Objective. Identifying neural activity biomarkers of brain disease is essential to provide objective estimates of disease burden, obtain reliable feedback regarding therapeutic efficacy, and potentially to serve as a source of control for closed-loop neuromodulation. In Parkinson’s disease (PD), microelectrode recordings (MER) are routinely performed in the basal ganglia to guide electrode implantation for deep brain stimulation (DBS). While pathologically-excessive oscillatory activity has been observed and linked to PD motor dysfunction broadly, the extent to which these signals provide quantitative information about disease expression and fluctuations, particularly at short timescales, is unknown. Furthermore, the degree to which informative signal features are similar or different across patients has not been rigorously investigated. We sought to determine the extent to which motor error in PD across patients can be decoded on a rapid timescale using spectral feature...

中文翻译：

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快速运动波动揭示了帕金森病的短时间尺度神经生理学生物标志物。

客观的。识别脑疾病的神经活动生物标志物对于提供疾病负担的客观估计、获得有关治疗效果的可靠反馈以及可能作为闭环神经调节的控制来源至关重要。在帕金森病 (PD) 中，通常在基底神经节中进行微电极记录 (MER)，以引导电极植入以进行深部脑刺激 (DBS)。虽然已经观察到病理性过度振荡活动并广泛与 PD 运动功能障碍有关，但这些信号在多大程度上提供有关疾病表达和波动的定量信息，特别是在短时间内，尚不清楚。此外，尚未严格研究患者之间信息信号特征相似或不同的程度。