Evidence map›Paper›PMID 29855596›Full record

ArticleScientific reports2018

Input-dependent modulation of MEG gamma oscillations reflects gain control in the visual cortex.

Elena V Orekhova, Olga V Sysoeva, Justin F Schneiderman, Sebastian Lundström, Ilia A Galuta, Dzerasa E Goiaeva, Andrey O Prokofyev, Bushra Riaz, Courtney Keeler, Nouchine Hadjikhani and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
2.0field-weighted citation impact, top 14% 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, 40 citations in OpenAlex.

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  13. Biased Orientation and Color Tuning of the Human Visual Gamma Rhythm.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  19. Prestimulus feedback connectivity biases the content of visual experiences.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

12 authors at 4 institutions in 3 countries.

Elena V OrekhovaUniversity of Gothenburg, Gillberg Neuropsychiatry Centre (GNC), Gothenburg, Sweden. orekhova.elena.v@gmail.com.
Olga V SysoevaCenter for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russia.
Justin F SchneidermanMedTech West, Gothenburg, Sweden.ORCID 0000-0002-4441-2360
Sebastian LundströmUniversity of Gothenburg, Gillberg Neuropsychiatry Centre (GNC), Gothenburg, Sweden.
Ilia A GalutaAutism Research Laboratory, Moscow State University of Psychology and Education, Moscow, Russia.
Dzerasa E GoiaevaAutism Research Laboratory, Moscow State University of Psychology and Education, Moscow, Russia.
Andrey O ProkofyevCenter for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russia.
Bushra RiazMedTech West, Gothenburg, Sweden.
Courtney KeelerMedTech West, Gothenburg, Sweden.
Nouchine HadjikhaniUniversity of Gothenburg, Gillberg Neuropsychiatry Centre (GNC), Gothenburg, Sweden.ORCID 0000-0003-4075-3106
Christopher GillbergUniversity of Gothenburg, Gillberg Neuropsychiatry Centre (GNC), Gothenburg, Sweden.
Tatiana A StroganovaCenter for Neurocognitive Research (MEG Center), Moscow State University of Psychology and Education, Moscow, Russia.
Moscow State University of Psychology & Education · RUSwedish Medtech · SEUniversity of Gothenburg · SEHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gamma-band oscillations arise from the interplay between neural excitation (E) and inhibition (I) and may provide a non-invasive window into the state of cortical circuitry. A bell-shaped modulation of gamma response power by increasing the intensity of sensory input was observed in animals and is thought to reflect neural gain control. Here we sought to find a similar input-output relationship in humans with MEG via modulating the intensity of a visual stimulation by changing the velocity/temporal-frequency of visual motion. In the first experiment, adult participants observed static and moving gratings. The frequency of the MEG gamma response monotonically increased with motion velocity whereas power followed a bell-shape. In the second experiment, on a large group of children and adults, we found that despite drastic developmental changes in frequency and power of gamma oscillations, the relative suppression at high motion velocities was scaled to the same range of values across the life-span. In light of animal and modeling studies, the modulation of gamma power and frequency at high stimulation intensities characterizes the capacity of inhibitory neurons to counterbalance increasing excitation in visual networks. Gamma suppression may thus provide a non-invasive measure of inhibitory-based gain control in the healthy and diseased brain.

Indexed as

AdolescentAdultChildFemaleGamma RhythmHumansMagnetoencephalographyMalePhotic StimulationVisual CortexYoung Adult

Identifiers

PMID29855596
PMCPMC5981429
OpenAlexW2806056209

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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.