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[An empirical study on the behavior of motor imagery based on mental rotation].
Zhou, Huilin; Zuo, Guokun; Wan, Xiaoping; Xu, Jialin.
Afiliação
  • Zhou H; Xiangya Hospital, Central South University, Changsha 410008, P.R.China;Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, P.R.China.
  • Zuo G; Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, P.R.China.moonstone@nimte.ac.cn.
  • Wan X; Xiangya Hospital, Central South University, Changsha 410008, P.R.China.
  • Xu J; Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, P.R.China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 34(2): 173-179, 2017 04 25.
Article em Zh | MEDLINE | ID: mdl-29745570
Mental rotation cognitive tasks based on motor imagery (MI) have excellent predictability for individual's motor imagery ability. In order to explore the relationship between motor imagery and behavioral data, in this study, we asked 10 right-handed male subjects to participate in the experiments of mental rotation tasks based on corresponding body parts pictures, and we therefore obtained the behavioral effects according to their reaction time (RT) and accuracy (ACC). Later on, we performed Pearson correlation analysis between the behavioral data and the scores of the Movement Imagery Questionnaire-Revised(MIQ-R). For each subject, the results showed significant angular and body location effect in the process of mental rotation. For all subjects, the results showed that there were correlations between the behavioral data and the scores of MIQ-R. Subjects who needed the longer reaction time represented lower motor imagery abilities in the same test, and vice versa. This research laid the foundation for the further study on brain electrophysiology in the process of mental rotation based on MI.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Ano de publicação: 2017 Tipo de documento: Article