Evidence map›Paper›PMID 24133414›Full record

ArticleFrontiers in neural circuits2013

Three-dimensional mapping of microcircuit correlation structure.

R James Cotton, Emmanouil Froudarakis, Patrick Storer, Peter Saggau, Andreas S Tolias

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Wide. Fast. Deep: Recent Advances in Multiphoton Microscopy ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Review
  10. Spike Estimation from Fluorescence Signals Using High-Resolution Property of Group Delay.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Error-Robust Modes of the Retinal Population Code.PLoS computational biology · 2016
    Article
  15. Article
  16. Genetically Encoded Voltage Indicators: Opportunities and Challenges.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Review
  17. Review
  18. Review
  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

5 authors.

R James CottonDepartment of Neuroscience, Baylor College of Medicine Houston, TX, USA.
Emmanouil Froudarakis
Patrick Storer
Peter Saggau
Andreas S Tolias

Funding

VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
VISUAL SCIENCEST32EY007001 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$3.7M
Dissecting the Fabric of the Cerebral CortexDP1EY023176 · NEI · BAYLOR COLLEGE OF MEDICINE · PI TOLIAS, ANDREAS · 2012 to 2015
$3.1M
Optogenetic Tools for in vivo Analysis of Cortical Circuit PlasticityR01DA028525 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI SAGGAU, PETER, TOLIAS, ANDREAS · 2009 to 2010
$1.2M
Distributed Representation of Working Memory in Prefrontal CortexF30MH088228 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI COTTON, RONALD JAMES · 2009 to 2013
$141k
NEI NIH HHS 5-P30-EY002520-33NEI NIH HHS 5-T32-EY07001-37NEI NIH HHS DP1 EY023176NEI NIH HHS EY023176NEI NIH HHS P30 EY002520NEI NIH HHS T32 EY007001NIDA NIH HHS 5R01DA028525NIDA NIH HHS R01 DA028525NIMH NIH HHS F30 MH088228NIMH NIH HHS F30 MH088228-04
6 · The paper itself

Abstract

Great progress has been made toward understanding the properties of single neurons, yet the principles underlying interactions between neurons remain poorly understood. Given that connectivity in the neocortex is locally dense through both horizontal and vertical connections, it is of particular importance to characterize the activity structure of local populations of neurons arranged in three dimensions. However, techniques for simultaneously measuring microcircuit activity are lacking. We developed an in vivo 3D high-speed, random-access two-photon microscope that is capable of simultaneous 3D motion tracking. This allows imaging from hundreds of neurons at several hundred Hz, while monitoring tissue movement. Given that motion will induce common artifacts across the population, accurate motion tracking is absolutely necessary for studying population activity with random-access based imaging methods. We demonstrate the potential of this imaging technique by measuring the correlation structure of large populations of nearby neurons in the mouse visual cortex, and find that the microcircuit correlation structure is stimulus-dependent. Three-dimensional random access multiphoton imaging with concurrent motion tracking provides a novel, powerful method to characterize the microcircuit activity in vivo.

Indexed as

AnimalsImaging, Three-DimensionalMiceMicroscopy, Fluorescence, MultiphotonNerve NetNeuronsVisual Cortexacousto-optical deflectorscorrelation structuremicrocircuit activitymotion-trackingpopulation codingtwo-photon imaging

Identifiers

PMID24133414
PMCPMC3794294

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Registered trials

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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.