Evidence map›Paper›PMID 38014260›Full record

ArticleResearch square2023

Brain-wide neural recordings in mice navigating physical spaces enabled by a cranial exoskeleton.

James Hope, Travis Beckerle, Pin-Hao Cheng, Zoey Viavattine, Michael Feldkamp, Skylar Fausner, Kapil Saxena, Eunsong Ko, Ihor Hryb, Russell Carter and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

James HopeDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Travis BeckerleDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.ORCID https://orcid.org/0009-0005-5524-9318
Pin-Hao ChengDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.ORCID https://orcid.org/0000-0002-4849-2505
Zoey ViavattineDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Michael FeldkampDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Skylar FausnerDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Kapil SaxenaDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Eunsong KoDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Ihor HrybDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.
Russell CarterDepartment of Biomedical Engineering, University of Minnesota, Twin Cities.
Timothy EbnerDepartment of Biomedical Engineering, University of Minnesota, Twin Cities.ORCID https://orcid.org/0000-0001-8464-3860
Suhasa KodandaramaiahDepartment of Mechanical Engineering, University of Minnesota, Twin Cities.ORCID https://orcid.org/0000-0002-7767-2644
University of Minnesota · US

Funding

Opto-Crown: Transparent skulls with embedded optics for cortex-wide cellular resolution imaging in freely moving miceRF1NS113287 · NINDS · UNIVERSITY OF MINNESOTA · PI BOYDEN, EDWARD S., KODANDARAMAIAH, SUHASA B · 2019 to 2019
$2.0M
Robot assisted brain-wide neural recordings and comprehensive behavioral monitoring in freely behaving miceRF1NS126044 · NINDS · UNIVERSITY OF MINNESOTA · PI EBNER, TIMOTHY J, KODANDARAMAIAH, SUHASA B · 2022 to 2022
$1.9M
NINDS NIH HHS RF1 NS113287NINDS NIH HHS RF1 NS126044
6 · The paper itself

Abstract

Complex behaviors are mediated by neural computations occurring throughout the brain. In recent years, tremendous progress has been made in developing technologies that can record neural activity at cellular resolution at multiple spatial and temporal scales. However, these technologies are primarily designed for studying the mammalian brain during head fixation - wherein the behavior of the animal is highly constrained. Miniaturized devices for studying neural activity in freely behaving animals are largely confined to recording from small brain regions owing to performance limitations. We present a cranial exoskeleton that assists mice in maneuvering neural recording headstages that are orders of magnitude larger and heavier than the mice, while they navigate physical behavioral environments. Force sensors embedded within the headstage are used to detect the mouse's milli-Newton scale cranial forces which then control the x, y, and yaw motion of the exoskeleton via an admittance controller. We discovered optimal controller tuning parameters that enable mice to locomote at physiologically realistic velocities and accelerations while maintaining natural walking gait. Mice maneuvering headstages weighing up to 1.5 kg can make turns, navigate 2D arenas, and perform a navigational decision-making task with the same performance as when freely behaving. We designed an imaging headstage and an electrophysiology headstage for the cranial exoskeleton to record brain-wide neural activity in mice navigating 2D arenas. The imaging headstage enabled recordings of Ca2+ activity of 1000s of neurons distributed across the dorsal cortex. The electrophysiology headstage supported independent control of up to 4 silicon probes, enabling simultaneous recordings from 100s of neurons across multiple brain regions and multiple days. Cranial exoskeletons provide flexible platforms for largescale neural recording during the exploration of physical spaces, a critical new paradigm for unraveling the brain-wide neural mechanisms that control complex behavior.

Identifiers

PMID38014260
PMCPMC10680923
OpenAlexW4388635721

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.