Functional connectivity alteration after real-time fMRI motor imagery training through self-regulation of activities of the right premotor cortex.
BACKGROUND
Real-time functional magnetic resonance imaging technology (real-time fMRI) is a novel method that can be used to investigate motor imagery training, it has attracted increasing attention in recent years, due to its ability to facilitate subjects in regulating the activities of specific brain regions to influence their behaviors. Lots of researchers have demonstrated that the right premotor area play critical roles during real-time fMRI motor imagery training. Thus, it has been hypothesized that modulating the activity of right premotor area may result in an alteration of the functional connectivity between the premotor area and other motor-related regions.


RESULTS
The results indicated that the functional connectivity between the bilateral premotor area and right posterior parietal lobe significantly decreased during the imagination task.


CONCLUSIONS
This finding is new evidence that real-time fMRI is effective and can provide a theoretical guidance for the alteration of the motor function of brain regions associated with motor imagery training.
College of Information Science and Technology, Beijing Normal University, No. 19 Xin Jie Kou Wai Da Jie, 100875, Beijing, China. whutxiefufang@163.com.
Fufang
F
Xie
College of Information Science and Technology, Beijing Normal University, No. 19 Xin Jie Kou Wai Da Jie, 100875, Beijing, China. joyce90.xu@foxmail.com.
Lele
L
Xu
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875, Beijing, China. zlong@bnu.edu.cn.
Zhiying
Z
Long
College of Information Science and Technology, Beijing Normal University, No. 19 Xin Jie Kou Wai Da Jie, 100875, Beijing, China. yaoli@bnu.edu.cn.|State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875, Beijing, China. yaoli@bnu.edu.cn.|Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, 100875, Beijing, China. yaoli@bnu.edu.cn.
Li
L
Yao
College of Information Science and Technology, Beijing Normal University, No. 19 Xin Jie Kou Wai Da Jie, 100875, Beijing, China. wuxia@bnu.edu.cn.|State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875, Beijing, China. wuxia@bnu.edu.cn.|Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, 100875, Beijing, China. wuxia@bnu.edu.cn.|State Key Laboratories of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China. wuxia@bnu.edu.cn.
Xia
X
Wu
D001931:Brain Mapping; D005260:Female; D005385:Fingers / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D009044:Motor Cortex / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D058765:Neurofeedback / Q000379:methods / Q000502:physiology*; D009473:Neuronal Plasticity / Q000502:physiology; D010296:Parietal Lobe / Q000502:physiology*; D011214:Practice, Psychological; D011597:Psychomotor Performance / Q000502:physiology*; D011795:Surveys and Questionnaires; D013997:Time Factors; D055815:Young Adult