Keyword search (3,448 papers available)


The sensation of groove engages motor and reward networks.

Author(s): Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB

Neuroimage. 2020 Mar 23;:116768 Authors: Matthews TE, Witek MAG, Lund T, Vuust P, Penhune VB

Article GUID: 32217163

Music predictability and liking enhance pupil dilation and promote motor learning in non-musicians.

Author(s): Bianco R, Gold BP, Johnson AP, Penhune VB

Sci Rep. 2019 Nov 19;9(1):17060 Authors: Bianco R, Gold BP, Johnson AP, Penhune VB

Article GUID: 31745159

The descending motor tracts are different in dancers and musicians.

Author(s): Giacosa C, Karpati FJ, Foster NEV, Hyde KL, Penhune VB

Brain Struct Funct. 2019 Oct 16;: Authors: Giacosa C, Karpati FJ, Foster NEV, Hyde KL, Penhune VB

Article GUID: 31620887

Dance and music share gray matter structural correlates.

Author(s): Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL

Brain Res. 2017 02 15;1657:62-73 Authors: Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL

Article GUID: 27923638

Efficacy of Auditory versus Motor Learning for Skilled and Novice Performers.

Author(s): Brown RM, Penhune VB

J Cogn Neurosci. 2018 11;30(11):1657-1682 Authors: Brown RM, Penhune VB

Article GUID: 30156505

The role of musical training in emergent and event-based timing.

Author(s): Baer LH, Thibodeau JL, Gralnick TM, Li KZ, Penhune VB

Front Hum Neurosci. 2013;7:191 Authors: Baer LH, Thibodeau JL, Gralnick TM, Li KZ, Penhune VB

Article GUID: 23717275

Effects of age and cognitive load on response reprogramming.

Author(s): Korotkevich Y, Trewartha KM, Penhune VB, Li KZ

Exp Brain Res. 2015 Mar;233(3):937-46 Authors: Korotkevich Y, Trewartha KM, Penhune VB, Li KZ

Article GUID: 25511168

Regional cerebellar volumes are related to early musical training and finger tapping performance.

Author(s): Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB

Neuroimage. 2015 Apr 01;109:130-9 Authors: Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZ, Penhune VB

Article GUID: 25583606

Rhythm and time in the premotor cortex.

Author(s): Penhune VB, Zatorre RJ

PLoS Biol. 2019 Jun 03;17(6):e3000293 Authors: Penhune VB, Zatorre RJ

Article GUID: 31158227

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls.

Author(s): Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL

Front Hum Neurosci. 2018;12:373 Authors: Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL

Article GUID: 30319377


Title:The role of musical training in emergent and event-based timing.
Authors:Baer LHThibodeau JLGralnick TMLi KZPenhune VB
Link:https://www.ncbi.nlm.nih.gov/pubmed/23717275?dopt=Abstract
Category:Front Hum Neurosci
PMID:23717275
Dept Affiliation: CRDH
1 Department of Psychology, Centre for Research in Human Development, Concordia University Montréal, QC, Canada.

Description:

The role of musical training in emergent and event-based timing.

Front Hum Neurosci. 2013;7:191

Authors: Baer LH, Thibodeau JL, Gralnick TM, Li KZ, Penhune VB

Abstract

INTRODUCTION: Musical performance is thought to rely predominantly on event-based timing involving a clock-like neural process and an explicit internal representation of the time interval. Some aspects of musical performance may rely on emergent timing, which is established through the optimization of movement kinematics, and can be maintained without reference to any explicit representation of the time interval. We predicted that musical training would have its largest effect on event-based timing, supporting the dissociability of these timing processes and the dominance of event-based timing in musical performance.

MATERIALS AND METHODS: We compared 22 musicians and 17 non-musicians on the prototypical event-based timing task of finger tapping and on the typically emergently timed task of circle drawing. For each task, participants first responded in synchrony with a metronome (Paced) and then responded at the same rate without the metronome (Unpaced).

RESULTS: Analyses of the Unpaced phase revealed that non-musicians were more variable in their inter-response intervals for finger tapping compared to circle drawing. Musicians did not differ between the two tasks. Between groups, non-musicians were more variable than musicians for tapping but not for drawing. We were able to show that the differences were due to less timer variability in musicians on the tapping task. Correlational analyses of movement jerk and inter-response interval variability revealed a negative association for tapping and a positive association for drawing in non-musicians only.

DISCUSSION: These results suggest that musical training affects temporal variability in tapping but not drawing. Additionally, musicians and non-musicians may be employing different movement strategies to maintain accurate timing in the two tasks. These findings add to our understanding of how musical training affects timing and support the dissociability of event-based and emergent timing modes.

PMID: 23717275 [PubMed]