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Neurometabolic and electrophysiological changes during cortical spreading depolarization: multimodal approach based on a lactate-glucose dual microbiosensor arrays

机译:皮层扩展去极化过程中的神经代谢和电生理变化:基于乳酸-葡萄糖双重微生物传感器阵列的多峰方法

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摘要

Spreading depolarization (SD) is a slow propagating wave of strong depolarization of neural cells, implicated in several neuropathological conditions. The breakdown of brain homeostasis promotes significant hemodynamic and metabolic alterations, which impacts on neuronal function. In this work we aimed to develop an innovative multimodal approach, encompassing metabolic, electric and hemodynamic measurements, tailored but not limited to study SD. This was based on a novel dual-biosensor based on microelectrode arrays designed to simultaneously monitor lactate and glucose fluctuations and ongoing neuronal activity with high spatial and temporal resolution. In vitro evaluation of dual lactate-glucose microbiosensor revealed an extended linear range, high sensitivity and selectivity, fast response time and low oxygen-, temperature- and pH- dependencies. In anesthetized rats, we measured with the same array a significant drop in glucose concentration matched to a rise in lactate and concurrently with pronounced changes in the spectral profile of LFP-related currents during episodes of mechanically-evoked SD. This occurred along with the stereotypical hemodynamic response of the SD wave. Overall, this multimodal approach successfully demonstrates the capability to monitor metabolic alterations and ongoing electrical activity, thus contributing to a better understanding of the metabolic changes occurring in the brain following SD.
机译:扩展去极化(SD)是神经细胞强去极化的缓慢传播波,与多种神经病理学状况有关。脑稳态的破坏促进了显着的血液动力学和代谢改变,从而影响神经元功能。在这项工作中,我们旨在开发一种创新的多峰方法,涵盖代谢,电学和血液动力学测量,这些测量量身定制但不限于研究SD。这是基于一种新型的双生物传感器,该传感器基于微电极阵列,旨在以高时空分辨率同时监测乳酸和葡萄糖波动以及正在进行的神经元活动。双乳酸-葡萄糖微生物传感器的体外评估显示线性范围扩大,灵敏度和选择性高,响应时间快,对氧气,温度和pH的依赖性低。在麻醉的大鼠中,我们用相同的阵列测量了在机械诱发的SD发作期间,葡萄糖浓度的显着下降与乳酸盐的升高相匹配,同时与LFP相关电流的频谱图发生了显着变化。这与SD波的定型血液动力学反应一起发生。总体而言,这种多峰方法成功地展示了监测代谢变化和正在进行的电活动的能力,从而有助于更好地了解SD后大脑中发生的代谢变化。

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