Evidence map›Paper›PMID 37153429›Full record

ArticleHeliyon2023

Moderate associations between

L Bonetti, S E P Bruzzone, T Paunio, K Kantojärvi, M Kliuchko, P Vuust, S Palva, E Brattico

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06767410 (A Multi-domain Intervention to Constrast Cognitive Decline in Healthy Aging), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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.

NCT06767410 narecruitingnot on this mapstarted 2025, after this paper: background citation

A Multi-domain Intervention to Constrast Cognitive Decline in Healthy Aging

TypeinterventionalSponsorUniversity of BariRan2025 to 2027Enrolled100ConditionsHealthy Volunteer StudyArmsMultidomain Intervention, General activities
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 3 institutions in 4 countries.

L BonettiCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
S E P BruzzoneNeurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
T PaunioDepartment of Psychiatry, University of Helsinki, Finland.
K KantojärviDepartment of Psychiatry, University of Helsinki, Finland.
M KliuchkoHearing Systems Section, Department of Health Technology, Technical University of Denmark, DK-2800, Kgs. Lyngby, Denmark.
P VuustCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
S PalvaHelsinki Institute of Life Sciences, Neuroscience Center, University of Helsinki, Finland.
E BratticoCenter for Music in the Brain, Department of Clinical Medicine, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Denmark.
Aarhus University · DKUniversity of Helsinki · FITechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auditory predictive processing relies on a complex interaction between environmental, neurophysiological, and genetic factors. In this view, the mismatch negativity (MMN) and intensive training on a musical instrument for several years have been used for studying environment-driven neural adaptations in audition. In addition, brain-derived neurotrophic factor (

Indexed as

Brain-Derived neurotrophic factor (BDNF)Magnetoencephalography (MEG)Mismatch negativityMusical trainingSource reconstructionVal66Met

Identifiers

PMID37153429
PMCPMC10160759
OpenAlexW4366262772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.