Distributed neural system for general intelligence revealed by lesion mapping

J Gläscher; D Rudrauf; R Colom; L. K Paul; D Tranel; H Damasio; R Adolphs

doi:10.1073/pnas.0910397107

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Distributed neural system for general intelligence revealed by lesion mapping

Journal article

Open access

Peer reviewed

Distributed neural system for general intelligence revealed by lesion mapping

J Gläscher, D Rudrauf, R Colom, L. K Paul, D Tranel, H Damasio and R Adolphs

Proceedings of the National Academy of Sciences - PNAS, Vol.107(10), pp.4705-4709

03/09/2010

DOI: 10.1073/pnas.0910397107

PMCID: PMC2842050

PMID: 20176936

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Abstract

General intelligence ( g ) captures the performance variance shared across cognitive tasks and correlates with real-world success. Yet it remains debated whether g reflects the combined performance of brain systems involved in these tasks or draws on specialized systems mediating their interactions. Here we investigated the neural substrates of g in 241 patients with focal brain damage using voxel-based lesion–symptom mapping. A hierarchical factor analysis across multiple cognitive tasks was used to derive a robust measure of g . Statistically significant associations were found between g and damage to a remarkably circumscribed albeit distributed network in frontal and parietal cortex, critically including white matter association tracts and frontopolar cortex. We suggest that general intelligence draws on connections between regions that integrate verbal, visuospatial, working memory, and executive processes.

Biological Sciences

white matter

lesion patients

Wechsler Adult Intelligence Scale

Social Sciences

voxel-based lesion–symptom mapping

Details

Title: Subtitle: Distributed neural system for general intelligence revealed by lesion mapping
Creators: J Gläscher - University Medical Center Hamburg-Eppendorf
D Rudrauf - University of Iowa
R Colom - Universidad Autonoma de Madrid
L. K Paul - California Institute of Technology
D Tranel - Department of Neurology and
H Damasio - California Institute of Technology
R Adolphs - California Institute of Technology
Resource Type: Journal article
Publication Details: Proceedings of the National Academy of Sciences - PNAS, Vol.107(10), pp.4705-4709
DOI: 10.1073/pnas.0910397107
PMID: 20176936
PMCID: PMC2842050
NLM abbreviation: Proc Natl Acad Sci U S A
ISSN: 0027-8424
eISSN: 1091-6490
Publisher: National Academy of Sciences
Language: English
Date published: 03/09/2010
Academic Unit: Neurology; Psychological and Brain Sciences; Iowa Neuroscience Institute
Record Identifier: 9984001102702771

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