Evoked compound action potentials during spinal cord stimulation: effects of posture and pulse width on signal features and neural activation within the spinal cord.

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of neural engineering Pub Date : 2023-08-11 DOI:10.1088/1741-2552/aceca4
Meagan K Brucker-Hahn, Hans J Zander, Andrew J Will, Jayesh C Vallabh, Jason S Wolff, David A Dinsmoor, Scott F Lempka
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引用次数: 1

Abstract

Objective.Evoked compound action potential (ECAP) recordings have emerged as a quantitative measure of the neural response during spinal cord stimulation (SCS) to treat pain. However, utilization of ECAP recordings to optimize stimulation efficacy requires an understanding of the factors influencing these recordings and their relationship to the underlying neural activation.Approach.We acquired a library of ECAP recordings from 56 patients over a wide assortment of postures and stimulation parameters, and then processed these signals to quantify several aspects of these recordings (e.g., ECAP threshold (ET), amplitude, latency, growth rate). We compared our experimental findings against a computational model that examined the effect of variable distances between the spinal cord and the SCS electrodes.Main results.Postural shifts strongly influenced the experimental ECAP recordings, with a 65.7% lower ET and 178.5% higher growth rate when supine versus seated. The computational model exhibited similar trends, with a 71.9% lower ET and 231.5% higher growth rate for a 2.0 mm cerebrospinal fluid (CSF) layer (representing a supine posture) versus a 4.4 mm CSF layer (representing a prone posture). Furthermore, the computational model demonstrated that constant ECAP amplitudes may not equate to a constant degree of neural activation.Significance.These results demonstrate large variability across all ECAP metrics and the inability of a constant ECAP amplitude to provide constant neural activation. These results are critical to improve the delivery, efficacy, and robustness of clinical SCS technologies utilizing these ECAP recordings to provide closed-loop stimulation.

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脊髓刺激过程中诱发的复合动作电位:姿势和脉冲宽度对脊髓内信号特征和神经激活的影响。
目标。诱发复合动作电位(ECAP)记录已成为脊髓刺激(SCS)治疗疼痛过程中神经反应的定量测量方法。然而,利用ECAP记录来优化刺激效果需要了解影响这些记录的因素及其与潜在神经激活的关系。方法我们获得了来自56名患者的各种姿势和刺激参数的ECAP记录库,然后处理这些信号以量化这些记录的几个方面(例如ECAP阈值(ET),振幅,潜伏期,生长速率)。我们将实验结果与一个计算模型进行了比较,该模型检验了脊髓和SCS电极之间不同距离的影响。主要的结果。体位变化强烈影响实验ECAP记录,与坐姿相比,仰卧时ET降低65.7%,ET增长率提高178.5%。计算模型显示出类似的趋势,与4.4 mm脑脊液层(代表俯卧姿势)相比,2.0 mm脑脊液层(代表仰卧姿势)的ET低71.9%,增长率高231.5%。此外,计算模型表明,恒定的ECAP振幅可能不等于恒定的神经激活程度。这些结果表明,所有ECAP指标都有很大的可变性,并且恒定的ECAP振幅无法提供恒定的神经激活。这些结果对于改善临床SCS技术的传输、疗效和稳健性至关重要,这些技术利用这些ECAP记录来提供闭环刺激。
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来源期刊
Journal of neural engineering
Journal of neural engineering 工程技术-工程:生物医学
CiteScore
7.80
自引率
12.50%
发文量
319
审稿时长
4.2 months
期刊介绍: The goal of Journal of Neural Engineering (JNE) is to act as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering. The journal publishes articles in the field of neural engineering at the molecular, cellular and systems levels. The scope of the journal encompasses experimental, computational, theoretical, clinical and applied aspects of: Innovative neurotechnology; Brain-machine (computer) interface; Neural interfacing; Bioelectronic medicines; Neuromodulation; Neural prostheses; Neural control; Neuro-rehabilitation; Neurorobotics; Optical neural engineering; Neural circuits: artificial & biological; Neuromorphic engineering; Neural tissue regeneration; Neural signal processing; Theoretical and computational neuroscience; Systems neuroscience; Translational neuroscience; Neuroimaging.
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