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Gray matter correlates of cognitive ability tests used for vocational guidance

Richard J Haier1*, David H Schroeder2, Cheuk Tang3, Kevin Head4 and Roberto Colom5

Author Affiliations

1 University of California, School of Medicine (Emeritus), Irvine CA, USA

2 Johnson O'Connor Research Foundation, Chicago IL, USA

3 Mt. Sinai Medical Center, School of Medicine, New York NY, USA

4 University of California, School of Medicine, Irvine CA, USA

5 Universidad Autónoma de Madrid, Spain

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BMC Research Notes 2010, 3:206  doi:10.1186/1756-0500-3-206

Published: 22 July 2010



Individual differences in cognitive abilities provide information that is valuable for vocational guidance, but there is an ongoing debate about the role of ability factors, including general intelligence (g), compared to individual tests. Neuroimaging can help identify brain parameters that may account for individual differences in both factors and tests. Here we investigate how eight tests used in vocational guidance correlate to regional gray matter. We compare brain networks identified by using scores for ability factors (general and specific) to those identified by using individual tests to determine whether these relatively broad and narrow approaches yield similar results.


Using MRI and voxel-based morphometry (VBM), we correlated gray matter with independent ability factors (general intelligence, speed of reasoning, numerical, spatial, memory) and individual test scores from a battery of cognitive tests completed by 40 individuals seeking vocational guidance. Patterns of gray matter correlations differed between group ability factors and individual tests. Moreover, tests within the same factor showed qualitatively different brain correlates to some degree.


The psychometric factor structure of cognitive tests can help identify brain networks related to cognitive abilities beyond a general intelligence factor (g). Correlates of individual ability tests with gray matter, however, appear to have some differences from the correlates for group factors.