School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, 80045, USA.
Department of Neurology, University of Colorado, Anschutz Medical Campus, Aurora, CO, 80045, USA.
Parkinsonism Relat Disord. 2020 Sep;78:158-164. doi: 10.1016/j.parkreldis.2020.06.034. Epub 2020 Jul 28.
To identify areas of brain activity associated with involuntary muscle contractions in patients with blepharospasm using functional MRI.
15 patients with blepharospasm underwent 8-min resting state scans with spontaneous orbicularis oculi muscle contractions simultaneously recorded using MRI-compatible surface electromyography. Spasm severity and spasm onset/offset were modeled using the amplitude of the electromyography signal (EMG-Amp) and its first temporal derivative (EMG-Onset), respectively, and included in a multiple regression functional MRI analysis using SPM12. Primary outcome was within-group blood-oxygen-level dependent activations that co-varied with EMG-Amp and EMG-Onset following correction for multiple comparisons for an overall cluster corrected p < 0.05. Secondary analyses included testing for correlations between imaging findings and symptom severity, as measured by clinical dystonia rating scales, using an uncorrected voxel-level threshold of p < 0.001.
Imaging data from one subject were excluded due to excessive movement. EMG-Amp co-activated within the left sensorimotor cortex and cerebellum, as well as right lingual gyrus and superior temporal gyrus. EMG-Onset co-activated within the left posterior putamen/pallidum and a frontal eye field region in the left superior frontal gyrus. Symptom severity and EMG-Amp significantly co-varied in a small cluster within the left cerebellum.
Our preliminary findings here suggest that cerebello-cortical circuits in blepharospasm could drive the intensity of eyelid spasms while basal ganglia circuits are associated with the triggering of spasms. This supports the network model for dystonia and identifies specific areas of involvement consistent with known brain regions responsible for control of movement.
使用功能磁共振成像(fMRI)识别眼睑痉挛患者的不自觉肌肉收缩相关的大脑活动区域。
15 例眼睑痉挛患者在进行 8 分钟的静息状态扫描的同时,使用 MRI 兼容的表面肌电图同步记录眼轮匝肌自发性收缩。痉挛严重程度和痉挛开始/结束分别使用肌电图信号的幅度(EMG-Amp)及其一阶时间导数(EMG-Onset)进行建模,并在 SPM12 中使用多回归功能磁共振成像分析进行分析。主要结果是与 EMG-Amp 和 EMG-Onset 相关的组内血氧水平依赖激活,在对总体簇校正的 p<0.05 进行多重比较校正后。二次分析包括使用未校正的体素水平阈值 p<0.001 测试影像学发现与症状严重程度之间的相关性,症状严重程度由临床肌张力评定量表测量。
由于运动过度,一名受试者的影像学数据被排除在外。EMG-Amp 在左侧感觉运动皮层和小脑,以及右侧舌回和颞上回中共同激活。EMG-Onset 在左侧后壳核/苍白球和左侧额上回的额眼区共同激活。症状严重程度和 EMG-Amp 在左侧小脑的一个小簇中显著相关。
我们的初步发现表明,眼睑痉挛中的小脑皮质回路可能会驱动眼睑痉挛的强度,而基底节回路与痉挛的触发有关。这支持了肌张力障碍的网络模型,并确定了与已知负责运动控制的大脑区域一致的特定参与区域。