Keyword search (4,163 papers available)

"Penhune V" Authored 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 Continuous Theta Burst to Supplementary Motor Area Modulates Groove Spiech C; Martínez MG; Lazzari G; Penhune V; 41511416
PSYCHOLOGY
3 4/4 and more, rhythmic complexity more strongly predicts groove in common meters Spiech C; Câmara GS; Fuhrer J; Penhune V; 41402552
PSYCHOLOGY
4 Imagining the beat: causal evidence for dorsal premotor cortex (dPMC) role in beat imagery via transcranial magnetic stimulation (TMS) Lazzari G; Ferreri L; Cattaneo L; Penhune V; Lega C; 41248776
PSYCHOLOGY
5 Body maps of the sensation of musical groove Witek MAG; Matthews TE; Bechtold TA; Penhune V; 41064243
PSYCHOLOGY
6 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
7 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
8 Attention, working memory, and inhibitory control in aging: Comparing amateur singers, instrumentalists, and active controls Joyal M; Sicard A; Penhune V; Jackson PL; Tremblay P; 39367878
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 Musicians and non-musicians show different preference profiles for single chords of varying harmonic complexity Witek MAG; Matthews T; Bodak R; Blausz MW; Penhune V; Vuust P; 36730271
PSYCHOLOGY
11 Neurophysiological Changes Induced by Music-Supported Therapy for Recovering Upper Extremity Function after Stroke: A Case Series Ghai S; Maso FD; Ogourtsova T; Porxas AX; Villeneuve M; Penhune V; Boudrias MH; Baillet S; Lamontagne A; 34065395
PSYCHOLOGY
12 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
13 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
14 Partially Overlapping Brain Networks for Singing and Cello Playing. Segado M, Hollinger A, Thibodeau J, Penhune V, Zatorre RJ 29892211
PSYCHOLOGY
15 The effect of early musical training on adult motor performance: evidence for a sensitive period in motor learning Penhune V; Watanabe D; Savion-Lemieux T; 16597774
MLNP
16 Time for new thinking about sensitive periods Penhune V; de Villers-Sidani E; 24782723
MLNP
17 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
18 A piano training program to improve manual dexterity and upper extremity function in chronic stroke survivors Villeneuve M; Penhune V; Lamontagne A; 25202258
PSYCHOLOGY
19 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
20 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
21 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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