Dataset

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

Description

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.

84 participants (young adults, 41 males), Open Access and restricted files
Date made available27-Nov-2018
PublisherUniversity of Groningen
Geographical coverageChina
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • Neuroscience, motor impulsicity, brain volumes, MRI, MP‐RAGE, Voxel‐based morphometryDARTEL
Related Publications
  1. 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

View all (1) »

View graph of relations

ID: 96093756