Evidence map›Paper›PMID 35947954›Full record

ArticleCell reports2022

Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types.

Anirban Nandi, Thomas Chartrand, Werner Van Geit, Anatoly Buchin, Zizhen Yao, Soo Yeun Lee, Yina Wei, Brian Kalmbach, Brian Lee, Ed Lein and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. A Framework for Compressive On-Chip Action Potential Recording.IEEE transactions on bio-medical engineering · 2026
    Article
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  8. Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Neuropixels reveal structure-function relationships in monkey V1bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Cell class-specific electric field entrainment of neural activity.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. The neuroconnectionist research programme.Nature reviews. Neuroscience · 2023
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 3 countries.

Anirban NandiAllen Institute for Brain Science, Seattle, WA 98109, USA.
Thomas ChartrandAllen Institute for Brain Science, Seattle, WA 98109, USA.
Werner Van GeitBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Geneva 1202, Switzerland.
Anatoly BuchinAllen Institute for Brain Science, Seattle, WA 98109, USA.
Zizhen YaoAllen Institute for Brain Science, Seattle, WA 98109, USA.
Soo Yeun LeeAllen Institute for Brain Science, Seattle, WA 98109, USA.
Yina WeiAllen Institute for Brain Science, Seattle, WA 98109, USA; Zhejiang Lab, Hangzhou City, Zhejiang Province 311121, China.
Brian KalmbachAllen Institute for Brain Science, Seattle, WA 98109, USA.
Brian LeeAllen Institute for Brain Science, Seattle, WA 98109, USA.
Ed LeinAllen Institute for Brain Science, Seattle, WA 98109, USA.
Jim BergAllen Institute for Brain Science, Seattle, WA 98109, USA.
Uygar SümbülAllen Institute for Brain Science, Seattle, WA 98109, USA.
Christof KochAllen Institute for Brain Science, Seattle, WA 98109, USA.
Bosiljka TasicAllen Institute for Brain Science, Seattle, WA 98109, USA.
Costas A AnastassiouAllen Institute for Brain Science, Seattle, WA 98109, USA; Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA. Electronic address: costas.anastassiou@cshs.org.
Allen Institute for Brain Science · USAllen Institute · USCedars-Sinai Medical Center · USÉcole Polytechnique Fédérale de Lausanne · CH

Funding

Multi-modal, large-scale characterization of cellular and cell-type-specific effects with electric stimulation in rodent and human brainR01NS120300 · NINDS · ALLEN INSTITUTE · PI LEE, SOO YEUN · 2020 to 2024
$2.8M
NINDS NIH HHS R01 NS120300
6 · The paper itself

Abstract

Which cell types constitute brain circuits is a fundamental question, but establishing the correspondence across cellular data modalities is challenging. Bio-realistic models allow probing cause-and-effect and linking seemingly disparate modalities. Here, we introduce a computational optimization workflow to generate 9,200 single-neuron models with active conductances. These models are based on 230 in vitro electrophysiological experiments followed by morphological reconstruction from the mouse visual cortex. We show that, in contrast to current belief, the generated models are robust representations of individual experiments and cortical cell types as defined via cellular electrophysiology or transcriptomics. Next, we show that differences in specific conductances predicted from the models reflect differences in gene expression supported by single-cell transcriptomics. The differences in model conductances, in turn, explain electrophysiological differences observed between the cortical subclasses. Our computational effort reconciles single-cell modalities that define cell types and enables causal relationships to be examined.

Indexed as

TranscriptomeVisual CortexAnimalsElectrophysiological PhenomenaElectrophysiologyMiceModels, NeurologicalNeuronscell typesCP: Neurosciencedimensionality reductionelectrophysiologyhigh-performance computingmachine learningmodelingmorphologymultimodal cellular dataoptimizationtranscriptomics

Identifiers

PMID35947954
PMCPMC9793758
OpenAlexW4290769203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.