Evidence map›Paper›PMID 41395738›Full record

ArticlePsychophysiology2025

Decoding Auditory Working Memory Load From EEG Alpha Oscillations.

Yichen Yuan, Surya Gayet, Derk Christiaan Wisman, Stefan van der Stigchel, Nathan van der Stoep

Abstract read
In one paragraph

Article in Psychophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Yichen YuanDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.
Surya GayetDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0001-9728-1272
Derk Christiaan WismanDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.
Stefan van der StigchelDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.
Nathan van der StoepDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands.

Funding

China Scholarship Council 202206380011
6 · The paper itself

Abstract

Working memory (WM) enables temporary retention of task-relevant information for imminent use. Increases in visual WM load are accompanied by elevated contralateral delay activity (CDA) and EEG alpha-band power. While most WM research focuses on the visual domain, it remains unknown whether similar EEG responses also reflect WM load in the auditory domain. Using EEG, we set out to establish such neural markers of auditory WM load. Participants memorized the pitches of 1-4 pure tones presented to one ear, with 1-4 identical distractor tones presented to the other ear. Behaviorally, auditory WM capacity plateaued between set sizes two and three. Unlike for visual WM, auditory WM load was not reflected in lateralized EEG responses. This shows that the CDA is a vision-specific rather than domain-general neural marker of WM load. Applying multivariate pattern analyses on the delay activity revealed that auditory WM load is reflected in patterns of alpha-band oscillations. Surprisingly, a temporal generalization analysis revealed that the alpha patterns reflecting specific load conditions changed throughout the maintenance period (despite load being inherently constant), revealing dynamic coding of auditory WM load.

Indexed as

Alpha RhythmAuditory PerceptionMemory, Short-TermAcoustic StimulationAdultElectroencephalographyFemaleHumansMaleYoung Adultauditory working memoryCDAEEG decodingmemory capacitymodality‐specific

Identifiers

PMID41395738
PMCPMC12703828

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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.