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Distributed brain sites for the g-factor of intelligence
The general factor of intelligence ( g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve g. Here, regional brain volumes associated with g are investigated by m...
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| Published in: | NeuroImage (Orlando, Fla.) Fla.), 2006-07, Vol.31 (3), p.1359-1365 |
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| container_title | NeuroImage (Orlando, Fla.) |
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| creator | Colom, Roberto Jung, Rex E. Haier, Richard J. |
| description | The general factor of intelligence (
g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve
g. Here, regional brain volumes associated with
g are investigated by means of structural magnetic resonance imaging and voxel-based morphometry. First, individual differences in the amount of regional gray matter volumes across the entire brain were correlated with eight cognitive tests showing distinguishable
g-involvement. Results show that increasing
g-involvement of individual tests was associated with increased gray matter volume throughout the brain. Second, it is shown that two prototypical measures of verbal and non-verbal
g (i.e., vocabulary and block design) correlate with the amount of regional gray matter across frontal, parietal, temporal, and occipital lobes, suggesting that the general factor of intelligence relates to areas distributed across the brain as opposed to the view that
g derives exclusively from the frontal lobes. |
| doi_str_mv | 10.1016/j.neuroimage.2006.01.006 |
| format | article |
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g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve
g. Here, regional brain volumes associated with
g are investigated by means of structural magnetic resonance imaging and voxel-based morphometry. First, individual differences in the amount of regional gray matter volumes across the entire brain were correlated with eight cognitive tests showing distinguishable
g-involvement. Results show that increasing
g-involvement of individual tests was associated with increased gray matter volume throughout the brain. Second, it is shown that two prototypical measures of verbal and non-verbal
g (i.e., vocabulary and block design) correlate with the amount of regional gray matter across frontal, parietal, temporal, and occipital lobes, suggesting that the general factor of intelligence relates to areas distributed across the brain as opposed to the view that
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g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve
g. Here, regional brain volumes associated with
g are investigated by means of structural magnetic resonance imaging and voxel-based morphometry. First, individual differences in the amount of regional gray matter volumes across the entire brain were correlated with eight cognitive tests showing distinguishable
g-involvement. Results show that increasing
g-involvement of individual tests was associated with increased gray matter volume throughout the brain. Second, it is shown that two prototypical measures of verbal and non-verbal
g (i.e., vocabulary and block design) correlate with the amount of regional gray matter across frontal, parietal, temporal, and occipital lobes, suggesting that the general factor of intelligence relates to areas distributed across the brain as opposed to the view that
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g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve
g. Here, regional brain volumes associated with
g are investigated by means of structural magnetic resonance imaging and voxel-based morphometry. First, individual differences in the amount of regional gray matter volumes across the entire brain were correlated with eight cognitive tests showing distinguishable
g-involvement. Results show that increasing
g-involvement of individual tests was associated with increased gray matter volume throughout the brain. Second, it is shown that two prototypical measures of verbal and non-verbal
g (i.e., vocabulary and block design) correlate with the amount of regional gray matter across frontal, parietal, temporal, and occipital lobes, suggesting that the general factor of intelligence relates to areas distributed across the brain as opposed to the view that
g derives exclusively from the frontal lobes.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>16513370</pmid><doi>10.1016/j.neuroimage.2006.01.006</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1053-8119 |
| ispartof | NeuroImage (Orlando, Fla.), 2006-07, Vol.31 (3), p.1359-1365 |
| issn | 1053-8119 1095-9572 |
| language | eng |
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| source | ScienceDirect Freedom Collection 2022-2024 |
| subjects | Adolescent Adult Age Aged Aged, 80 and over Brain Brain - anatomy & histology Cerebral Cortex - anatomy & histology Cognitive ability Dominance, Cerebral - physiology Factor Analysis, Statistical Female g-factor General intelligence Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Intelligence - physiology Intelligence tests Magnetic Resonance Imaging Magnetic resonance imaging (MRI) Male Mathematical Computing Middle Aged Psychometrics - statistics & numerical data Statistical analysis Statistical methods Statistics as Topic Studies Voxel-based morphometry (VBM) Wechsler Adult Intelligence Scale (WAIS) Wechsler Scales - statistics & numerical data |
| title | Distributed brain sites for the g-factor of intelligence |
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