Evidence map›Paper›PMID 40567560›Full record

ArticleNeuroimage. Reports2022

Whole-brain computation of cognitive versus acoustic errors in music: A mismatch negativity study.

L Bonetti, F Carlomagno, M Kliuchko, B P Gold, S Palva, N T Haumann, M Tervaniemi, M Huotilainen, P Vuust, E Brattico

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

10 authors.

L BonettiCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
F CarlomagnoCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
M KliuchkoDepartment of Health Technology, Technical University of Denmark, Denmark.
B P GoldDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
S PalvaHelsinki Institute of Life Sciences, Neuroscience Center, University of Helsinki, Finland.
N T HaumannCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
M TervaniemiCognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
M HuotilainenCognitive Brain Research Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
P VuustCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
E BratticoCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have evidenced how the local prediction of physical stimulus features may affect the neural processing of incoming stimuli. Less known are the effects of cognitive priors on predictive processes, and how the brain computes local versus cognitive predictions and their errors. Here, we determined the differential brain mechanisms underlying prediction errors related to high-level, cognitive priors for melody (rhythm, contour) versus low-level, local acoustic priors (tuning, timbre). We measured with magnetoencephalography the mismatch negativity (MMN) prediction error signal in 104 adults having varying levels of musical expertise. We discovered that the brain regions involved in early predictive processes for local priors were primary and secondary auditory cortex and insula, whereas cognitive brain regions such as cingulate and orbitofrontal cortices were recruited for early melodic errors in cognitive priors. The involvement of higher-level brain regions for computing early cognitive errors was enhanced in musicians, especially in cingulate cortex, inferior frontal gyrus, and supplementary motor area. Overall, the findings expand knowledge on whole-brain mechanisms of predictive processing and the related MMN generators, previously mainly confined to the auditory cortex, to a frontal network that strictly depends on the type of priors that are to be computed by the brain.

Identifiers

PMID40567560
PMCPMC12172885

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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.