Evidence map›Paper›PMID 40951927›Full record

ArticleBrain and behavior2025

An Exploratory EEG Comparison of Good and Bad Readers.

María José Álvarez-Alonso, Cristina de-la-Peña Álvarez, Ricardo Scott

Abstract readComparative Study
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

María José Álvarez-AlonsoUniversidad Alfonso X El Sabio, Villanueva de la Cañada, Madrid, Spain.ORCID https://orcid.org/0000-0002-3600-1772
Cristina de-la-Peña ÁlvarezUniversidad Internacional de La Rioja, Logroño, Spain.
Ricardo ScottDepartamento De Psicología Evolutiva, Universidad De Alicante, Sant Vicent del Raspeig, Spain.

Funding

The publication of this article has been funded by Alfonso X El Sabio University under CRUE-CSIC agreements. The research was funded by the project "Effects of the modality of information presentation on the behavioral and psychophysiological evaluation of linguistic comprehension," reference (BB0036-1819), awarded under the 2018 Research Challenges Projects call of the Universidad Internacional de La Rioja (UNIR).
6 · The paper itself

Abstract

purposeThis study investigates the neurophysiological differences between proficient and struggling readers using electroencephalography (EEG).

methodEighteen participants, categorized as good or poor readers based on standardized assessments, underwent resting-state EEG recordings. The analysis focused on the alpha (8-12 Hz) and beta (13-30 Hz) frequency bands, which are crucial for cognitive and language processes.

findingsGood readers exhibited increased beta power in frontal regions and enhanced synchronization within fronto-central-parietal networks compared to poor readers. Alpha band activity showed complex associations with age, reading skills, and verbal fluency. The heightened beta activity in good readers aligns with its role in cognitive control and language processing, while stronger network connectivity suggests more efficient neural communication.

conclusionsThese findings provide insights into the neural basis of reading proficiency, highlighting the importance of distributed brain networks in skilled reading. Future research should replicate these results with larger samples and longitudinal designs.

Indexed as

BrainReadingAdolescentAdultAlpha RhythmBeta RhythmElectroencephalographyFemaleHumansMaleYoung AdultEEGfunctional connectivityneurophysiologyreading proficiency

Identifiers

PMID40951927
PMCPMC12434605

What OpenQuestion holds

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LicenceCC BY
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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.