Evidence map›Paper›PMID 40730131›Full record

ArticleAnnals of the New York Academy of Sciences2025

Auditory change detection in musically trained adolescents and young adults: An EEG-fMRI study.

Vesa Putkinen, Katri Saarikivi, T M Vanessa Chan-Devaere, Mari Tervaniemi

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 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

4 authors.

Vesa PutkinenTurku PET Centre, Turku University Hospital, University of Turku, Turku, Finland.ORCID 0000-0002-7457-191X
Katri SaarikiviCognitive Brain Research Unit, Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
T M Vanessa Chan-DevaereDepartment of Psychology, University of Notre Dame, Notre Dame, Indiana, USA.
Mari TervaniemiCognitive Brain Research Unit, Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musical training has been associated with enhanced auditory processing, including superior preattentive sound discrimination. However, the neural mechanisms underlying these enhancements remain unclear. This study used electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to investigate auditory deviance detection in musically trained and untrained 16-20-year-old participants. They listened to a sequence of major chord standards interspersed with minor chord deviants while watching a movie without sound in two separate sessions, once during EEG recording and once during fMRI. As expected, musically trained participants exhibited larger mismatch negativity (MMN) and P3a amplitudes, indicating enhanced neural discrimination and attentional engagement with harmonic deviations. Surprisingly, fMRI revealed that the Control group showed greater activity in Heschl's gyrus for deviant versus standard chords. This indicates that the enhanced EEG responses in the Music group were accompanied by reduced hemodynamic activity in primary auditory areas. These findings highlight the value of multimodal approaches in studying neural differences between musically trained and untrained individuals and suggest that electrophysiological and hemodynamic measures capture distinct aspects of these differences.

Indexed as

Auditory PerceptionElectroencephalographyMagnetic Resonance ImagingMusicAcoustic StimulationAdolescentFemaleHumansMaleYoung AdultfMRImismatch negativitymusical training

Identifiers

PMID40730131
PMCPMC12412711

What OpenQuestion holds

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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.