Keyword search (4,163 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: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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