Publication

Volume of motor area predicts motor impulsivity

Ai, H., Xin, Y., Luo, Y., Gu, R. & Xu, P., Jun-2019, In : European Journal of Neuroscience. 49, 11, p. 1470-1476 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Copy link to clipboard

Documents

  • Volume of motor area predicts motor impulsivity

    Final publisher's version, 647 KB, PDF-document

    Request copy

DOI

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. In the present study, we examined the neuroanatomical basis of the multidimensional impulsivity trait. Eighty-four healthy participants 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 the decrease in motor impulsiveness control. Our findings provide insights into the predictive role of motor brain structures in motor impulsivity and inhibition control.

Original languageEnglish
Pages (from-to)1470-1476
Number of pages7
JournalEuropean Journal of Neuroscience
Volume49
Issue number11
Publication statusPublished - Jun-2019

    Keywords

  • brain volume, motor impulsiveness, prediction analysis, FUNCTIONAL CONNECTIVITY, INDIVIDUAL-DIFFERENCES, NEURAL BASIS, SCALE, EXTENT
Related Datasets
  1. Dataset: Volume of motor area predicts motor impulsivity

    Ai, H. (Creator), Xin, Y. (Creator), Luo, Y. (Creator), Gu, R. (Creator), Xu, P. (Creator), University of Groningen, 27-Nov-2018

    Dataset

View all (1) »

View graph of relations

ID: 93535215