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The impact of neurofeedback on effective connectivity networks in chronic stroke patients: an exploratory study.

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第一作者： Lioi,Giulia

第一单位： Univ Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France.;IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, F-29238, France.

作者： Lioi,Giulia ^[1] ; Veliz,Adolfo ^[2] ; Coloigner,Julie ^[2] ; Duché,Quentin ^[3] ; Butet,Simon ^[4] ; Mathis,Fleury ^[2] ; Emilie,Leveque-Le Bars ^[4] ; Elise,Bannier ^[5] ; Anatole,Lécuyer ^[2] ; Christian,Barillot ^[2] ; Isabelle,Bonan ^[4]

作者单位： Univ Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France.;IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, F-29238, France. ^[1] Univ Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France. ^[2] Univ Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France.;Department of Physical and Rehabilitation Medicine, CHU Rennes, Rennes, France. ^[3] Department of Physical and Rehabilitation Medicine, CHU Rennes, Rennes, France. ^[4] Univ Rennes, Inria, CNRS, Inserm, IRISA, Rennes, France.;Department of Radiology, CHU Rennes, Rennes, France. ^[5]

关键词 dynamic causal modeling effective connectivity fMRI neurofeedback stroke rehabilitation

医学主题词贝叶斯定理(Bayes Theorem);人类(Humans);磁共振成像(Magnetic Resonance Imaging);运动皮质(Motor Cortex);神经反馈(Neurofeedback);卒中(Stroke)

DOI 10.1088/1741-2552/ac291e

PMID 34551403

发布时间 2021-10-21

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