关键词: PFPS prediction functional connectivity multivariate pattern analysis support vector machine surface-based mass-univariate analysis

Mesh : Humans Magnetic Resonance Imaging / methods Facial Paralysis / physiopathology diagnostic imaging complications Male Female Synkinesis / physiopathology Adult Middle Aged Young Adult Facial Expression Biomarkers Motor Cortex / physiopathology diagnostic imaging Brain Mapping Somatosensory Cortex / diagnostic imaging physiopathology Brain / diagnostic imaging physiopathology Support Vector Machine

来  源:   DOI:10.1093/cercor/bhae184

Abstract:
Facial palsy can result in a serious complication known as facial synkinesis, causing both physical and psychological harm to the patients. There is growing evidence that patients with facial synkinesis have brain abnormalities, but the brain mechanisms and underlying imaging biomarkers remain unclear. Here, we employed functional magnetic resonance imaging (fMRI) to investigate brain function in 31 unilateral post facial palsy synkinesis patients and 25 healthy controls during different facial expression movements and at rest. Combining surface-based mass-univariate analysis and multivariate pattern analysis, we identified diffused activation and intrinsic connection patterns in the primary motor cortex and the somatosensory cortex on the patient\'s affected side. Further, we classified post facial palsy synkinesis patients from healthy subjects with favorable accuracy using the support vector machine based on both task-related and resting-state functional magnetic resonance imaging data. Together, these findings indicate the potential of the identified functional reorganizations to serve as neuroimaging biomarkers for facial synkinesis diagnosis.
摘要:
面神经麻痹会导致一种严重的并发症,称为面部联合运动,对患者造成身体和心理上的伤害。越来越多的证据表明面部运动综合征患者有大脑异常,但脑机制和潜在的影像学生物标志物仍不清楚.这里,我们采用功能磁共振成像(fMRI)研究了31例单侧面神经麻痹后运动综合征患者和25例健康对照者在不同的面部表情运动和休息时的脑功能。结合基于表面的质量单变量分析和多变量模式分析,我们确定了患者患侧初级运动皮层和体感皮层的扩散激活和内在联系模式。Further,我们使用基于任务相关和静息状态功能磁共振成像数据的支持向量机,将面神经麻痹后运动综合征患者与健康受试者进行分类,准确度良好.一起,这些研究结果表明,已确定的功能重组有可能作为面神经影像学生物标志物用于面神经联合运动诊断.
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