小柯机器人

美国哈佛大学Jia Liu研究组实现小鼠整个成年期同一细胞神经活动的追踪。2023年2月20日，《自然—神经科学》杂志在线发表了这项成果。

研究人员报道了一种方法，其能够以一个开放、展开的网状结构精确地植入电极并跨越小鼠的多个大脑区域。这个开放的网状结构与神经网络形成稳定的交织结构，防止探针漂移，在一年的植入过程中无免疫反应和神经元丢失。严格的统计分析、视觉刺激依赖测量以及无偏倚的基于机器学习的分析表明，单个单元动作电位已经从行动小鼠的相同神经元中以非常长期稳定的方式记录下来。利用这种稳定的结构，研究人员证明了相同的神经元可以在小鼠的整个成年生活中被记录，并揭示了单神经元活动的衰老相关演变。

据了解，稳定地记录同一神经元在动物成年生活中的电活动对神经科学研究和生物医学应用非常重要。目前的植入式设备无法在这个时间尺度上提供稳定的记录。

附：英文原文

Title: Tracking neural activity from the same cells during the entire adult life of mice

Author: Zhao, Siyuan, Tang, Xin, Tian, Weiwen, Partarrieu, Sebastian, Liu, Ren, Shen, Hao, Lee, Jaeyong, Guo, Shiqi, Lin, Zuwan, Liu, Jia

Issue&Volume: 2023-02-20

Abstract: Stably recording the electrical activity of the same neurons over the adult life of an animal is important to neuroscience research and biomedical applications. Current implantable devices cannot provide stable recording on this timescale. Here, we introduce a method to precisely implant electronics with an open, unfolded mesh structure across multiple brain regions in the mouse. The open mesh structure forms a stable interwoven structure with the neural network, preventing probe drifting and showing no immune response and neuron loss during the year-long implantation. Rigorous statistical analysis, visual stimulus-dependent measurement and unbiased, machine-learning-based analysis demonstrated that single-unit action potentials have been recorded from the same neurons of behaving mice in a very long-term stable manner. Leveraging this stable structure, we demonstrated that the same neurons can be recorded over the entire adult life of the mouse, revealing the aging-associated evolution of single-neuron activities.

DOI: 10.1038/s41593-023-01267-x

Source: https://www.nature.com/articles/s41593-023-01267-x

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex