Keyword search (4,163 papers available)

"Penhune VB" Authored Publications:

Title Authors PubMed ID
1 Tuned to walk: cue type, beat perception, and gait dynamics during rhythmic stimulation in aging Parker A; Dalla Bella S; Penhune VB; Young L; Grenet D; Li KZH; 41661338
PSYCHOLOGY
2 Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ; 39791308
SOH
3 The pleasurable urge to move to music is unchanged in people with musical anhedonia Romkey ID; Matthews T; Foster N; Dalla Bella S; Penhune VB; 39774498
PSYCHOLOGY
4 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
5 Context changes judgments of liking and predictability for melodies Albury AW; Bianco R; Gold BP; Penhune VB; 38034280
PSYCHOLOGY
6 Using cortico-cerebellar structural patterns to classify early- and late-trained musicians Shenker JJ; Steele CJ; Zatorre RJ; Penhune VB; 37326147
PSYCHOLOGY
7 Early musical training shapes cortico-cerebellar structural covariation Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; 34657166
PSYCHOLOGY
8 Effector-independent brain network for auditory-motor integration: fMRI evidence from singing and cello playing Segado M; Zatorre RJ; Penhune VB; 33989814
PSYCHOLOGY
9 The sensation of groove engages motor and reward networks. Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB 32217163
PSYCHOLOGY
10 Music predictability and liking enhance pupil dilation and promote motor learning in non-musicians. Bianco R, Gold BP, Johnson AP, Penhune VB 31745159
PSYCHOLOGY
11 The descending motor tracts are different in dancers and musicians. Giacosa C, Karpati FJ, Foster NEV, Hyde KL, Penhune VB 31620887
PSYCHOLOGY
12 Dance and music share gray matter structural correlates. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 27923638
IMAGING
13 Efficacy of Auditory versus Motor Learning for Skilled and Novice Performers. Brown RM, Penhune VB 30156505
IMAGING
14 The effects of practice and delay on motor skill learning and retention Savion-Lemieux T; Penhune VB; 15551084
MLNP
15 Developmental contributions to motor sequence learning Savion-Lemieux T; Bailey JA; Penhune VB; 19363605
CONCORDIA
16 Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning Penhune VB; Steele CJ; 22004979
PSYCHOLOGY
17 The Impact of Instrument-Specific Musical Training on Rhythm Perception and Production Matthews TE; Thibodeau JN; Gunther BP; Penhune VB; 26869969
PSYCHOLOGY
18 The sensation of groove is affected by the interaction of rhythmic and harmonic complexity Matthews TE; Witek MAG; Heggli OA; Penhune VB; Vuust P; 30629596
MLNP
19 The effect of practice pattern on the acquisition, consolidation, and transfer of visual-motor sequences Savion-Lemieux T; Penhune VB; 20526710
CRDH
20 The role of musical training in emergent and event-based timing. Baer LH, Thibodeau JL, Gralnick TM, Li KZ, Penhune VB 23717275
CRDH
21 Effects of age and cognitive load on response reprogramming. Korotkevich Y, Trewartha KM, Penhune VB, Li KZ 25511168
CRDH
22 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
23 Contributions of age of start, cognitive abilities and practice to musical task performance in childhood Ireland K; Iyer TA; Penhune VB; 31022272
CONCORDIA
24 Rhythm and time in the premotor cortex. Penhune VB, Zatorre RJ 31158227
PSYCHOLOGY
25 Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 30319377
PSYCHOLOGY

 

Title:Developmental contributions to motor sequence learning
Authors:Savion-Lemieux TBailey JAPenhune VB
Link:https://pubmed.ncbi.nlm.nih.gov/19363605/
DOI:10.1007/s00221-009-1786-5
Publication:Experimental brain research
Keywords:
PMID:19363605 Category:Exp Brain Res Date Added:2019-06-07
Dept Affiliation: CONCORDIA
1 Laboratory for Motor Learning and Neural Plasticity, Department of Psychology and Centre for Research in Human Development, Concordia University, QC, Canada. t_savion@live.concordia.ca

Description:

Little is known about how children acquire new motor sequences. In particular, it is not clear if the same learning progression observed in adults is also present in childhood nor whether motor skills are acquired in a similar fashion across development. In the present study we used the multi-finger sequencing task (MFST), a variant of the serial reaction time (SRT) task, to study motor sequence learning, across two consecutive days, in three cross-sectional samples of children aged 6, 8, and 10 years, and a control sample of adults. In the MFST, participants reproduced 10-element sequences of key presses on an electronic keyboard, using four fingers of the right hand. Each block of practice included 10 intermixed trials of a Repeated (REP) sequence and four trials of Random (RAN) sequences. Performance was assessed by examining changes in accuracy, a component of the task that requires the association of the visual stimulus with the motor response, and response synchronization, a component that requires fine-grained sensorimotor integration and timing. Additionally, participants completed Recognition and Recall tests, to assess explicit knowledge of the repeated sequence. Overall, results showed a developmental progression in motor sequence learning within and across days of practice. Interestingly, the two behavioral measures showed different developmental trajectories. For accuracy, differences were greatest for the two youngest groups early in learning, and these groups also showed the greatest rate of improvement. However, by the end of Day 2, only the 6-year-olds still lagged behind all other groups. For response synchronization, all child groups differed from adults early in learning, but both child and adult groups showed similar rates of improvement across blocks of practice. By the end of Day 2, 10-year-olds reached adult levels of performance, whereas 6- and 8-year-olds did not. Taken together, the dissociation observed with our two behavioral measures of sequence learning is consistent with the hypothesis that accuracy or finger-stimulus association may rely on cortical pathways that show the greatest maturation between ages 6 and 10; whereas motor timing and sensorimotor integration may rely on subcortical pathways that continue to develop into young adulthood. Despite developmental differences across blocks of practice on both behavioral measures, there were no significant group differences for either the Recognition or Recall tests. We suggest that explicit knowledge of the MFST is not directly linked to task performance, thus challenging the implicit-explicit distinction in pediatric SRT studies assessing the developmental invariance model.





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