• Neuropsychologia · Sep 2014

    Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity.

    • Mingqi Hui, Hang Zhang, Ruiyang Ge, Li Yao, and Zhiying Long.
    • State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Paul C. Lauterbur Research Centers for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
    • Neuropsychologia. 2014 Sep 1; 62: 111-23.

    AbstractAlthough the neurofeedback of real-time fMRI can reportedly enable people to gain control of the activity in the premotor cortex (PMA) during motor imagery, it is unclear how the neurofeedback training of PMA affect the motor network engaged in the motor execution (ME) and imagery (MI) task. In this study, we investigated the changes in the motor network engaged in both ME and MI task induced by real-time neurofeedback training of the right PMA. The neurofeedback training induced changes in activity of the ME-related motor network as well as alterations in the functional connectivity of both the ME-related and MI-related motor networks. Especially, the percent signal change of the right PMA in the last training run was found to be significantly correlated with the connectivity between the right PMA and the left posterior parietal lobe (PPL) during the pre-training MI run, post-training MI run and the last training run. Moreover, the increase in the tapping frequency was significantly correlated with the increase of connectivity between the right cerebellum and the primary motor area/primary sensory area (M1/S1) of the ME-related motor network after neurofeedback training. These findings show the importance of the connectivity between the right PMA and left PPL of the MI network for the up-regulation of the right PMA as well as the critical role of connectivity between the right cerebellum and M1/S1 of the ME network in improving the behavioral performance.Copyright © 2014 Elsevier Ltd. All rights reserved.

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