Evidence map›Paper›PMID 39191257›Full record

ArticleCell2024

A line attractor encoding a persistent internal state requires neuropeptide signaling.

George Mountoufaris, Aditya Nair, Bin Yang, Dong-Wook Kim, Amit Vinograd, Samuel Kim, Scott W Linderman, David J Anderson

Abstract read
In one paragraph

Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Comparative neuroanatomy of emotion expression: from flies to humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Sexual Dimorphism in c-Fos Networks Governing Aggression.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Nociceptors use multiple neurotransmitters to drive pain.bioRxiv : the preprint server for biology · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

George MountoufarisDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Aditya NairDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Program in Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Bin YangDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Dong-Wook KimDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Amit VinogradDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Samuel KimDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA.
Scott W LindermanDepartment of Statistics, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
David J AndersonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, CA, USA; Howard Hughes Medical Institute, Pasadena, CA 91001, USA. Electronic address: wuwei@caltech.edu.

Funding

Region-Specific, Inducible Axonal Tract-Tracing in the BrainR01MH070053 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI David J Anderson · 2004 to 2026
$9.7M
Circuit basis of social behavior decision-making in a subcortical networkR01NS123916 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSON, DAVID J · 2021 to 2025
$2.9M
Multimodal, integrated analysis of neural activity and naturalistic social behavior in freely moving miceR01MH123612 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSON, DAVID J, PERONA, PIETRO · 2020 to 2024
$2.1M
NIMH NIH HHS R01 MH070053NIMH NIH HHS R01 MH123612NINDS NIH HHS R01 NS123916
6 · The paper itself

Abstract

Internal states drive survival behaviors, but their neural implementation is poorly understood. Recently, we identified a line attractor in the ventromedial hypothalamus (VMH) that represents a state of aggressiveness. Line attractors can be implemented by recurrent connectivity or neuromodulatory signaling, but evidence for the latter is scant. Here, we demonstrate that neuropeptidergic signaling is necessary for line attractor dynamics in this system by using cell-type-specific CRISPR-Cas9-based gene editing combined with single-cell calcium imaging. Co-disruption of receptors for oxytocin and vasopressin in adult VMH Esr1

Indexed as

NeuronsNeuropeptidesSignal TransductionAnimalsCRISPR-Cas SystemsEstrogen Receptor alphaFemaleGene EditingHypothalamusMaleMiceMice, Inbred C57BLOxytocinReceptors, VasopressinEstrogen Receptor alphaNeuropeptidesOxytocinReceptors, Vasopressinattractor dynamicsCRISPR-Cas9microendoscope imagingneuropeptidespersistent activity

Identifiers

PMID39191257
PMCPMC11490375

What OpenQuestion holds

Textmetadata
LicenceTDM
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.