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:Cortical-subcortical interactions underlie processing of auditory predictions measured with 7T fMRI
Authors:Ara AProvias VSitek KCoffey EBJZatorre RJ
Link:https://pubmed.ncbi.nlm.nih.gov/39087881/
DOI:10.1093/cercor/bhae316
Publication:Cerebral cortex (New York, N.Y. : 1991)
Keywords:abstract rulesauditory expectancycortical-subcortical interactionshigh-field fMRIpredictive coding
PMID:39087881 Category: Date Added:2024-08-01
Dept Affiliation: PSYCHOLOGY
1 Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
2 International Laboratory for Brain, Music and Sound Research (BRAMS), 90 Vincent-d'Indy Avenue, Outremont, QC H2V 2S9, Canada.
3 Centre for Research in Brain, Language and Music (CRBLM), 3640 de la Montagne Street, Montreal, QC H3G 2A8, Canada.
4 Department of Psychology, Concordia University, 7141 Sherbrooke Street West, Montreal, QCH4B 1R6, Canada.
5 Department of Communication Sciences and Disorders, Northwestern University, 2240 Campus Drive, Evanston, 60208 IL, USA.

Description:

Perception integrates both sensory inputs and internal models of the environment. In the auditory domain, predictions play a critical role because of the temporal nature of sounds. However, the precise contribution of cortical and subcortical structures in these processes and their interaction remain unclear. It is also unclear whether these brain interactions are specific to abstract rules or if they also underlie the predictive coding of local features. We used high-field 7T functional magnetic resonance imaging to investigate interactions between cortical and subcortical areas during auditory predictive processing. Volunteers listened to tone sequences in an oddball paradigm where the predictability of the deviant was manipulated. Perturbations in periodicity were also introduced to test the specificity of the response. Results indicate that both cortical and subcortical auditory structures encode high-order predictive dynamics, with the effect of predictability being strongest in the auditory cortex. These predictive dynamics were best explained by modeling a top-down information flow, in contrast to unpredicted responses. No error signals were observed to deviations of periodicity, suggesting that these responses are specific to abstract rule violations. Our results support the idea that the high-order predictive dynamics observed in subcortical areas propagate from the auditory cortex.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University