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Volume of motor area predicts motor impulsivity
Ai, Hui1; Xin, Yuanyuan1,2; Luo, Yue-jia1,3,4; Gu, Ruolei5,6; Xu, Pengfei1,2,3
通讯作者Gu, Ruolei(gurl@psych.ac.cn) ; Xu, Pengfei(xupf@szu.edu.cn)
摘要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.
关键词brain volume motor impulsiveness prediction analysis
2019-06-01
语种英语
DOI10.1111/ejn.14339
发表期刊EUROPEAN JOURNAL OF NEUROSCIENCE
ISSN0953-816X
卷号49期号:11页码:1470-1476
收录类别SCI ; SCI
资助项目National Natural Science Foundation of China[31500920] ; National Natural Science Foundation of China[31530031] ; National Natural Science Foundation of China[31571124] ; National Natural Science Foundation of China[31671133] ; National Natural Science Foundation of China[31700959] ; National Natural Science Foundation of China[31871137] ; National Natural Science Foundation of China[81471376] ; Shenzhen Peacock Program[827-000235] ; Shenzhen Peacock Program[KQTD2015033016104926] ; Natural Science Foundation of Shenzhen University[8530300000275] ; Zhujiang Talent Project for Postdoctoral researchers, Guangdong young Innovative Talent Project[2016KQNCX149] ; Shenzhen Science and Technology Research Funding Program[JCYJ20170412164413575] ; Shenzhen Science and Technology Research Funding Program[JCYJ20170307155304424]
出版者WILEY
WOS关键词FUNCTIONAL CONNECTIVITY ; INDIVIDUAL-DIFFERENCES ; NEURAL BASIS ; SCALE ; EXTENT
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000477742100009
资助机构National Natural Science Foundation of China ; Shenzhen Peacock Program ; Natural Science Foundation of Shenzhen University ; Zhujiang Talent Project for Postdoctoral researchers, Guangdong young Innovative Talent Project ; Shenzhen Science and Technology Research Funding Program
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/29093
专题社会与工程心理学研究室
通讯作者Gu, Ruolei; Xu, Pengfei
作者单位1.Shenzhen Univ, Ctr Brain Disorders & Cognit Sci, Shenzhen Key Lab Affect & Social Neurosci, Shenzhen, Peoples R China
2.Univ Groningen, Univ Med Ctr Groningen, Dept Neurosci, Groningen, Netherlands
3.Shenzhen Inst Neurosci, Ctr Emot & Brain, Shenzhen, Peoples R China
4.Kunming Univ Sci & Technol, Med Sch, Kunming, Yunnan, Peoples R China
5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
通讯作者单位中国科学院行为科学重点实验室
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Ai, Hui,Xin, Yuanyuan,Luo, Yue-jia,et al. Volume of motor area predicts motor impulsivity[J]. EUROPEAN JOURNAL OF NEUROSCIENCE,2019,49(11):1470-1476.
APA Ai, Hui,Xin, Yuanyuan,Luo, Yue-jia,Gu, Ruolei,&Xu, Pengfei.(2019).Volume of motor area predicts motor impulsivity.EUROPEAN JOURNAL OF NEUROSCIENCE,49(11),1470-1476.
MLA Ai, Hui,et al."Volume of motor area predicts motor impulsivity".EUROPEAN JOURNAL OF NEUROSCIENCE 49.11(2019):1470-1476.
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