Evidence map›Paper›PMID 39375573›Full record

ArticleNature methods2024

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

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

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Coordinated Representational Drift Across the Mouse Cortex.bioRxiv : the preprint server for biology · 2026
    Article
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  6. Article
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  10. Review
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  13. Year in review 2024.Nature methods · 2025
    Article
  14. Review
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  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

James HopeDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-1301-2049
Travis M BeckerleDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0009-0005-5524-9318
Pin-Hao ChengDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-4849-2505
Zoey ViavattineDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0009-0000-4811-4996
Michael FeldkampDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.
Skylar M L FausnerDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.
Kapil SaxenaDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-9138-6102
Eunsong KoDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.
Ihor HrybDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA.
Russell E CarterDepartment of Neuroscience, University of Minnesota, Twin Cities, Minneapolis, MN, USA.
Timothy J EbnerDepartment of Neuroscience, University of Minnesota, Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-8464-3860
Suhasa B KodandaramaiahDepartment of Mechanical Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA. suhasabk@umn.edu.ORCID http://orcid.org/0000-0002-7767-2644

Funding

Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Mark John Thomas · 2020 to 2026
$19.0M
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
Decision-making alterations in mouse models of Alzheimer's diseaseR01AG070296 · NIA · UNIVERSITY OF MINNESOTA · PI THOMAS, MARK JOHN · 2024 to 2025
$1.2M
NIA NIH HHS R01 AG070296NIDA NIH HHS P30 DA048742NINDS NIH HHS RF1 NS126044U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS11128U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) P30DA048742
6 · The paper itself

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

Indexed as

BrainNeuronsRoboticsAction PotentialsAnimalsHeadMaleMiceMice, Inbred C57BL

Identifiers

PMID39375573
PMCPMC13175759

What OpenQuestion holds

Textmetadata
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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.