Evidence map›Paper›PMID 27153980›Full record

ArticleNeuroImage2016

MEG sensor and source measures of visually induced gamma-band oscillations are highly reliable.

H-R M Tan, J Gross, P J Uhlhaas

Abstract read
In one paragraph

Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  12. No Evidence for Entrainment: Endogenous Gamma Oscillations and Rhythmic Flicker Responses Coexist in Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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  14. Three-Year Reliability of MEG Visual and Somatosensory Responses.Cerebral cortex (New York, N.Y. : 1991) · 2021
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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

3 authors.

H-R M TanCentre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology (INP), College of Medical, Veterinary and Life Sciences, College of Science and Engineering, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, United Kingdom. Electronic address: Heng-RuMay.Tan@glasgow.ac.uk.
J GrossCentre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology (INP), College of Medical, Veterinary and Life Sciences, College of Science and Engineering, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, United Kingdom.
P J UhlhaasCentre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology (INP), College of Medical, Veterinary and Life Sciences, College of Science and Engineering, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, United Kingdom.

Funding

Medical Research Council MR/N003403/1Wellcome Trust
6 · The paper itself

Abstract

High frequency brain oscillations are associated with numerous cognitive and behavioral processes. Non-invasive measurements using electro-/magnetoencephalography (EEG/MEG) have revealed that high frequency neural signals are heritable and manifest changes with age as well as in neuropsychiatric illnesses. Despite the extensive use of EEG/MEG-measured neural oscillations in basic and clinical research, studies demonstrating test-retest reliability of power and frequency measures of neural signals remain scarce. Here, we evaluated the test-retest reliability of visually induced gamma (30-100Hz) oscillations derived from sensor and source signals acquired over two MEG sessions. The study required participants (N=13) to detect the randomly occurring stimulus acceleration while viewing a moving concentric grating. Sensor and source MEG measures of gamma-band activity yielded comparably strong reliability (average intraclass correlation, ICC=0.861). Peak stimulus-induced gamma frequency (53-72Hz) yielded the highest measures of stability (ICCsensor=0.940; ICCsource=0.966) followed by spectral signal change (ICCsensor=0.890; ICCsource=0.893) and peak frequency bandwidth (ICCsensor=0.856; ICCsource=0.622). Furthermore, source-reconstruction significantly improved signal-to-noise for spectral amplitude of gamma activity compared to sensor estimates. Our assessments highlight that both sensor and source derived estimates of visually induced gamma-band oscillations from MEG signals are characterized by high test-retest reliability, with source derived oscillatory measures conferring an improvement in the stability of peak-frequency estimates. Importantly, our finding of high test-retest reliability supports the feasibility of pharma-MEG studies and longitudinal aging or clinical studies.

Indexed as

AdultBiological ClocksBrain MappingFemaleGamma RhythmHumansMagnetoencephalographyMaleMotion PerceptionNerve NetPhotic StimulationReproducibility of ResultsSensitivity and SpecificityVisual CortexDICS beamformingMagnetoencephalography (MEG)Test–retest reliabilityTime-frequency analysisVisually induced gamma (30–100Hz) response

Identifiers

PMID27153980
PMCPMC5405052

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LicenceCC BY
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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.