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

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 Ca<sup>2+</sup> 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.

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Publication Details

Journal
Nature Methods
Published
2024-10-07
DOI
https://doi.org/10.1038/s41592-024-02434-z
Citations
12
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
3.77

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article

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

Eunsong Ko, Russell E. Carter, Michael D. Feldkamp, James Hope et al.
12 citations
Nature Methods
Neural dynamics and brain function
3.77
article

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

Eunsong Ko, Russell E. Carter, Michael D. Feldkamp, James Hope, Skylar Fausner, Timothy J. Ebner, Pin-Hao Cheng, Suhasa B. Kodandaramaiah, Travis Beckerle, Zoey Viavattine, Ihor Hryb, Kapil Saxena
article en
12 citations

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 Ca<sup>2+</sup> 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.

Nature MethodsVol. 21(11)
University of Minnesota (US), Twin Cities Orthopedics (US)
National Institute on Drug Abuse, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 6%
Neural dynamics and brain function
3.77
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