Evidence map›Paper›PMID 42778746›Full record

ArticlePsychonomic bulletin & review2026

Musical expectations modulate declarative memory formation.

Naama Benes, Daniel Y Panitz, Shai Gabay, Avi Mendelsohn

Abstract read
In one paragraph

Article in Psychonomic bulletin & review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Naama BenesSagol Department of Neurobiology, University of Haifa, Haifa, Israel.
Daniel Y PanitzSagol Department of Neurobiology, University of Haifa, Haifa, Israel.
Shai Gabay *The Institute of Information Processing and Decision Making (IIPDM), University of Haifa, Haifa, Israel.
Avi Mendelsohn *Sagol Department of Neurobiology, University of Haifa, Haifa, Israel. avi.mendelsohn@gmail.com.ORCID http://orcid.org/0000-0003-4582-2668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music elicits powerful engagement through the generation and resolution of expectations, yet its effects on declarative memory formation remain unclear. Using predictive processing frameworks, we examined whether harmonic expectancy and prediction error modulate memory formation for concurrently presented visual stimuli. Participants listened to Bach chorales in which musical instruments probabilistically predicted consonant or dissonant endings, generating distinct expectations of outcomes. Neutral images were presented both before and after the critical musical period, and memory was tested 24 h later. At the period where the music either changed to dissonant or remained consonant, participants were prompted to rate whether the music was pleasant or unpleasant at that time. Participants showed robust sensitivity to harmonic structure, rating consonant endings as pleasant and responding faster to dissonant endings. Critically, unsigned prediction error magnitude positively predicted subsequent recognition accuracy and confidence. Whereas the relationship between prediction error and recognition accuracy did not reliably differ across temporal periods, its relationship with confidence was significantly stronger for images encoded in the anticipatory period preceding the musical transition. These findings indicate that musical expectations modulate declarative memory, with temporal specificity evident for subjective confidence, suggesting that prediction-related processes gate episodic encoding in a graded, time-dependent manner.

Indexed as

Anticipation, PsychologicalAuditory PerceptionMemoryMusicRecognition, PsychologyAdultFemaleHumansMaleOutcome ExpectationsYoung AdultLong-term episodic memoryMusic cognitionReinforcement learningSound recognition

Identifiers

PMID42778746
PMCPMC13601126

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.