Evidence map›Paper›PMID 41736877›Full record

ReviewFrontiers in psychology2026

Crossmodal counterpoint: from music to multimedia - incongruency, cognitive dissonance, irony, and surrealism.

Charles Spence, Nicola Di Stefano

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 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

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

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

2 authors.

Charles SpenceCrossmodal Research Laboratory, Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
Nicola Di StefanoInstitute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laboratory-based research on multisensory perception often presents participants with unpredictable combinations of auditory and visual stimuli that may be classed (by the experimenter) as either congruent or incongruent. Cognitive neuroscientists generally assume that congruent combinations of experimental stimuli will be processed more fluently and lead to enhanced crossmodal binding and multisensory integration than will incongruent combinations of stimuli. Typically, however, the participants involved in such laboratory research are given little if any information (or context) to explain why these seemingly random combinations of sensory stimuli are being presented. This situation differs markedly from the deliberate combination of eye and ear in an artistic context (say when music is added to film). In the latter case, conflict is sometimes introduced deliberately into a scene. A film director might, for example, choose to combine violent onscreen action with uplifting happy music. The presentation of such audiovisual emotional incongruency invites the viewer to reflect on what they are experiencing, and why this particular combination of stimuli has been chosen. Such crossmodal counterpoint (or cognitive dissonance) is sometimes used as a rhetorical device to introduce a note of irony. It is interesting to note how, in such cases, there is little sense of averaging the sensory inputs (or their emotional effects) as is so often seen when congruent inputs are presented in cognitive psychology studies. In this narrative historical review, we take a critical look at the concept of crossmodal counterpoint, and review the research and theorizing on its use.

Indexed as

conflictcounterpointdissonance(in)congruencymultimediaresonancesurrealism

Identifiers

PMID41736877
PMCPMC12926423

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.