Language
English
Publication Date
5-1-2025
Journal
Brain & Behavior Research
DOI
10.1002/brb3.70531
PMID
40356302
PMCID
PMC12069858
PubMedCentral® Posted Date
5-12-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Introduction: A growing number of studies implicate functional brain networks in intelligence, but it is unclear if network nodal structure relates to intelligence.
Methods: Using MRI, we studied the relationship of the general intelligence factor (g) with cortical thickness (CT), local gyrification index (LGI), and voxel-based morphometry in the nodes of the default mode network (DMN) and task-positive network (TPN) in a cohort of 44 young, healthy adults. Employing a novel strategy, we performed repeated analyses with multiple sets of g estimates to remove false positives.
Results: CT and LGI in medial and temporal nodes of the DMN were reliably correlated with g (p < 0.05; Pearson's coefficient: ‑0.52 to ‑0.25 and 0.22 to 0.41, respectively). Linear regression models were developed with these parameters to estimate individual g scores, with a median adj. R2 of 0.25.
Conclusion: Cortical thickness and gyrification in key nodes of the Default Mode Network correlate with intelligence. Linear regression models with these cortical parameters may provide an estimate of the g factor.
Keywords
Humans, Male, Intelligence, Female, Magnetic Resonance Imaging, Adult, Cerebral Cortex, Young Adult, Default Mode Network, Nerve Net, cortical thickness. default mode network. general intelligence. local gyrification index
Published Open-Access
yes
Recommended Citation
, "Cortical Structure in Nodes of the Default Mode Network Estimates General Intelligence" (2025). Faculty, Staff and Students Publications. 5281.
https://digitalcommons.library.tmc.edu/baylor_docs/5281