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Enregistrement W2330013887 · doi:10.1097/01.hj.0000459166.76675.80

Music Perception and Enjoyment Show Little Association in CI Users

2014· article· en· W2330013887 sur OpenAlexaboutno aff
Alice He, Charles J. Limb

Notice bibliographique

RevueThe Hearing Journal · 2014
Typearticle
Langueen
DomaineNeuroscience
ThématiqueHearing Loss and Rehabilitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMelodyCochlear implantMusic perceptionPsychologyPerceptionActive listeningAssociation (psychology)MusicalLimitingRelevance (law)Auditory perceptionAudiologyMedicineCommunicationVisual artsArt

Résumé

récupéré en direct d'OpenAlex

Figure: © iStock/chaossCochlear implants (CIs) have allowed users to understand speech and interact with the auditory world. However, CI recipients still have difficulty perceiving nonspeech sounds, especially music. Music appreciation is important to evaluate in CI users because of its association with quality of life, personal expression, and social connectedness.Figure: Alice HeCochlear implant recipients have difficulty recognizing musical melodies, identifying instrument sounds, and differentiating pitch. However, perceptual accuracy is not the only important aspect in music listening. The way music sounds as a whole through the cochlear implant has clinical relevance, as it relates to the user's ability to appreciate and enjoy music in everyday life.Figure: Charles J. Limb, MDWhile one might anticipate a direct link between cochlear implant recipients’ ability to perceive music accurately and their degree of music appreciation, the early literature has not supported this idea. In fact, some studies suggest exactly the opposite—that there is little to no relationship between music perception and appraisal in CI users ( J Am Acad Audiol 2012;23[5]:350-365http://aaa.publisher.ingentaconnect.com/content/aaa/jaaa/2012/00000023/00000005/art00006). However, these previous results were obtained from small cohorts of cochlear implant recipients in controlled laboratory settings, with tests that require significant time to administer, limiting their applicability in clinical settings. In a new study, Ward R. Drennan, PhD, and colleagues evaluated the correlation between music perception and appraisal among a large cohort of CI users in clinical settings. The authors used shorter music tests to determine if these assessments could be administered in the clinic and whether findings would be consistent with previous results from smaller sample sizes. Clinical Evaluation of Music Perception, Appraisal, and Experience in Cochlear Implant Users Drennan WR, Oleson JJ, Gfeller K, et al Int J Audiol Sept. 1, 2014; e-pub ahead of printhttp://informahealthcare.com/doi/abs/10.3109/14992027.2014.948219 The Clinical Assessment of Music Perception (CAMP) test is commonly used in some laboratories to study CI users’ music perception ( Otol Neurotol 2008;29[2]:149-155http://journals.lww.com/otology-neurotology/Abstract/2008/02000/Clinical_Assessment_of_Music_Perception_in.10.aspx; Ear Hear 2009;30[4]:411-418http://journals.lww.com/ear-hearing/Abstract/2009/08000/Development_and_Validation_of_the_University_of.4.aspx). The CAMP includes three separate perception tests, each designed to evaluate a different element of music perception ability: pitch direction discrimination, familiar melody recognition, and timbre recognition. Since these three elements are relevant to music listening and enjoyment, Dr. Drennan et al used the CAMP test to study music perception. To assess music appraisal, the researchers used the Iowa Musical Background Questionnaire (IMBQ). In the IMBQ, CI recipients described the quality of music heard through their cochlear implant by rating six bipolar adjectives on a scale of zero to 10: clear versus fuzzy, easy to follow versus difficult to follow, like versus dislike, sounds unlike music versus sounds like music, unnatural versus natural, and unpleasant versus pleasant. Prior research identified these comparisons as relevant to music listening. The CAMP test and IMBQ were administered to 145 CI listeners across 14 clinical sites in the United States and Canada. It took 30 minutes to 35 minutes to administer the CAMP test, and another 15 minutes to 25 minutes to complete the IMBQ. These time frames are reasonable for administration in the clinic—a major advantage in terms of practical feasibility, the authors noted. WEAK RELATIONSHIP REPORTED In their group of cochlear implant users from several clinical settings, Dr. Drennan and colleagues found weak relationships between CAMP results and IMBQ musical sound quality scores. There was a statistically significant but slight correlation between the CAMP's timbre test component and music appraisal, suggesting a relatively weak association between the two. All other relationships were deemed insignificant. This lack of a strong association, which is consistent with the findings of previous studies ( J Am Acad Audiol 2012;23[5]:350-365http://aaa.publisher.ingentaconnect.com/content/aaa/jaaa/2012/00000023/00000005/art00006; J Am Acad Audiol 2008;19[2]:120-134http://aaa.publisher.ingentaconnect.com/content/aaa/jaaa/2008/00000019/00000002/art00003) means that in order to fully evaluate CI music functionality, it is not sufficient to test either music perception or music appraisal alone. Both measures need to be evaluated, as sufficiency or deficiency in one aspect does not correlate with the same result in the other aspect. These results also highlight the limitations of subjective musical sound quality assessment and the possible benefits of objective approaches ( Otol Neurotol 2012;33[3]:319-327http://journals.lww.com/otology-neurotology/Abstract/2012/04000/Assessment_of_Sound_Quality_Perception_in_Cochlear.7.aspx). In an objective approach, the goal is not to evaluate how pleasant or unpleasant music may sound, or whether the CI user enjoys it. Rather, the goal is to measure the capacity of a cochlear implant user to detect a deterioration of sound quality in response to experimental manipulation of any given sound parameter. MANY FACTORS AFFECT ENJOYMENT Dr. Drennan and colleagues noted limitations of their study design. For example, the CAMP was conducted without hearing aids, even if listeners used hearing aids regularly. While the IMBQ questionnaire asked about music appraisal based on real-world musical listening experiences, the CAMP used simple, controlled sound stimuli to assess basic music perception abilities instead of using real-world stimuli. To some extent, these study design decisions might have affected CI users’ music test scores. Despite these potential limitations, the authors make a compelling argument that perceptual acuity is not closely related to music appraisal ratings. In other words, cochlear implant users can have poor perceptual abilities and still feel that music sounds good or is highly enjoyable. Conversely, CI users can perceive various aspects of music well while feeling that music sounds poor or not enjoying what they are able to hear. The study by Dr. Drennan and colleagues underscores the notion that the musical experience is linked to many factors. Furthermore, these findings suggest that studying individual elements of music in isolation may not accurately reflect the perceptual salience of music when it's presented in its natural form—a composite of a wide range of components. In this study, the authors demonstrated that there is little to no relationship between music acuity and music appraisal. Both aspects are important clinical outcomes, as one addresses patient functionality and ability (acuity), while the other addresses patient feeling and overall satisfaction with music quality (appraisal). These findings strongly suggest the need for further research to overcome limitations in cochlear implant users’ ability to perceive music, and to understand the factors that limit enjoyment or satisfaction in music listening.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,890
Score d'incertitude au seuil0,193

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,275
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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