| Keyword search (4,163 papers available) | ![]() |
"Zatorre RJ" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | 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 |
| 2 | Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG | Bedford O; Noly-Gandon A; Ara A; Wiesman AI; Albouy P; Baillet S; Penhune V; Zatorre RJ; | 39757971 PSYCHOLOGY |
| 3 | Cortical-subcortical interactions underlie processing of auditory predictions measured with 7T fMRI | Ara A; Provias V; Sitek K; Coffey EBJ; Zatorre RJ; | 39087881 PSYCHOLOGY |
| 4 | Using cortico-cerebellar structural patterns to classify early- and late-trained musicians | Shenker JJ; Steele CJ; Zatorre RJ; Penhune VB; | 37326147 PSYCHOLOGY |
| 5 | Early musical training shapes cortico-cerebellar structural covariation | Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; | 34657166 PSYCHOLOGY |
| 6 | Effector-independent brain network for auditory-motor integration: fMRI evidence from singing and cello playing | Segado M; Zatorre RJ; Penhune VB; | 33989814 PSYCHOLOGY |
| 7 | Evolving perspectives on the sources of the frequency-following response. | Coffey EBJ, Nicol T, White-Schwoch T, Chandrasekaran B, Krizman J, Skoe E, Zatorre RJ, Kraus N | 31695046 PSYCHOLOGY |
| 8 | Partially Overlapping Brain Networks for Singing and Cello Playing. | Segado M, Hollinger A, Thibodeau J, Penhune V, Zatorre RJ | 29892211 PSYCHOLOGY |
| 9 | 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 |
| 10 | Rhythm and time in the premotor cortex. | Penhune VB, Zatorre RJ | 31158227 PSYCHOLOGY |
| 11 | Practice makes plasticity. | Steele CJ, Zatorre RJ | 30482944 PSYCHOLOGY |
| 12 | The Music-In-Noise Task (MINT): A Tool for Dissecting Complex Auditory Perception. | Coffey EBJ, Arseneau-Bruneau I, Zhang X, Zatorre RJ | 30930734 PSYCHOLOGY |
| Title: | Auditory working memory mechanisms mediating the relationship between musicianship and auditory stream segregation | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40226491/ | ||||
| DOI: | 10.3389/fpsyg.2025.1538511 | ||||
| Publication: | Frontiers in psychology | ||||
| Keywords: | auditory stream segregation; auditory working memory; hearing-in-noise; music perception; musical training; | ||||
| PMID: | 40226491 | Category: | Date Added: | 2025-04-14 | |
| Dept Affiliation: |
PSYCHOLOGY
1 Montreal Neurological Institute, McGill University, Montreal, QC, Canada. 2 Centre for Research in Brain, Language and Music, Montreal, QC, Canada. 3 Department of Psychology and Centre for Brain and Mind, Western University, London, ON, Canada. 4 Department of Psychology, Concordia University, Montreal, QC, Canada. |
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Description: |
This study investigates the interactions between musicianship and two auditory cognitive processes: auditory working memory (AWM) and stream segregation. The primary hypothesis is that AWM could mediate a relationship between musical training and enhanced stream segregation capabilities. Two groups of listeners were tested: the first aimed to establish the relationship between the three variables, and the second aimed to replicate the effect in an independent sample. Music experience history and behavioral data were collected from a total of 145 healthy young adults with normal binaural hearing. The AWM task involved the manipulation of tonal patterns in working memory, while the Music-in-Noise Task (MINT) measured stream segregation abilities in a tonal context. The MINT expands measurements beyond traditional Speech-in-Noise assessments by capturing auditory subskills (rhythm, visual, spatial attention, prediction) relevant to stream segregation. Our results showed that musical training is associated with enhanced AWM and MINT performance and that this effect is replicable across independent samples. Moreover, we found in both samples that the enhancement of stream segregation was largely mediated by AWM capacity. The results suggest that musical training and/or aptitude enhances stream segregation by way of improved AWM capacity. |



