Evidence map›Paper›PMID 30844505›Full record

ArticleNeuroImage2019

Frequency and power of human alpha oscillations drift systematically with time-on-task.

Christopher S Y Benwell, Raquel E London, Chiara F Tagliabue, Domenica Veniero, Joachim Gross, Christian Keitel, Gregor Thut

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 177 citations in OpenAlex.

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  9. Dynamic Modulation of Beta-Band Oscillations in the LGN and Their Role in Visual Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  18. Spontaneous Alpha-Band Lateralization Extends Persistence of Visual Information in Iconic Memory by Modulating Cortical Excitability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  19. Article
  20. Article

25 more citing papers are in PubMed but not listed here.

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 4 institutions in 4 countries.

Christopher S Y BenwellPsychology, School of Social Sciences, University of Dundee, Dundee, UK; Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK. Electronic address: c.benwell@dundee.ac.uk.
Raquel E LondonDepartment of Experimental Psychology, Ghent University, 9000, Ghent, Belgium.
Chiara F TagliabueCIMEC - Center for Mind/Brain Sciences, Università degli Studi di Trento, Trento, Italy.
Domenica VenieroCentre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
Joachim GrossCentre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK; Institut für Biomagnetismus und Biosignalanalyse, Westfälische Wilhelms-Universität, Malmedyweg 15, 48149, Münster, Germany.
Christian KeitelCentre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
Gregor ThutCentre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
University of Glasgow · GBWellcome Centre for Human Neuroimaging · GBGhent University Hospital · BEUniversity of Trento · IT

Funding

Wellcome Trust 098433Wellcome Trust 098434
6 · The paper itself

Abstract

Oscillatory neural activity is a fundamental characteristic of the mammalian brain spanning multiple levels of spatial and temporal scale. Current theories of neural oscillations and analysis techniques employed to investigate their functional significance are based on an often implicit assumption: In the absence of experimental manipulation, the spectral content of any given EEG- or MEG-recorded neural oscillator remains approximately stationary over the course of a typical experimental session (∼1 h), spontaneously fluctuating only around its dominant frequency. Here, we examined this assumption for ongoing neural oscillations in the alpha-band (8-13 Hz). We found that alpha peak frequency systematically decreased over time, while alpha-power increased. Intriguingly, these systematic changes showed partial independence of each other: Statistical source separation (independent component analysis) revealed that while some alpha components displayed concomitant power increases and peak frequency decreases, other components showed either unique power increases or frequency decreases. Interestingly, we also found these components to differ in frequency. Components that showed mixed frequency/power changes oscillated primarily in the lower alpha-band (∼8-10 Hz), while components with unique changes oscillated primarily in the higher alpha-band (∼9-13 Hz). Our findings provide novel clues on the time-varying intrinsic properties of large-scale neural networks as measured by M/EEG, with implications for the analysis and interpretation of studies that aim at identifying functionally relevant oscillatory networks or at driving them through external stimulation.

Indexed as

Task Performance and AnalysisAdolescentAdultAlpha RhythmBrainBrain MappingElectroencephalographyFemaleHumansMagnetoencephalographyMalePhotic StimulationYoung AdultAlphaEEGFrequencyNon-stationarityOscillationsPower

Identifiers

PMID30844505
PMCPMC6503153
OpenAlexW2918767815

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.