近日，美国明尼苏达大学Suhasa B. Kodandaramaiah及其研究团队，报道了由机器人神经记录头台实现的小鼠在物理空间中导航时的全脑范围神经记录。相关论文于2024年10月7日在线发表在《自然—方法学》杂志上。

据了解，能够在多个空间和时间尺度上以细胞分辨率记录神经活动的技术通常比被记录的动物要大得多，因此仅限于记录固定在头部的受试者。

附：英文原文

Title: Brain-wide neural recordings in mice navigating physical spaces enabled by robotic neural recording headstages

Author: Hope, James, Beckerle, Travis M., Cheng, Pin-Hao, Viavattine, Zoey, Feldkamp, Michael, Fausner, Skylar M. L., Saxena, Kapil, Ko, Eunsong, Hryb, Ihor, Carter, Russell E., Ebner, Timothy J., Kodandaramaiah, Suhasa B.

Issue&Volume: 2024-10-07

Abstract: Technologies that can record neural activity at cellular resolution at multiple spatial and temporal scales are typically much larger than the animals that are being recorded from and are thus limited to recording from head-fixed subjects. Here we have engineered robotic neural recording devices—‘cranial exoskeletons’—that assist mice in maneuvering recording headstages that are orders of magnitude larger and heavier than the mice, while they navigate physical behavioral environments. We discovered optimal controller parameters that enable mice to locomote at physiologically realistic velocities while maintaining natural walking gaits. We show that mice learn to work with the robot to make turns and perform decision-making tasks. Robotic imaging and electrophysiology headstages were used to record recordings of Ca2+ activity of thousands of neurons distributed across the dorsal cortex and spiking activity of hundreds of neurons across multiple brain regions and multiple days, respectively.

DOI: 10.1038/s41592-024-02434-z

Source: https://www.nature.com/articles/s41592-024-02434-z