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Record W4396985929 · doi:10.1525/mp.2024.41.5.378

Jazz Piano Training Modulates Neural Oscillations and Executive Functions in Older Adults

2024· article· en· W4396985929 on OpenAlexaff
Jennifer A. Bugos, Ayo A. Gbadamosi, Denis Laesker, Ricky Chow, Sofia Sirocchi, Martin Norgaard, Jazmin Deborah Ghent, Claude Alain

Bibliographic record

VenueMusic Perception An Interdisciplinary Journal · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsBaycrest HospitalUniversity of TorontoYork University
Fundersnot available
KeywordsPianoJazzPsychologyTraining (meteorology)Executive functionsNeural systemCognitive psychologyNeuroscienceCommunicationPhysical medicine and rehabilitationSpeech recognitionComputer sciencePhysicsArtCognitionVisual artsAcousticsMedicineMeteorology

Abstract

fetched live from OpenAlex

Musical improvisation is one of the most complex forms of creative behavior, often associated with increased executive functions. However, most traditional piano programs do not include improvisation skills. This research examined the effects of music improvisation in a novel jazz piano training intervention on executive functions and neural oscillatory activity in healthy older adults. Forty adults were recruited and randomly assigned to either jazz piano training (n = 20, 10 females) or a control group (n = 20, 13 females). The jazz piano training program included aural skills, basic technique, improvisation, and repertoire with 30 hours of training over 10 days. All participants at pre- and post-testing completed a battery of standardized cognitive measures (i.e., processing speed, inhibition, verbal fluency), and neurophysiological data was recorded during resting state and a musical improvisation task using electroencephalography (EEG). Results showed significantly enhanced processing speed and inhibition performance for those who received jazz piano training as compared to controls. EEG data revealed changes in frontal theta power during improvisation in the training group compared to controls. Learning to improvise may contribute to cognitive performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.329
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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