Evidence map›Paper›PMID 24495812›Full record

ArticleNeuroImage2014

Contrast gain control and horizontal interactions in V1: a DCM study.

D A Pinotsis, N Brunet, A Bastos, C A Bosman, V Litvak, P Fries, K J Friston

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.0field-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

40 citing papers in PubMed, 73 citations in OpenAlex.

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  6. In vivo ephaptic coupling allows memory network formation.Cerebral cortex (New York, N.Y. : 1991) · 2023
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  11. Layer and rhythm specificity for predictive routing.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  13. An Investigation of the Free Energy Principle for Emotion Recognition.Frontiers in computational neuroscience · 2020
    Review
  14. Article
  15. Review
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  18. Article
  19. Working Memory Load Modulates Neuronal Coupling.Cerebral cortex (New York, N.Y. : 1991) · 2019
    Article
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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

7 authors at 5 institutions in 4 countries.

D A PinotsisThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK. Electronic address: d.pinotsis@ucl.ac.uk.
N BrunetDonders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands; Department of Neurological Surgery, University of Pittsburgh, PA 15213, USA.
A BastosErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, Germany; Center for Neuroscience and Center for Mind and Brain, University of California-Davis, Davis, CA 95618, USA.
C A BosmanDonders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands; Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, 1098 XH Amsterdam, Netherlands.
V LitvakThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.
P FriesErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, Germany; Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands.
K J FristonThe Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.
Ernst Strüngmann Institute for Neuroscience · DEUniversity College London · GBNeurological Surgery · USUniversity of Amsterdam · NLWellcome Centre for Human Neuroimaging · GB

Funding

Wellcome Trust 088130Wellcome Trust 091593
6 · The paper itself

Abstract

Using high-density electrocorticographic recordings - from awake-behaving monkeys - and dynamic causal modelling, we characterised contrast dependent gain control in visual cortex, in terms of synaptic rate constants and intrinsic connectivity. Specifically, we used neural field models to quantify the balance of excitatory and inhibitory influences; both in terms of the strength and spatial dispersion of horizontal intrinsic connections. Our results allow us to infer that increasing contrast increases the sensitivity or gain of superficial pyramidal cells to inputs from spiny stellate populations. Furthermore, changes in the effective spatial extent of horizontal coupling nuance the spatiotemporal filtering properties of cortical laminae in V1 - effectively preserving higher spatial frequencies. These results are consistent with recent non-invasive human studies of contrast dependent changes in the gain of pyramidal cells elaborating forward connections - studies designed to test specific hypotheses about precision and gain control based on predictive coding. Furthermore, they are consistent with established results showing that the receptive fields of V1 units shrink with increasing visual contrast.

Indexed as

Models, NeurologicalAnimalsAttentionComputer SimulationConnectomeContrast SensitivityElectroencephalographyMacaca mulattaMaleNerve NetNeural InhibitionPyramidal CellsVisual CortexVisual FieldsAttentionConnectivityContrastDynamic causal modellingElectrocorticographyElectrophysiologyGamma oscillationsNeural field theoryV1Visual cortex

Identifiers

PMID24495812
PMCPMC4010674
OpenAlexW2081402846

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.