Sanders Teresa H, Devergnas Annaelle, Wichmann Thomas, Clements Mark A
Georgia Institute of Technology, Atlanta, GA.
Yerkes National Primate Research Center; Udall Center of Excellence in Parkinsons Diseases Research.
Int IEEE EMBS Conf Neural Eng. 2013 Nov;2013:158-161. doi: 10.1109/NER.2013.6695896.
In this study, modulation index (MI) features derived from local field potential (LFP) recordings in the subthalamic nucleus (STN) and electroencephalographic recordings (EEGs) from the primary motor cortex are shown to correlate with both the overall motor impairment and motor subscores in a monkey model of parkinsonism. The MI features used are measures of phase-amplitude cross frequency coupling (CFC) between frequency sub-bands. We used complex wavelet transforms to extract six spectral sub-bands within the 3-60 Hz range from LFP and EEG signals. Using the method of canonical correlation, we show that weighted combinations of the MI features in LFP or EEG signals correlate significantly with individual and composite scores on a scale for parkinsonian disability.
在本研究中，从丘脑底核（STN）的局部场电位（LFP）记录以及初级运动皮层的脑电图记录（EEG）中得出的调制指数（MI）特征，在帕金森病猴模型中显示与整体运动障碍和运动子评分均相关。所使用的MI特征是频率子带之间的相位-幅度交叉频率耦合（CFC）的度量。我们使用复小波变换从LFP和EEG信号中提取3 - 60 Hz范围内的六个频谱子带。使用典型相关方法，我们表明LFP或EEG信号中MI特征的加权组合与帕金森病残疾量表上的个体和综合评分显著相关。
