A Closed-loop Deep Brain Stimulation Approach for Mitigating Burst Durations in People with Parkinson's Disease.
A Closed-loop Deep Brain Stimulation Approach for Mitigating Burst Durations in People with Parkinson's Disease.
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DOI：
10.1109/embc44109.2020.9176196
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Bronte-Stewart HM
中科院分区：
文献类型：
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作者：
Petrucci MN;Anderson RW;O'Day JJ;Kehnemouyi YM;Herron JA;Bronte-Stewart HM
β带同步性增加已被证明是帕金森病（PD）的生物标志物。这种异常的同步性通常会在β活动的长时间爆发中延长，这可能会干扰正常的感觉运动处理。之前的闭环脑深部电刺激（DBS）算法使用平均β功率来驱动神经刺激，这对生理（短）和病理（长）β爆发持续时间不加区分。我们提出了一个闭环DBS算法使用β脉冲串持续时间作为控制信号。实验室验证结果表明，该算法的可行性，实时响应预先记录的数据从PD参与者。这些结果提供了基础，为未来改进的闭环算法集中在突发持续时间，以减轻PD的症状。
Increased beta band synchrony has been demonstrated to be a biomarker of Parkinson’s disease (PD). This abnormal synchrony can often be prolonged in long bursts of beta activity, which may interfere with normal sensorimotor processing. Previous closed loop deep brain stimulation (DBS) algorithms used averaged beta power to drive neurostimulation, which were indiscriminate to physiological (short) versus pathological (long) beta burst durations. We present a closed-loop DBS algorithm using beta burst duration as the control signal. Benchtop validation results demonstrate the feasibility of the algorithm in real-time by responding to pre-recorded STN data from a PD participant. These results provide the basis for future improved closed-loop algorithms focused on burst durations for in mitigating symptoms of PD.