Evidence map›Paper›PMID 31797968›Full record

ArticleScientific reports2019

Coherent resonance in the distributed cortical network during sensory information processing.

Alexander N Pisarchik, Vladimir A Maksimenko, Andrey V Andreev, Nikita S Frolov, Vladimir V Makarov, Maxim O Zhuravlev, Anastasija E Runnova, Alexander E Hramov

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Alexander N PisarchikCenter for Biomedical Technology, Technical University of Madrid, Pozuelo de Alarcón, Madrid, Spain.ORCID http://orcid.org/0000-0003-2471-2507
Vladimir A MaksimenkoNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.
Andrey V AndreevNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.ORCID http://orcid.org/0000-0001-6642-4517
Nikita S FrolovNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.
Vladimir V MakarovNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.
Maxim O ZhuravlevNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.
Anastasija E RunnovaNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia.
Alexander E HramovNeuroscience and Cognitive Technology Laboratory, Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya str., Innopolis, The Republic of Tatarstan, Russia. hramovae@gmail.com.ORCID http://orcid.org/0000-0003-2787-2530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal brain network is a distributed computing system, whose architecture is dynamically adjusted to provide optimal performance of sensory processing. A small amount of visual information needed effortlessly be processed, activates neural activity in occipital and parietal areas. Conversely, a visual task which requires sustained attention to process a large amount of sensory information, involves a set of long-distance connections between parietal and frontal areas coordinating the activity of these distant brain regions. We demonstrate that while neural interactions result in coherence, the strongest connection is achieved through coherence resonance induced by adjusting intrinsic brain noise.

Identifiers

PMID31797968
PMCPMC6892867

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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.