Evidence map›Paper›PMID 23524393›Full record

ArticleNature methods2013

Whole-brain functional imaging at cellular resolution using light-sheet microscopy.

Misha B Ahrens, Michael B Orger, Drew N Robson, Jennifer M Li, Philipp J Keller

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 648 papers.

0numbers the graph read from it
0cells of the map it votes in
648citing papers in PubMed
57.7field-weighted citation impact, top 1% 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

648 citing papers in PubMed, 1,462 citations in OpenAlex.

  1. Article
  2. Review
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  4. Shallow recurrent decoders for neural and behavioural dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  5. Article
  6. Article
  7. Space-time light-sheet microscopy.Nature communications · 2026
    Article
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588 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Misha B AhrensHoward Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, USA. ahrensm@janelia.hhmi.org
Michael B Orger
Drew N Robson
Jennifer M Li
Philipp J Keller
Harvard University · USJanelia Research Campus · USChampalimaud Foundation · PT

Funding

Genetics of Sleep in ZebrafishR01HL109525 · NHLBI · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2011 to 2015
$2.1M
Genetics of Sleep in ZebrafishR01GM085357 · NIGMS · HARVARD UNIVERSITY · PI SCHIER, ALEXANDER F · 2008 to 2010
$1.0M
Howard Hughes Medical InstituteNCCDPHP CDC HHS DP1NS082121NHLBI NIH HHS R01HL109525NIGMS NIH HHS R01GM085357
6 · The paper itself

Abstract

Brain function relies on communication between large populations of neurons across multiple brain areas, a full understanding of which would require knowledge of the time-varying activity of all neurons in the central nervous system. Here we use light-sheet microscopy to record activity, reported through the genetically encoded calcium indicator GCaMP5G, from the entire volume of the brain of the larval zebrafish in vivo at 0.8 Hz, capturing more than 80% of all neurons at single-cell resolution. Demonstrating how this technique can be used to reveal functionally defined circuits across the brain, we identify two populations of neurons with correlated activity patterns. One circuit consists of hindbrain neurons functionally coupled to spinal cord neuropil. The other consists of an anatomically symmetric population in the anterior hindbrain, with activity in the left and right halves oscillating in antiphase, on a timescale of 20 s, and coupled to equally slow oscillations in the inferior olive.

Indexed as

AnimalsBrainMicroscopyZebrafish

Identifiers

PMID23524393
OpenAlexW2089315051

What OpenQuestion holds

Textmetadata
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.