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作者:

Zhou, Jun (Zhou, Jun.) | Zhou, Haiyan (Zhou, Haiyan.) | Li, Chuan (Li, Chuan.) | Guo, JiaLiang (Guo, JiaLiang.) | Yang, Xiaojing (Yang, Xiaojing.) | Long, Zhoujun (Long, Zhoujun.) | Qin, Yulin (Qin, Yulin.) | Zhong, Ning (Zhong, Ning.)

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摘要:

A kind of metacognitive and cognitive activity patterns in the brain have been found in the task state, showing the gradient distribution from abstract to concrete processing in the frontal and parietal cortex especially. In our early study, it is observed that this kind of gradient organization is intrinsic and prepared in the resting state. Learning experience is a process from metacognitive to cognitive processing, which might change the spontaneous activity patterns in the resting brain. This study is to explore how the learning experience, including both long-term practice and short-term task experience, influences the intrinsic gradient organization in the human brain. Focused on the task-evoked metacognitive and cognitive pattern regions, by comparing four resting state data, before and after task performing in Day 1 before practice named pre-pre and pre-post respectively, and before and after task in Day 7 after 5-day's practice, named post-pre and post-post respectively, we investigated the change of gradient organization in the human brain with the approach of functional connectivity (FC) analysis. The result showed that the gradient organization is quite stable across the four resting states, which is similar with our previous finding. Task performance enhanced the correlation between cognitive and mixed functional network, especially after long-time practice, suggesting the key role of cognitive network in the task execution. Moreover, after long practice, the internal connectivity within the metacognitive network and the connection between mixed and cognitive functional network were both weakened, which suggested a functional modulation and separation when task performance became more and more skilled and automatic. © 2014 Springer International Publishing.

关键词:

Brain Medical informatics

作者机构:

  • [ 1 ] [Zhou, Jun]International WIC Institute, Beijing University of Technology, China
  • [ 2 ] [Zhou, Jun]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 3 ] [Zhou, Haiyan]International WIC Institute, Beijing University of Technology, China
  • [ 4 ] [Zhou, Haiyan]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 5 ] [Li, Chuan]International WIC Institute, Beijing University of Technology, China
  • [ 6 ] [Li, Chuan]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 7 ] [Guo, JiaLiang]International WIC Institute, Beijing University of Technology, China
  • [ 8 ] [Guo, JiaLiang]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 9 ] [Yang, Xiaojing]International WIC Institute, Beijing University of Technology, China
  • [ 10 ] [Yang, Xiaojing]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 11 ] [Long, Zhoujun]International WIC Institute, Beijing University of Technology, China
  • [ 12 ] [Long, Zhoujun]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 13 ] [Qin, Yulin]International WIC Institute, Beijing University of Technology, China
  • [ 14 ] [Qin, Yulin]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 15 ] [Qin, Yulin]Dept. of Psychology, Carnegie Mellon University, United States
  • [ 16 ] [Zhong, Ning]International WIC Institute, Beijing University of Technology, China
  • [ 17 ] [Zhong, Ning]Beijing Key Laboratory of MRI and Brain Informatics, China
  • [ 18 ] [Zhong, Ning]Dept. of Life Science and Informatics, Maebashi Institute of Technology, Japan

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ISSN: 0302-9743

年份: 2014

卷: 8609 LNAI

页码: 493-501

语种: 英文

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