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应用感觉反馈的闭环骶神经调节治疗麻醉猫模型的膀胱功能

Closed-loop sacral neuromodulation for bladder function using dorsal root ganglia sensory feedback in an anesthetized feline model.

机构信息

Biomedical Engineering Department, University of Michigan, Ann Arbor, MI, USA.

Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA.

出版信息

Med Biol Eng Comput. 2022 May;60(5):1527-1540. doi: 10.1007/s11517-022-02554-8. Epub 2022 Mar 29.

Abstract

Overactive bladder patients suffer from a frequent, uncontrollable urge to urinate, which can lead to a poor quality of life. We aim to improve open-loop sacral neuromodulation therapy by developing a conditional stimulation paradigm using neural recordings from dorsal root ganglia (DRG) as sensory feedback. Experiments were performed in 5 anesthetized felines. We implemented a Kalman filter-based algorithm to estimate the bladder pressure in real-time using sacral-level DRG neural recordings and initiated sacral root electrical stimulation when the algorithm detected an increase in bladder pressure. Closed-loop neuromodulation was performed during continuous cystometry and compared to bladder fills with continuous and no stimulation. Overall, closed-loop stimulation increased bladder capacity by 13.8% over no stimulation (p < 0.001) and reduced stimulation time versus continuous stimulation by 57.7%. High-confidence bladder single units had a reduced sensitivity during stimulation, with lower linear trendline fits and higher pressure thresholds for firing observed during stimulation trials. This study demonstrates the utility of decoding bladder pressure from neural activity for closed-loop control of sacral neuromodulation. An underlying mechanism for sacral neuromodulation may be a reduction in bladder sensory neuron activity during stimulation. Real-time validation during behavioral studies is necessary prior to clinical translation of closed-loop sacral neuromodulation.

摘要

膀胱过度活动症患者会频繁出现无法自控的排尿冲动,这会导致生活质量下降。我们旨在通过利用背根神经节(DRG)的神经记录作为感觉反馈来开发条件刺激范式,从而改进开环骶神经调节治疗。在 5 只麻醉猫中进行了实验。我们实施了一种基于卡尔曼滤波器的算法,使用骶神经水平的 DRG 神经记录实时估计膀胱压力,并在算法检测到膀胱压力增加时启动骶神经根电刺激。在连续膀胱测压期间进行闭环神经调节,并将其与连续刺激和无刺激时的膀胱充盈进行比较。总体而言,与无刺激相比,闭环刺激使膀胱容量增加了 13.8%(p<0.001),与连续刺激相比,刺激时间减少了 57.7%。在刺激期间,高置信度的膀胱单单位敏感性降低,观察到刺激试验中线性趋势线拟合较低,触发压力阈值较高。这项研究证明了从神经活动解码膀胱压力用于骶神经调节闭环控制的实用性。骶神经调节的潜在机制可能是在刺激期间减少膀胱感觉神经元的活动。在临床转化闭环骶神经调节之前,有必要在行为研究中进行实时验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69ae/9124066/e1749e7bca02/nihms-1793557-f0002.jpg

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