TY - JOUR
T1 - Gray matter correlates of cognitive ability tests used for vocational guidance
AU - Haier, Richard J.
AU - Schroeder, David H.
AU - Tang, Cheuk
AU - Head, Kevin
AU - Colom, Roberto
N1 - Funding Information:
This project was funded at the Mt. Sinai Medical Center (Cheuk Tang), New York City, by the non-profit Johnson O’Connor Research Foundation (JOCRF). Cheuk Tang and Kevin Head received partial salary support. David Schroeder is an employee of JOCRF and Richard Haier was a paid consultant. The JOCRF did not have any institutional approval or supervisory role in the preparation of the manuscript or the decision to publish. Roberto Colom is funded by grants SEJ-2006-07890 and PR2008-0038 (Ministerio de Ciencia e Innovacion, MICINN).
PY - 2010
Y1 - 2010
N2 - Background. 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. Findings. 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. Conclusions. 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.
AB - Background. 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. Findings. 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. Conclusions. 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.
UR - https://www.scopus.com/pages/publications/77955526504
U2 - 10.1186/1756-0500-3-206
DO - 10.1186/1756-0500-3-206
M3 - Article
AN - SCOPUS:77955526504
SN - 1756-0500
VL - 3
JO - BMC Research Notes
JF - BMC Research Notes
M1 - 206
ER -