Evidence map›Paper›PMID 32066581›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020

Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex.

Sidrat Tasawoor Kanth, Supratim Ray

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  4. Conjunctive population coding integrates sensory evidence to guide adaptive behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  11. Subspace partitioning in the human prefrontal cortex resolves cognitive interference.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  15. Multi-scale neural decoding and analysis.Journal of neural engineering · 2021
    Review
  16. Aperiodic sleep networks promote memory consolidation.Trends in cognitive sciences · 2021
    Review
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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

2 authors at 2 institutions in 2 countries.

Sidrat Tasawoor KanthIISc Mathematics Initiative, and.ORCID 0000-0003-0252-8346
Supratim RayIISc Mathematics Initiative, and sray@iisc.ac.in.ORCID 0000-0002-1968-1382
Interaction Institute for Social Change · USU.S. President's Malaria Initiative · US

Funding

DBT-Wellcome Trust India Alliance 500145-Z-09-ZWellcome Trust
6 · The paper itself

Abstract

Neural signals recorded at different scales contain information about environment and behavior and have been used to control Brain Machine Interfaces with varying degrees of success. However, a direct comparison of their efficacy has not been possible due to different recording setups, tasks, species, etc. To address this, we implanted customized arrays having both microelectrodes and electrocorticogram (ECoG) electrodes in the primary visual cortex of 2 female macaque monkeys, and also recorded electroencephalogram (EEG), while they viewed a variety of naturalistic images and parametric gratings. Surprisingly, ECoG had higher information and decodability than all other signals. Combining a few ECoG electrodes allowed more accurate decoding than combining a much larger number of microelectrodes. Control analyses showed that higher decoding accuracy of ECoG compared with local field potential was not because of differences in low-level visual features captured by them but instead because of larger spatial summation of the ECoG. Information was high in the 30-80 Hz range and at lower frequencies. Information in different frequencies and scales was nonredundant. These results have strong implications for Brain Machine Interface applications and for study of population representation of visual stimuli.

Indexed as

Brain-Computer InterfacesElectrocorticographyAnimalsBehavior, AnimalBrain MappingElectrodes, ImplantedElectroencephalographyElectrophysiological PhenomenaEvoked Potentials, VisualFemaleMacaca radiataMicroelectrodesPhotic StimulationVisual CortexBMIelectrocorticogramLFPnatural imagesprimary visual cortex

Identifiers

PMID32066581
PMCPMC7083524
OpenAlexW3005597021

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.