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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
Corresponding AuthorGu, Ruolei(gurl@psych.ac.cn) ; Xu, Pengfei(xupf@szu.edu.cn)
2019-06-01
Source PublicationEUROPEAN JOURNAL OF NEUROSCIENCE
ISSN0953-816X
Volume49Issue:11Pages:1470-1476
AbstractImpulsivity 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.
Keywordbrain volume motor impulsiveness prediction analysis
DOI10.1111/ejn.14339
Indexed BySCI ; SCI
Language英语
Funding OrganizationNational 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
Funding ProjectNational 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]
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000477742100009
PublisherWILEY
WOS KeywordFUNCTIONAL CONNECTIVITY ; INDIVIDUAL-DIFFERENCES ; NEURAL BASIS ; SCALE ; EXTENT
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/29093
Collection社会与工程心理学研究室
Corresponding AuthorGu, Ruolei; Xu, Pengfei
Affiliation1.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
Recommended Citation
GB/T 7714
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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