Lateral prefrontal cortex contributes to fluid intelligence through multinetwork connectivity

Michael W. Cole, Takuya Ito, Todd S. Braver

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

Our ability to effectively adapt to novel circumstances - as measured by general fluid intelligence - has recently been tied to the global connectivity of lateral prefrontal cortex (LPFC). Global connectivity is a broad measure that summarizes both within-network connectivity and across-network connectivity. We used additional graph theoretical measures to better characterize the nature of LPFC connectivity and its relationship with fluid intelligence. We specifically hypothesized that LPFC is a connector hub with an across-network connectivity that contributes to fluid intelligence independent of within-network connectivity. We verified that LPFC was in the top 10% of brain regions in terms of across-network connectivity, suggesting it is a strong connector hub. Importantly, we found that the LPFC across-network connectivity predicted individuals' fluid intelligence and this correlation remained statistically significant when controlling for global connectivity (which includes within-network connectivity). This supports the conclusion that across-network connectivity independently contributes to the relationship between LPFC connectivity and intelligence. These results suggest that LPFC contributes to fluid intelligence by being a connector hub with a truly global multisystem connectivity throughout the brain.

Original languageEnglish
Pages (from-to)497-504
Number of pages8
JournalBrain connectivity
Volume5
Issue number8
DOIs
StatePublished - Oct 1 2015

Keywords

  • fMRI
  • functional connectivity
  • graph theory
  • individual differences
  • intelligence
  • prefrontal cortex
  • resting-state functional connectivity

Fingerprint

Dive into the research topics of 'Lateral prefrontal cortex contributes to fluid intelligence through multinetwork connectivity'. Together they form a unique fingerprint.

Cite this