correlated with deg

SUBMITTER: Yu L 

PROVIDER: S-EPMC11409069 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature