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Published on: August 7, 2017
Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a
Hikaru Takeuchi1, Yasuyuki Taki2,3,4, Rui Nouchi5,6,7
1Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan. takehi@idac.tohoku.ac.jp.
Complex cognitive abilities (CCAs) show weak positive associations with regional gray matter volume (rGMV) across widespread brain regions. These subtle links, particularly for tasks beyond non-verbal reasoning, explain varied findings in neuroscience research.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Neuroimaging
Background:
- Investigating neural underpinnings of individual differences in complex cognitive abilities (CCAs) often involves correlating regional gray matter volume (rGMV) with psychometric scores.
- Previous studies have reported inconsistent brain region correlates for the same CCA, suggesting a need for re-evaluation.
Purpose of the Study:
- To test the hypothesis that diverse CCAs are weakly associated with rGMV in widespread brain areas.
- To explore the relationship between rGMV and performance across multiple CCAs in a large sample of healthy young adults.
Main Methods:
- Utilized neuroimaging data from a large cohort (N=1336) of healthy young adults.
- Assessed associations between regional gray matter volume (rGMV) and scores on various complex cognitive ability tasks, including non-verbal reasoning, verbal working memory, Stroop interference, and spatial processing speed.
- Employed stringent statistical corrections for multiple comparisons.
Main Results:
- Better performance on most CCAs (excluding non-verbal reasoning) correlated positively with greater rGMV in widespread brain regions.
- Effect sizes for individual associations between rGMV and CCA performance were generally small.
- Findings were consistent with prior research indicating low correlations.
Conclusions:
- The weak and widespread nature of rGMV associations with CCAs may explain the heterogeneity of findings in the field.
- Lack of strong, localized correlations, coupled with rigorous statistical methods, contributes to diverse research outcomes.
- Future research should consider the subtle and distributed neural correlates of complex cognition.
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