2010
DOI: 10.1016/j.neuroimage.2010.02.078
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Regional gray matter volume of dopaminergic system associate with creativity: Evidence from voxel-based morphometry

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Cited by 227 publications
(232 citation statements)
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References 78 publications
(100 reference statements)
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“…Default parameter settings were used (Gaser, 2007). To reduce the scanner-specific bias, we used a customized GM anatomical template and prior probability maps of gray and white matter images created from the T1-weighted structural images taken in our scanner in a previous study (Takeuchi et al, 2010c). Next, the T1-weighted structural images of each subject were segmented into gray and white matter partitions using the new gray and white matter prior probability maps.…”
Section: Methodsmentioning
confidence: 99%
“…Default parameter settings were used (Gaser, 2007). To reduce the scanner-specific bias, we used a customized GM anatomical template and prior probability maps of gray and white matter images created from the T1-weighted structural images taken in our scanner in a previous study (Takeuchi et al, 2010c). Next, the T1-weighted structural images of each subject were segmented into gray and white matter partitions using the new gray and white matter prior probability maps.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, the right angular gyrus was associated positively with CAQ score whereas the left lateral orbitofrontal gyrus was associated negatively with the CAQ score. Takeuchi et al (2010b) also found positive correlations between regional gray matter volume (rGMV) and individual creativity (as assessed by S-A creativity test) in the right dorsolateral PFC (DLPFC), bilateral precuneus, bilateral caudate and right midbrain regions using voxel-based morphometry (VBM). Gansler et al (2011) subsequently found that creative performance on the figural TTCT to be positively related to the gray matter volume (GMV) of the right parietal lobe gray matter, which might be related to global attention and visuo-spatial processing.…”
Section: Introductionmentioning
confidence: 94%
“…Searching for structural brain-behavior correlation with this approach is often performed by introducing several regressors (or predictors) in addition to the behavioral measure of interest (X) in the design matrix, such as age, gender, TBV, and a behavioral measure of general cognitive functioning (e.g. (Takeuchi et al 2010(Takeuchi et al , 2013Genon et al 2014)). …”
Section: Limitations Of the Voi Approachmentioning
confidence: 99%