Background

Pathologically prolonged bursts of neural activity in the 8−30 Hz frequency range in Parkinson’s disease have been measured using high power event detector thresholds.

New method

This study introduces a novel method for determining beta bursts using a power baseline based on spectral activity that overlapped a simulated 1/f spectrum. We used resting state local field potentials from people with Parkinson’s disease and a simulated 1/f signal to measure beta burst durations, to demonstrate how tuning parameters (i.e., bandwidth and center frequency) affect burst durations, to compare burst duration distributions with high power threshold methods, and to study the effect of increasing neurostimulation intensities on burst duration.

Results

The baseline method captured a broad distribution of resting state beta band burst durations. Mean beta band burst durations were significantly shorter on compared to off neurostimulation (p = 0.0046), and their distribution shifted towards that of the 1/f spectrum during increasing intensities of stimulation.

Comparison with existing methods

High power event detection methods, measure duration of higher power bursts and omit portions of the neural signal. The baseline method captured the broadest distribution of burst durations and was more sensitive than high power detection methods in demonstrating the effect of neurostimulation on beta burst duration.

Conclusions

The baseline method captured a broad range of fluctuations in beta band neural activity and demonstrated that subthalamic neurostimulation shortened burst durations in a dose (intensity) dependent manner, suggesting that beta burst duration is a useful control variable for closed loop algorithms.

中文翻译：

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一种使用生理基线计算帕金森病 β 波段突发持续时间的新方法。

背景

已使用高功率事件检测器阈值测量了帕金森病中 8-30 Hz 频率范围内的病理性延长的神经活动爆发。

新方法

本研究介绍了一种使用基于与模拟 1/f 频谱重叠的频谱活动的功率基线来确定 beta 爆发的新方法。我们使用来自帕金森病患者的静息状态局部场电位和模拟 1/f 信号来测量 beta 爆发持续时间，以演示调谐参数（即带宽和中心频率）如何影响爆发持续时间，以比较高功率爆发持续时间分布阈值方法，并研究增加神经刺激强度对爆发持续时间的影响。

结果

基线方法捕获了广泛分布的静息状态 beta 波段突发持续时间。与关闭神经刺激相比，平均 β 波段突发持续时间明显更短（p = 0.0046），并且在增加刺激强度期间，它们的分布向 1/f 谱的分布方向移动。

与现有方法的比较

高功率事件检测方法，测量高功率突发的持续时间并忽略部分神经信号。基线方法捕获了爆发持续时间的最广泛分布，并且在证明神经刺激对 beta 爆发持续时间的影响方面比高功率检测方法更敏感。

结论

基线方法捕获了 β 带神经活动的广泛波动，并证明下丘脑神经刺激以剂量（强度）依赖的方式缩短了爆发持续时间，这表明 β 爆发持续时间是闭环算法的有用控制变量。