Franceschetti Silvana, Canafoglia Laura, Rotondi Fabio, Visani Elisa, Granvillano Alice, Panzica Ferruccio
Department of Neurophysiology, Epilepsy Centre, C. Besta Neurological Institute IRCCS Foundation, Via Celoria 11, 20133, Milan, Italy.
Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Genova, Italy.
BMC Neurol. 2016 Nov 7;16(1):214. doi: 10.1186/s12883-016-0738-5.
To explore the cortical network sustaining action myoclonus and to found markers of the resulting functional impairment, we evaluated the distribution of the cortico-muscular coherence (CMC) and the frequency of coherent cortical oscillations with magnetoencephalography (MEG). All patients had EPM1 (Unverricht-Lundborg) disease known to present with prominent and disabling movement-activated myoclonus.
Using autoregressive models, we evaluated CMC on MEG sensors grouped in regions of interests (ROIs) above the main cortical areas. The movement was a repeated sustained isometric extension of the right hand and right foot. We compared the data obtained in 10 EPM1 patients with those obtained in 10 age-matched controls.
As expected, CMC in beta band was significantly higher in EPM1 patients compared to controls in the ROIs exploring the sensorimotor cortex, but, it was also significantly higher in adjacent ROIs ipsilateral and contralateral to the activated limb. Moreover, the beta-CMC peak occurred at frequencies significantly slower and more stable frequencies in EPM1 patients with respect to controls. The frequency of the beta-CMC peak inversely correlated with the severity of myoclonus.
the high and spatially extended beta-CMC peaking in a restricted range of low-beta frequencies in EPM1 patients, suggest that action myoclonus may result not only from an enhanced local synchronization but also from a specific oscillatory activity involving an expanded neuronal pool. The significant relationship between beta-CMC peak frequency and the severity of the motor impairment can represent a useful neurophysiological marker for the patients' evaluation and follow-up.
为了探索维持动作性肌阵挛的皮质网络并找出由此导致的功能损害的标志物,我们采用脑磁图(MEG)评估了皮质-肌肉相干性(CMC)的分布以及相干皮质振荡的频率。所有患者均患有已知会出现显著且致残的运动诱发性肌阵挛的EPM1(Unverricht-Lundborg)病。
我们使用自回归模型,在主要皮质区域上方的感兴趣区域(ROI)中对MEG传感器分组评估CMC。运动为右手和右脚的重复持续等长伸展。我们将10例EPM1患者的数据与10例年龄匹配的对照者的数据进行了比较。
正如预期的那样,在探索感觉运动皮质的ROI中,EPM1患者的β波段CMC显著高于对照组,但在激活肢体同侧和对侧的相邻ROI中也显著更高。此外,与对照组相比,EPM1患者的β-CMC峰值出现在频率显著更慢且更稳定的频率上。β-CMC峰值频率与肌阵挛的严重程度呈负相关。
EPM1患者在低β频率的受限范围内出现高且在空间上扩展的β-CMC峰值,这表明动作性肌阵挛可能不仅源于局部同步增强,还源于涉及扩大神经元池的特定振荡活动。β-CMC峰值频率与运动障碍严重程度之间的显著关系可代表用于患者评估和随访的有用神经生理标志物。