Evidence map›Paper›PMID 40354112›Full record

ArticleeLife2025

Reproducibility of in vivo electrophysiological measurements in mice.

International Brain Laboratory, Kush Banga, Julius Benson, Jai Bhagat, Dan Biderman, Daniel Birman, Niccolò Bonacchi, Sebastian A Bruijns, Kelly Buchanan, Robert A A Campbell and 36 more

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  4. SpikeLab: Agentic tools for spike data analysis.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

46 authors.

International Brain Laboratory
Kush BangaUniversity College London, London, United Kingdom.
Julius BensonNew York University, New York, United States.
Jai BhagatUniversity College London, London, United Kingdom.
Dan BidermanColumbia University, New York, United States.
Daniel BirmanDepartment of Neurobiology and Biophysics, University of Washington, Seattle, United States.ORCID https://orcid.org/0000-0003-3748-6289
Niccolò BonacchiWilliam James Center for Research, ISPA - Instituto Universitário, Lisbon, Portugal.
Sebastian A BruijnsMax-Planck-Institute, Tübingen, Germany.
Kelly BuchananColumbia University, New York, United States.
Robert A A CampbellSainsbury Wellcome Center, London, United Kingdom.
Matteo CarandiniUniversity College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4880-7682
Gaelle A ChapuisUniversity of Geneva, Switzerland, Geneva, Switzerland.
Anne K ChurchlandUniversity of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-3205-3794
M Felicia DavatolhaghUniversity of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-0607-5164
Hyun Dong LeeColumbia University, New York, United States.
Mayo FaulknerUniversity College London, London, United Kingdom.
Berk GerçekUniversity of Geneva, Switzerland, Geneva, Switzerland.
Fei HuUniversity of California, Berkeley, Berkeley, United States.
Julia HuntenburgChampalimaud Foundation, Lisbon, Portugal.
Cole Lincoln HurwitzColumbia University, New York, United States.ORCID https://orcid.org/0000-0002-2023-1653
Anup KhanalUniversity of California, Los Angeles, Los Angeles, United States.
Christopher KrasniakCold Spring Harbor Laboratory, New York, United States.
Petrina LauUniversity College London, London, United Kingdom.
Christopher LangfieldColumbia University, New York, United States.
Nancy MackenzieDepartment of Neurobiology and Biophysics, University of Washington, Seattle, United States.
Guido T MeijerChampalimaud Foundation, Lisbon, Portugal.
Nathaniel J MiskaUniversity College London, London, United Kingdom.
Zeinab MohammadiPrinceton University, Princeton, United States.
Jean-Paul NoelNew York University, New York, United States.ORCID https://orcid.org/0000-0001-5297-3363
Liam PaninskiColumbia University, New York, United States.
Alejandro Pan-VazquezPrinceton University, Princeton, United States.
Cyrille RossantUniversity College London, London, United Kingdom.
Noam RothDepartment of Neurobiology and Biophysics, University of Washington, Seattle, United States.
Michael SchartnerChampalimaud Foundation, Lisbon, Portugal.
Karolina Z SochaUniversity College London, London, United Kingdom.
Nicholas A SteinmetzDepartment of Neurobiology and Biophysics, University of Washington, Seattle, United States.
Karel SvobodaAllen Institute for Neural Dynamics WA, Seattle, United States.
Marsa TaheriUniversity of California, Los Angeles, Los Angeles, United States.
Anne E UraiLeiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0001-5270-6513
Shuqi WangSchool of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
Miles WellsUniversity College London, London, United Kingdom.
Steven J WestUniversity College London, London, United Kingdom.
Matthew R WhitewayColumbia University, New York, United States.
Olivier WinterChampalimaud Foundation, Lisbon, Portugal.
Ilana B WittenPrinceton University, Princeton, United States.ORCID https://orcid.org/0000-0003-0548-2160
Yizi ZhangColumbia University, New York, United States.ORCID https://orcid.org/0000-0001-6939-7868

Funding

State-dependent Decision-making in Brainwide Neural CircuitsU19NS123716 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI WITTEN, ILANA · 2021 to 2025
$18.2M
Dynamic Striatal Astrocyte-Neuron Interactions: An Integrated Experimental and Computational StudyF32MH123010 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TAHERI, MARSA · 2020 to 2022
$221k
NIH HHS 1F32MH123010NIH HHS U19NS123716NIMH NIH HHS F32 MH123010NINDS NIH HHS U19 NS123716Simons Foundation Simons Collaboration on the Global BrainWellcome TrustWellcome Trust 10.35802/209558Wellcome Trust 10.35802/216324
6 · The paper itself

Abstract

Understanding brain function relies on the collective work of many labs generating reproducible results. However, reproducibility has not been systematically assessed within the context of electrophysiological recordings during cognitive behaviors. To address this, we formed a multi-lab collaboration using a shared, open-source behavioral task and experimental apparatus. Experimenters in 10 laboratories repeatedly targeted Neuropixels probes to the same location (spanning secondary visual areas, hippocampus, and thalamus) in mice making decisions; this generated a total of 121 experimental replicates, a unique dataset for evaluating reproducibility of electrophysiology experiments. Despite standardizing both behavioral and electrophysiological procedures, some experimental outcomes were highly variable. A closer analysis uncovered that variability in electrode targeting hindered reproducibility, as did the limited statistical power of some routinely used electrophysiological analyses, such as single-neuron tests of modulation by individual task parameters. Reproducibility was enhanced by histological and electrophysiological quality-control criteria. Our observations suggest that data from systems neuroscience is vulnerable to a lack of reproducibility, but that across-lab standardization, including metrics we propose, can serve to mitigate this.

Indexed as

BrainElectrophysiological PhenomenaElectrophysiologyAnimalsBehavior, AnimalMaleMiceMice, Inbred C57BLReproducibility of Resultsdecision-makingelectrophsyiologymouseneuropixelsneuroscienceopen sciencereproducibilityvision

Identifiers

PMID40354112
PMCPMC12068871

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.