Evidence map›Paper›PMID 29103613›Full record

ArticleCell2017

Ancestral Circuits for the Coordinated Modulation of Brain State.

Matthew Lovett-Barron, Aaron S Andalman, William E Allen, Sam Vesuna, Isaac Kauvar, Vanessa M Burns, Karl Deisseroth

Abstract read
In one paragraph

Article in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

115 citing papers in PubMed.

  1. Article
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  7. Pharmaco-behavioral profiling identifies suppressors of autism gene-associated phenotypes in zebrafish.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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  14. Article
  15. A neural manifold view of the brain.Nature neuroscience · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Matthew Lovett-BarronDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA.
Aaron S AndalmanDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA.
William E AllenDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Neuroscience Program, Stanford University, Stanford, CA 94305, USA.
Sam VesunaDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Isaac KauvarDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Vanessa M BurnsCNC Program, Stanford University, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. Electronic address: deissero@stanford.edu.

Funding

UCD Mutant Mouse Regional Resource CenterU42OD012210 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KC KENT LLOYD · 2012 to 2026
$29.2M
Training CoreP50DA042012 · NIDA · STANFORD UNIVERSITY · PI Karl A. Deisseroth, Lisa Giocomo · 2017 to 2026
$27.1M
CLARITY: fully-assembled biologyR01MH099647 · NIMH · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2012 to 2016
$23.0M
Howard Hughes Medical InstituteNIDA NIH HHS P50 DA042012NIH HHS U42 OD012210NIMH NIH HHS R01 MH099647
6 · The paper itself

Abstract

Internal states of the brain profoundly influence behavior. Fluctuating states such as alertness can be governed by neuromodulation, but the underlying mechanisms and cell types involved are not fully understood. We developed a method to globally screen for cell types involved in behavior by integrating brain-wide activity imaging with high-content molecular phenotyping and volume registration at cellular resolution. We used this method (MultiMAP) to record from 22 neuromodulatory cell types in behaving zebrafish during a reaction-time task that reports alertness. We identified multiple monoaminergic, cholinergic, and peptidergic cell types linked to alertness and found that activity in these cell types was mutually correlated during heightened alertness. We next recorded from and controlled homologous neuromodulatory cells in mice; alertness-related cell-type dynamics exhibited striking evolutionary conservation and modulated behavior similarly. These experiments establish a method for unbiased discovery of cellular elements underlying behavior and reveal an evolutionarily conserved set of diverse neuromodulatory systems that collectively govern internal state.

Indexed as

Behavior, AnimalAnimalsBrainBrain MappingLarvaMiceNeural PathwaysNeuronsZebrafishBrain stateCalcium imagingMiceNeuromodulationVolume registrationZebrafish

Identifiers

PMID29103613
PMCPMC5725395

What OpenQuestion holds

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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.