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Record W2082941811 · doi:10.1111/ejn.12627

Coordinated plasticity in brainstem and auditory cortex contributes to enhanced categorical speech perception in musicians

2014· article· en· W2082941811 on OpenAlexafffund
Gavin M. Bidelman, Michael W. Weiss, Sylvain Moreno, Claude Alain

Bibliographic record

VenueEuropean Journal of Neuroscience · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchGRAMMY Foundation
KeywordsPsychologyAuditory cortexBrainstemNeuroplasticityPerceptionSensory systemNeuroscienceSpeech perceptionNeurocomputational speech processingAuditory perceptionCognitive psychology

Abstract

fetched live from OpenAlex

Musicianship is associated with neuroplastic changes in brainstem and cortical structures, as well as improved acuity for behaviorally relevant sounds including speech. However, further advance in the field depends on characterizing how neuroplastic changes in brainstem and cortical speech processing relate to one another and to speech-listening behaviors. Here, we show that subcortical and cortical neural plasticity interact to yield the linguistic advantages observed with musicianship. We compared brainstem and cortical neuroelectric responses elicited by a series of vowels that differed along a categorical speech continuum in amateur musicians and non-musicians. Musicians obtained steeper identification functions and classified speech sounds more rapidly than non-musicians. Behavioral advantages coincided with more robust and temporally coherent brainstem phase-locking to salient speech cues (voice pitch and formant information) coupled with increased amplitude in cortical-evoked responses, implying an overall enhancement in the nervous system's responsiveness to speech. Musicians' subcortical and cortical neural enhancements (but not behavioral measures) were correlated with their years of formal music training. Associations between multi-level neural responses were also stronger in musically trained listeners, and were better predictors of speech perception than in non-musicians. Results suggest that musicianship modulates speech representations at multiple tiers of the auditory pathway, and strengthens the correspondence of processing between subcortical and cortical areas to allow neural activity to carry more behaviorally relevant information. We infer that musicians have a refined hierarchy of internalized representations for auditory objects at both pre-attentive and attentive levels that supplies more faithful phonemic templates to decision mechanisms governing linguistic operations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations183
Published2014
Admission routes2
Has abstractyes

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