Evidence map›Paper›PMID 32352973›Full record

ArticlePLoS computational biology2020

Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra.

Agus Hartoyo, Peter J Cadusch, David T J Liley, Damien G Hicks

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Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  5. Evolutionary origin of alpha rhythms in vertebrates.Frontiers in behavioral neuroscience · 2024
    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

4 authors.

Agus HartoyoOptical Sciences Centre, Swinburne University of Technology, Hawthorn, Victoria, Australia.ORCID 0000-0002-8285-8689
Peter J CaduschDepartment of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Victoria, Australia.
David T J LileyCentre for Human Psychopharmacology, School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Damien G HicksOptical Sciences Centre, Swinburne University of Technology, Hawthorn, Victoria, Australia.ORCID 0000-0001-8322-9983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha blocking, a phenomenon where the alpha rhythm is reduced by attention to a visual, auditory, tactile or cognitive stimulus, is one of the most prominent features of human electroencephalography (EEG) signals. Here we identify a simple physiological mechanism by which opening of the eyes causes attenuation of the alpha rhythm. We fit a neural population model to EEG spectra from 82 subjects, each showing a different degree of alpha blocking upon opening of their eyes. Though it has been notoriously difficult to estimate parameters by fitting such models, we show how, by regularizing the differences in parameter estimates between eyes-closed and eyes-open states, we can reduce the uncertainties in these differences without significantly compromising fit quality. From this emerges a parsimonious explanation for the spectral differences between states: Changes to just a single parameter, pei, corresponding to the strength of a tonic excitatory input to the inhibitory cortical population, are sufficient to explain the reduction in alpha rhythm upon opening of the eyes. We detect this by comparing the shift in each model parameter between eyes-closed and eyes-open states. Whereas changes in most parameters are weak or negligible and do not scale with the degree of alpha attenuation across subjects, the change in pei increases monotonically with the degree of alpha blocking observed. These results indicate that opening of the eyes reduces alpha activity by increasing external input to the inhibitory cortical population.

Indexed as

Alpha RhythmElectroencephalographySignal Processing, Computer-AssistedAttentionBrain MappingHumansModels, NeurologicalNeuronsNormal Distribution

Identifiers

PMID32352973
PMCPMC7217488

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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.