Citation

Ai H, Xin Y, Luo Y, Gu R, Xu P. Eur. J. Neurosci. 2019; 49(11): 1470-1476.

Affiliation

Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 518057, China.

Copyright

(Copyright © 2019, Federation of European Neuroscience Societies, Publisher John Wiley and Sons)

DOI

10.1111/ejn.14339

PMID

30636081

Abstract

Impulsivity is a personality trait associated with many maladaptive behaviors. Trait impulsivity is typically divided into three different dimensions, including attentional impulsiveness, motor impulsiveness, and non-planning impulsiveness. The present work aimed to investigate the neuroanatomical basis of the multidimensional impulsivity trait. Eighty-four healthy subjects were studied with structural magnetic resonance imaging. Multiple regression analyses revealed that the score of motor impulsiveness was negatively correlated with gray matter volumes of the right supplementary motor area and paracentral lobule. A machine-learning based prediction analysis indicated that decreased gray matter volumes of the supplementary motor area and paracentral lobule strongly predicted deficits in motor impulsiveness control. Our findings provide insights into the predictive role of motor brain structures in motor impulsivity and inhibition control. This article is protected by copyright. All rights reserved.

This article is protected by copyright. All rights reserved.

Language: en

Keywords

brain volume; motor impulsiveness; prediction analysis