Evidence map›Paper›PMID 39333269›Full record

ArticleNature methods2025

Tracking neurons across days with high-density probes.

Enny H van Beest, Célian Bimbard, Julie M J Fabre, Sam W Dodgson, Flóra Takács, Philip Coen, Anna Lebedeva, Kenneth D Harris, Matteo Carandini

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  13. Spatial Filters-In Search of the Virtual Electrode.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  14. Article
  15. Article
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  18. Brainwide blood volume reflects opposing neural populations.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article
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

9 authors.

Enny H van Beest *UCL Institute of Ophthalmology, University College London, London, UK. e.beest@ucl.ac.uk.ORCID http://orcid.org/0000-0002-2454-0445
Célian Bimbard *UCL Institute of Ophthalmology, University College London, London, UK. c.bimbard@ucl.ac.uk.ORCID http://orcid.org/0000-0002-6380-5856
Julie M J FabreUCL Queen Square Institute of Neurology, University College London, London, UK.
Sam W DodgsonUCL Queen Square Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0009-0009-5217-8605
Flóra TakácsSainsbury Wellcome Centre, University College London, London, UK.ORCID http://orcid.org/0000-0002-2287-9082
Philip CoenUCL Institute of Ophthalmology, University College London, London, UK.
Anna LebedevaSainsbury Wellcome Centre, University College London, London, UK.ORCID http://orcid.org/0000-0003-2454-411X
Kenneth D HarrisUCL Queen Square Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0000-0002-5930-6456
Matteo CarandiniUCL Institute of Ophthalmology, University College London, London, UK.ORCID http://orcid.org/0000-0003-4880-7682

Funding

State-dependent Decision-making in Brainwide Neural CircuitsU19NS123716 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ZADOR, ANTHONY M · 2021 to 2025
$18.2M
EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101022757European Molecular Biology Organization (EMBO) ALTF 740-2019NINDS NIH HHS U19 NS123716RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/T016639/1Wellcome TrustWellcome Trust 223144Wellcome Trust 227065
6 · The paper itself

Abstract

Neural activity spans multiple time scales, from milliseconds to months. Its evolution can be recorded with chronic high-density arrays such as Neuropixels probes, which can measure each spike at tens of sites and record hundreds of neurons. These probes produce vast amounts of data that require different approaches for tracking neurons across recordings. Here, to meet this need, we developed UnitMatch, a pipeline that operates after spike sorting, based only on each unit's average spike waveform. We tested UnitMatch in Neuropixels recordings from the mouse brain, where it tracked neurons across weeks. Across the brain, neurons had distinctive inter-spike interval distributions. Their correlations with other neurons remained stable over weeks. In the visual cortex, the neurons' selectivity for visual stimuli remained similarly stable. In the striatum, however, neuronal responses changed across days during learning of a task. UnitMatch is thus a promising tool to reveal both invariance and plasticity in neural activity across days.

Indexed as

Cell TrackingNeuronsAction PotentialsAnimalsBrainMaleMiceMice, Inbred C57BLVisual Cortex

Identifiers

PMID39333269
PMCPMC11978519

What OpenQuestion holds

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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.