Characteristics of Waveform Shape in Parkinson's Disease Detected with Scalp Electroencephalography
Characteristics of Waveform Shape in Parkinson's Disease Detected with Scalp Electroencephalography
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DOI：
10.1523/eneuro.0151-19.2019
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发表时间：
2019-05-01
期刊：
影响因子：
3.4
通讯作者：
Swann, Nicole C.
中科院分区：
文献类型：
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作者：
Jackson, Nicko;Cole, Scott R.;Swann, Nicole C.
帕金森病 (PD) 中 β 频率范围 (13-30 Hz) 的神经活动过度同步。先前使用侵入性颅内记录和非侵入性头皮脑电图 (EEG) 的工作表明，β 相和宽带伽马 (>50 Hz) 振幅 [即相位振幅耦合 (PAC)] 之间的相关性在 PD 中升高，这可能是这种同步性的反映。最近，在侵入性人类录音中还表明，β 振荡形状的非正弦特征也是 PD 的特征。在这里，我们使用 15 名 PD 患者静息头皮脑电图的非侵入性记录数据表明，β 波形形状的这些特征也可以区分用药和停药的 PD 患者。具体来说，与用药期间相比，未用药的 PD 患者感觉运动电极上的 β 振荡具有更大的锐度不对称性和陡度不对称性（符号等级，p < 0.02，已校正）。我们还表明，感觉运动皮层的β振荡通常具有规范形状，并且使用这种原型形状作为纳入标准增加了我们研究结果的效应大小。总之，我们的研究结果表明，结合波形形状测量 β 同步性的新方法可以改善非侵入性记录中 PD 病理生理学的检测。此外，它们激发了未来脑电图研究中对波形形状的考虑。
Neural activity in the beta frequency range (13-30 Hz) is excessively synchronized in Parkinson's disease (PD). Previous work using invasive intracranial recordings and non-invasive scalp electroencephalography (EEG) has shown that correlations between beta phase and broad-band gamma (>50 Hz) amplitude [i.e., phase amplitude coupling (PAC)] are elevated in PD, perhaps a reflection of this synchrony. Recently, it has also been shown, in invasive human recordings, that non-sinusoidal features of beta oscillation shape also characterize PD. Here, we show that these features of beta waveform shape also distinguish PD patients on and off medication using non-invasive recordings in a dataset of 15 PD patients with resting scalp EEG. Specifically, beta oscillations over sensorimotor electrodes in PD patients off medication had greater sharpness asymmetry and steepness asymmetry than on medication (sign rank, p < 0.02, corrected). We also showed that beta oscillations over sensorimotor cortex most often had a canonical shape, and that using this prototypical shape as an inclusion criteria increased the effect size of our findings. Together, our findings suggest that novel ways of measuring beta synchrony that incorporate waveform shape could improve detection of PD pathophysiology in non-invasive recordings. Moreover, they motivate the consideration of waveform shape in future EEG studies.