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:Rhythm and Melody Tasks for School-Aged Children With and Without Musical Training: Age-Equivalent Scores and Reliability
Authors:Ireland KParker AFoster NPenhune V
Link:https://pubmed.ncbi.nlm.nih.gov/29674984/
DOI:10.3389/fpsyg.2018.00426
Publication:Frontiers in psychology
Keywords:age-equivalent scoresdiscriminationmusical tasksschool-aged childrensynchronization
PMID:29674984 Category:Front Psychol Date Added:2019-06-07
Dept Affiliation: PSYCHOLOGY
1 Penhune Laboratory for Motor Learning and Neural Plasticity, Department of Psychology, Concordia University, Montreal, QC, Canada.
2 International Laboratory for Brain, Music and Sound Research, Montreal, QC, Canada.

Description:

Measuring musical abilities in childhood can be challenging. When music training and maturation occur simultaneously, it is difficult to separate the effects of specific experience from age-based changes in cognitive and motor abilities. The goal of this study was to develop age-equivalent scores for two measures of musical ability that could be reliably used with school-aged children (7-13) with and without musical training. The children's Rhythm Synchronization Task (c-RST) and the children's Melody Discrimination Task (c-MDT) were adapted from adult tasks developed and used in our laboratories. The c-RST is a motor task in which children listen and then try to synchronize their taps with the notes of a woodblock rhythm while it plays twice in a row. The c-MDT is a perceptual task in which the child listens to two melodies and decides if the second was the same or different. We administered these tasks to 213 children in music camps (musicians, n = 130) and science camps (non-musicians, n = 83). We also measured children's paced tapping, non-paced tapping, and phonemic discrimination as baseline motor and auditory abilities We estimated internal-consistency reliability for both tasks, and compared children's performance to results from studies with adults. As expected, musically trained children outperformed those without music lessons, scores decreased as difficulty increased, and older children performed the best. Using non-musicians as a reference group, we generated a set of age-based z-scores, and used them to predict task performance with additional years of training. Years of lessons significantly predicted performance on both tasks, over and above the effect of age. We also assessed the relation between musician's scores on music tasks, baseline tasks, auditory working memory, and non-verbal reasoning. Unexpectedly, musician children outperformed non-musicians in two of three baseline tasks. The c-RST and c-MDT fill an important need for researchers interested in evaluating the impact of musical training in longitudinal studies, those interested in comparing the efficacy of different training methods, and for those assessing the impact of training on non-musical cognitive abilities such as language processing.





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