Keyword search (4,164 papers available)

"Music" Keyword-tagged Publications:

Title Authors PubMed ID
1 Cross-modal synchrony between music and visual motion modulates vection, urge to move, and comfort in VR Van Kerrebroeck B; Spiech C; Penhune V; Wanderley MM; 41867666
PSYCHOLOGY
2 Biotuner: A python toolbox integrating music theory and signal processing for harmonic analysis of physiological and natural time series Bellemare-Pepin A; Jerbi K; 41269470
PSYCHOLOGY
3 Body maps of the sensation of musical groove Witek MAG; Matthews TE; Bechtold TA; Penhune V; 41064243
PSYCHOLOGY
4 Speech, Timbre, and Pitch Perception in Cochlear Implant Users With Flat-Panel CT-Based Frequency Reallocations: A Longitudinal Prospective Study Gilbert ML; Lewis RM; Deroche MLD; Jiam NT; Jiradejvong P; Mo J; Cooke DL; Limb CJ; 40689899
PSYCHOLOGY
5 Topography of Functional Organization of Beat Perception in Human Premotor Cortex: Causal Evidence From a Transcranial Magnetic Stimulation (TMS) Study Lazzari G; Costantini G; La Rocca S; Massironi A; Cattaneo L; Penhune V; Lega C; 40344601
PSYCHOLOGY
6 Auditory working memory mechanisms mediating the relationship between musicianship and auditory stream segregation Liu M; Arseneau-Bruneau I; Farrés Franch M; Latorre ME; Samuels J; Issa E; Payumo A; Rahman N; Loureiro N; Leung TCM; Nave KM; von Handorf KM; Hoddinott JD; Coffey EBJ; Grahn J; Zatorre RJ; 40226491
PSYCHOLOGY
7 Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians Matthews TE; Lumaca M; Witek MAG; Penhune VB; Vuust P; 39052097
PSYCHOLOGY
8 Context changes judgments of liking and predictability for melodies Albury AW; Bianco R; Gold BP; Penhune VB; 38034280
PSYCHOLOGY
9 Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms Pando-Naude V; Matthews TE; Højlund A; Jakobsen S; Østergaard K; Johnsen E; Garza-Villarreal EA; Witek MAG; Penhune V; Vuust P; 37724707
PSYCHOLOGY
10 Using cortico-cerebellar structural patterns to classify early- and late-trained musicians Shenker JJ; Steele CJ; Zatorre RJ; Penhune VB; 37326147
PSYCHOLOGY
11 Background Music and Memory in Mild Cognitive Impairment: The Role of Interindividual Differences Calabria M; Ciongoli F; Grunden N; Ordás C; García-Sánchez C; 36806508
PSYCHOLOGY
12 Group Telehealth Music Therapy With Caregivers: A Qualitative Inquiry Brault A; Vaillancourt G; 35734471
CONCORDIA
13 Early musical training shapes cortico-cerebellar structural covariation Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; 34657166
PSYCHOLOGY
14 Understanding Sensitive Period Effects in Musical Training Virginia B Penhune 34435343
PSYCHOLOGY
15 What you learn & when you learn it: Impact of early bilingual & music experience on the structural characteristics of auditory-motor pathways Vaquero L; Rousseau PN; Vozian D; Klein D; Penhune V; 32119984
PSYCHOLOGY
16 MAP: A Personalized Receptive Music Therapy Intervention to Improve the Affective Well-being of Youths Hospitalized in a Mental Health Unit. Archambault K, Vaugon K, Deumié V, Brault M, Perez RM, Peyrin J, Vaillancourt G, Garel P 31742643
CONCORDIA
17 The descending motor tracts are different in dancers and musicians. Giacosa C, Karpati FJ, Foster NEV, Hyde KL, Penhune VB 31620887
PSYCHOLOGY
18 Dance and music share gray matter structural correlates. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 27923638
IMAGING
19 A piano training program to improve manual dexterity and upper extremity function in chronic stroke survivors Villeneuve M; Penhune V; Lamontagne A; 25202258
PSYCHOLOGY
20 The Impact of Instrument-Specific Musical Training on Rhythm Perception and Production Matthews TE; Thibodeau JN; Gunther BP; Penhune VB; 26869969
PSYCHOLOGY
21 Rhythm and Melody Tasks for School-Aged Children With and Without Musical Training: Age-Equivalent Scores and Reliability Ireland K; Parker A; Foster N; Penhune V; 29674984
PSYCHOLOGY
22 Neural network retuning and neural predictors of learning success associated with cello training Wollman I; Penhune V; Segado M; Carpentier T; Zatorre RJ; 29891670
PSYCHOLOGY
23 White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians Vaquero L; Ramos-Escobar N; François C; Penhune V; Rodríguez-Fornells A; 29929006
MLNP

 

Title:Speech, Timbre, and Pitch Perception in Cochlear Implant Users With Flat-Panel CT-Based Frequency Reallocations: A Longitudinal Prospective Study
Authors:Gilbert MLLewis RMDeroche MLDJiam NTJiradejvong PMo JCooke DLLimb CJ
Link:https://pubmed.ncbi.nlm.nih.gov/40689899/
DOI:10.1097/MAO.0000000000004595
Publication:Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
Keywords:Anatomy based fittingCochlear implantsFrequency allocation tablesMusic perceptionSpeech perception
PMID:40689899 Category: Date Added:2025-07-21
Dept Affiliation: PSYCHOLOGY
1 Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA.
2 Department of Psychology, Concordia University, Montreal, QC, Canada.
3 School of Medicine, University of California, Davis, CA.
4 Department of Neurointerventional Radiology, University of California, San Francisco, CA.

Description:

Hypothesis: To determine whether chronic use of experimental computed tomography (CT)-based frequency allocations would improve cochlear implant (CI) user performance in the areas of speech and music perception, as compared to the clinical default frequency mapping provided by the CI manufacturer.

Background: CIs utilize default frequency maps to distribute the frequency range important for speech perception across their electrode array. Clinical default frequency maps do not address the significant frequency-place mismatch that is inherent after cochlear implantation, nor the variability between individual anatomy or array lengths. Recent research has utilized postoperative high-resolution flat-panel CT imaging to measure the precise location of electrode contacts within an individual's cochlea, in order to generate a custom frequency map and decrease the frequency-place mismatch.

Methods: A cohort of 10 experienced CI users (14 CI ears) was recruited to receive CT scans and then use an experimental CT-based frequency map for 1 month. The efficacy of these maps was measured using a battery of speech and music tests.

Results: No change in speech or music performance between the Experimental and Clinical Maps was found at the group level, although there was large variability within the cohort. Greater benefit from the Experimental Map on speech in quiet tasks was correlated with better electrode array alignment in the apical (low frequency) region (rho14 = -0.55 to -0.72, p < 0.05).

Conclusion: This application of strict CT-based mapping was most beneficial for CI users with the least amount of apical-mid array frequency-place mismatch, and least beneficial for CI users with overly deep or shallow insertions. Results may be limited by long acclimation periods to clinical default frequency maps prior to CT map usage, intervention bias, and small sample size.





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