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用于衰老评估的行为和电生理同步纵向记录

Concurrent behavioral and electrophysiological longitudinal recordings for assessment of aging.

作者信息

Morrone Christopher Daniel, Tsang Arielle A, Giorshev Sarah M, Craig Emily E, Yu Wai Haung

机构信息

Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.

Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada.

出版信息

Front Aging Neurosci. 2023 Jan 18;14:952101. doi: 10.3389/fnagi.2022.952101. eCollection 2022.

Abstract

Electrophysiological and behavioral alterations, including sleep and cognitive impairments, are critical components of age-related decline and neurodegenerative diseases. In preclinical investigation, many refined techniques are employed to probe these phenotypes, but they are often conducted separately. Herein, we provide a protocol for one-time surgical implantation of EMG wires in the nuchal muscle and a skull-surface EEG headcap in mice, capable of 9-to-12-month recording longevity. All data acquisitions are wireless, making them compatible with simultaneous EEG recording coupled to multiple behavioral tasks, as we demonstrate with locomotion/sleep staging during home-cage video assessments, cognitive testing in the Barnes maze, and sleep disruption. Time-course EEG and EMG data can be accurately mapped to the behavioral phenotype and synchronized with neuronal frequencies for movement and the location to target in the Barnes maze. We discuss critical steps for optimizing headcap surgery and alternative approaches, including increasing the number of EEG channels or utilizing depth electrodes with the system. Combining electrophysiological and behavioral measurements in preclinical models of aging and neurodegeneration has great potential for improving mechanistic and therapeutic assessments and determining early markers of brain disorders.

摘要

电生理和行为改变,包括睡眠和认知障碍,是与年龄相关的衰退和神经退行性疾病的关键组成部分。在临床前研究中,许多精细的技术被用于探究这些表型,但它们往往是分开进行的。在此,我们提供了一种在小鼠颈部肌肉一次性手术植入肌电图(EMG)电极丝和颅骨表面脑电图(EEG)头罩的方案,其记录寿命可达9至12个月。所有数据采集都是无线的,这使得它们能够与耦合到多个行为任务的同步脑电图记录兼容,正如我们在笼内视频评估期间的运动/睡眠分期、巴恩斯迷宫中的认知测试以及睡眠干扰实验中所展示的那样。脑电图和肌电图的时程数据可以准确地映射到行为表型,并与巴恩斯迷宫中运动的神经元频率以及目标位置同步。我们讨论了优化头罩手术的关键步骤和替代方法,包括增加脑电图通道数量或在该系统中使用深度电极。在衰老和神经退行性变的临床前模型中结合电生理和行为测量,对于改善机制和治疗评估以及确定脑部疾病的早期标志物具有巨大潜力。

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