Lucio Boschen Suelen, Trevathan James, Hara Seth A, Asp Anders, Lujan J Luis
Applied Computational Neurophysiology and Neuromodulation Laboratory, Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.
Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Front Neurosci. 2021 Nov 12;15:728092. doi: 10.3389/fnins.2021.728092. eCollection 2021.
Fast Scan Cyclic Voltammetry (FSCV) has been used for decades as a neurochemical tool for detection of phasic changes in electroactive neurotransmitters in animal models. Recently, multiple research groups have initiated human neurochemical studies using FSCV or demonstrated interest in bringing FSCV into clinical use. However, there remain technical challenges that limit clinical implementation of FSCV by creating barriers to appropriate scientific rigor and patient safety. In order to progress with clinical FSCV, these limitations must be first addressed through (1) appropriate pre-clinical studies to ensure accurate measurement of neurotransmitters and (2) the application of a risk management framework to assess patient safety. The intent of this work is to bring awareness of the current issues associated with FSCV to the scientific, engineering, and clinical communities and encourage them to seek solutions or alternatives that ensure data accuracy, rigor and reproducibility, and patient safety.
快速扫描循环伏安法(FSCV)作为一种神经化学工具,已在动物模型中用于检测电活性神经递质的相位变化数十年了。最近,多个研究小组已开始使用FSCV开展人体神经化学研究,或表现出将FSCV应用于临床的兴趣。然而,仍然存在一些技术挑战,这些挑战通过对适当的科学严谨性和患者安全设置障碍,限制了FSCV在临床上的应用。为了推进临床FSCV的发展,必须首先通过(1)适当的临床前研究以确保神经递质的准确测量,以及(2)应用风险管理框架来评估患者安全,来解决这些限制。这项工作的目的是让科学、工程和临床界认识到与FSCV相关的当前问题,并鼓励他们寻求确保数据准确性、严谨性和可重复性以及患者安全的解决方案或替代方案。