Keyword search (4,164 papers available)

"Neuroimage" Category Publications:

Title Authors PubMed ID
1 Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes Vaquero L; Ramos-Escobar N; Cucurell D; François C; Putkinen V; Segura E; Huotilainen M; Penhune V; Rodríguez-Fornells A; 33454403
MLNP
2 Cortical gradients of functional connectivity are robust to state-dependent changes following sleep deprivation. Cross N; Paquola C; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Bernhardt BC; Grova C; Dang-Vu TT; 33186718
PERFORM
3 The sensation of groove engages motor and reward networks. Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB 32217163
PSYCHOLOGY
4 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
5 Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM 31715254
PSYCHOLOGY
6 BOLD signal physiology: Models and applications. Gauthier CJ, Fan AP 29544818
IMAGING
7 ERP evidence of adaptive changes in error processing and attentional control during rhythm synchronization learning Padrão G; Penhune V; de Diego-Balaguer R; Marco-Pallares J; Rodriguez-Fornells A; 24956067
PSYCHOLOGY
8 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
9 Regional cerebellar volumes are related to early musical training and finger tapping performance. Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB 25583606
PSYCHOLOGY
10 Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity. Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A 26318050
PERFORM
11 SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity. Lee K, Lina JM, Gotman J, Grova C 27046111
PERFORM
12 L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action. Kroemer NB, Lee Y, Pooseh S, Eppinger B, Goschke T, Smolka MN 30381245
PSYCHOLOGY
13 Tracking the microstructural properties of the main white matter pathways underlying speech processing in simultaneous interpreters Elmer S; Hänggi J; Vaquero L; Cadena GO; François C; Rodríguez-Fornells A; 30831314
PSYCHOLOGY
14 Cortical reactivations during sleep spindles following declarative learning. Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT 30928690
PERFORM
15 Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data. Chowdhury RA, Merlet I, Birot G, Kobayashi E, Nica A, Biraben A, Wendling F, Lina JM, Albera L, Grova C 27561712
PERFORM
16 Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ 28159689
PERFORM
17 Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG. Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C 28619655
PERFORM

 

Title:White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians
Authors:Vaquero LRamos-Escobar NFrançois CPenhune VRodríguez-Fornells A
Link:https://pubmed.ncbi.nlm.nih.gov/29929006/
DOI:10.1016/j.neuroimage.2018.06.054
Publication:NeuroImage
Keywords:Arcuate fasciculusError-monitoringFeedback-feedforward loopMusic learningNon-expertsPredispositions
PMID:29929006 Category:Neuroimage Date Added:2019-06-07
Dept Affiliation: MLNP
1 Department of Cognition, Development and Education Psychology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Spain; Cognition & Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL), Feixa Llarga s/n, Pavelló de Govern - Edifici Modular, 08907, L'Hospitalet de Llobregat, Barcelona, Spain; Laboratory for Motor Learning and Neural Plasticity, Concordia University, 7141 Rue Sherbrooke West, H4B 1R6, Montreal, QC, Canada. Electronic address: lucia.vaquero.z@gmail.com.
2 Department of Cognition, Development and Education Psychology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Spain; Cognition & Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL), Feixa Llarga s/n, Pavelló de Govern - Edifici Modular, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
3 Laboratory for Motor Learning and Neural Plasticity, Concordia University, 7141 Rue Sherbrooke West, H4B 1R6, Montreal, QC, Canada; International Laboratory for Brain, Music and Sound Research (BRAMS), 1430 Mont Royal boul, Suite 0-114, H2V 4P3, Montreal, QC, Canada; Center for Research on Brain, Language and Music (CRBLM), McGill University, 3640 de la Montagne, H3G 2A8, Montreal, QC, Canada. Electronic address: virginia.penhune@concordia.ca.
4 Department of Cognition, Development and Education Psychology, University of Barcelona, Passeig de la Vall d'Hebron, 171, 08035, Barcelona, Spain; Cognition & Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL), Feixa Llarga s/n, Pavelló de Govern - Edifici Modular, 08907, L'Hospitalet de Llobregat, Barcelona, Spain; Institució Catalana de recerca i Estudis Avançats (ICREA), Passeig Lluís Companys, 23, 08010, Barcelona, Spain.

Description:

Music learning has received increasing attention in the last decades due to the variety of functions and brain plasticity effects involved during its practice. Most previous reports interpreted the differences between music experts and laymen as the result of training. However, recent investigations suggest that these differences are due to a combination of genetic predispositions with the effect of music training. Here, we tested the relationship of the dorsal auditory-motor pathway with individual behavioural differences in short-term music learning. We gathered structural neuroimaging data from 44 healthy non-musicians (28 females) before they performed a rhythm- and a melody-learning task during a single behavioural session, and manually dissected the arcuate fasciculus (AF) in both hemispheres. The macro- and microstructural organization of the AF (i.e., volume and FA) predicted the learning rate and learning speed in the musical tasks, but only in the right hemisphere. Specifically, the volume of the right anterior segment predicted the synchronization improvement during the rhythm task, the FA in the right long segment was correlated with the learning rate in the melody task, and the volume and FA of the right whole AF predicted the learning speed during the melody task. This is the first study finding a specific relation between different branches within the AF and rhythmic and melodic materials. Our results support the relevant function of the AF as the structural correlate of both auditory-motor transformations and the feedback-feedforward loop, and suggest a crucial involvement of the anterior segment in error-monitoring processes related to auditory-motor learning. These findings have implications for both the neuroscience of music field and second-language learning investigations.





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