PUBLICATIONS

Albury AW, Bianco R, Gold BP and Penhune VB (2023). Context changes judgments of liking and predictability for melodies. Frontiers in Psychology.

Shenker J, Steele CJ, Zatorre RJ and Penhune VB (2023). Using cortico-cerebellar structural patterns to classify early-and late-trained musicians. Human Brain Mapping.

Shenker J, Steele CJ, Chakravarty MM, Zatorre RJ and Penhune VB (2021). Early musical training shapes cortico-cerebellar structural covariation. Brain Structure and Function.

Segado M, Zatorre RJ and Penhune VB (2021). Effector-independent brain network for auditory-motor integration: fMRI evidence from singing and cello playing. NeuroImage.

Vaquero L, Ramos-Escobar N, François C, Putkinen V, Segura E, Huotilainen M, Penhune VB and Rodríguez-Fornells A (2021). Arcuate Fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes. NeuroImage, 229.

Matthews TE, Witek MAG, Lund T, Vusst P, and Penhune VB (2020). The sensation of groove engages motor and reward networks. NeuroImage, 214.

Penhune VB (2020). A gene-maturation-environment model for understanding sensitive period effects in musical training. Current Opinion in Behavioural Neurosciences, 36:13-22.

Vaquero L, Rousseau P-N, Voznian D, Klein DK and Penhune VB (2020). What you learn and when you learn it: The impact of early bilingual and music experience on the structural characteristics of auditory-motor pathways. NeuroImage, Feb 29; 213:116689.

Zatorre, RJ and Penhune, VB (2020). Music: Prediction, Production, Perception, Plasticity and Pleasure in The Cognitive Neurosciences VI from MIT Press, Edited by David Poeppel, George R. Mangun and Michael S. Gazzaniga, Chapter 96: pp. 1093-1102.

Matthews TE, Witek MAG, Heggli OA, Penhune VB, Vuust P (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLoS One 14(1): e0204539.

Bianco R, Gold BP, Johnson AP and Penhune VB (2019). Predictability and liking of music interact during listening and facilitate motor learning: Evidence from pupil and motor responses in non-musicians. Scientific Reports

Giacosa C, Karpati F, Foster NEV, Hyde KL and Penhune VB (2019). The descending motor tracts are different in dancers and musicians.  Brain Structure and Function

Penhune VB and Zatorre RJ (2019). Rhythm and time in the premotor cortex. PLoS Biology, June 3;17(6):e3000293.

Ireland K, Parker A, Iyer T and Penhune, VB (2019). Contributions of age of start, cognitive abilities and practice to musical task performance in childhood. PLoS One. 14(4):e0216119.

Penhune VB (2019).  Music training and brain structure: The causes and consequences of training.  The Oxford Handbook of Music and the Brain.  Michael Thaut and Donald Hodges, editors. 

Matthews TE, Witek MAG, Heggli OA, Penhune VB and Vuust P (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLoS One.  

Karpati F, Giacosa C, Foster NEV, Penhune VB and Hyde KL (2018). Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls.  Frontiers in Human Neuroscience.

Vaquero L, Ramos-Escobar N, François C, Penhune VB and Rodriguez-Fornells A (2018).  White-matter structural connectivity predicts short-term melody and rhythm learning in non-musicians.  NeuroImage, 181:252-262. 

Brown RM and Penhune VB (2018).  Efficacy of auditory versus motor learning for skilled and novice performers.  Journal of Cognitive Neuroscience, Aug 29:1-26. 

Ireland K, Parker A, Foster NEV and Penhune, VB (2018).  Rhythm and melody tasks for school-aged children with and without musical training: Age-equivalent scores and reliability.  Frontiers in Auditory Cognitive Neuroscience.

Wollman I, Penhune VB, Segado M, Carpentier T, Zatorre RJ (2018). Neural network retuning and neural predictors of learning success associated with cello training.  PNAS. 

Segado M, Hollinger A, Thibodeau J, Penhune, VB and Zatorre RJ (2018). Partially overlapping brain networks for singing and cello playing.  Frontiers in Auditory Cognitive Neuroscience. 

Stephan MA, Lega C and Penhune VB (2018). Auditory prediction cues motor preparation in the absence of movement.  NeuroImage, 174: 288-296.

Ireland K, Parker A, Foster N, Penhune VB (2018). Rhythm and Melody Tasks for School-aged Children With and Without Musical Training: Age-Equivalent Scores and Reliability. Frontiers in Auditory Cognitive Neuroscience.

Karpati FJ, Giacosa C, Foster NEV, Penhune VB and Hyde KH (2017).  Dance and music share grey-matter structural correlates. Brain Research. 1657:62-73

Stephan MA, Brown RM, Lega C and Penhune VB (2016). Melodic Priming of Motor Sequence Performance: The Role of the Dorsal Premotor Cortex.  Frontiers in Auditory Cognitive Neuroscience. 10:210. 

Lega C, Stephan MA, Zatorre RJ and Penhune VB (2016).  Testing the role of dorsal premotor cortex in learning auditory-motor associations using TMS.  PLoS One.

Giacosa C, Karpati F, Penhune VB and Hyde KH (2016).  Dance and music training have different effects on white matter diffusivity in sensorimotor pathways. NeuroImage. 135:273-86. 

Karpati FJ, Giacosa C, Foster NEV, Penhune VB and Hyde KH (2016). Sensorimotor integration is enhanced in dancers and musicians.  Experimental Brain Research 234(3):893-903. 

Matthews TE, Thibodeau JNL, Gunther B and Penhune VB (2015).  Impact of instrument-specific music training on rhythm perception and production.  Frontiers in Psychology. 7:69. 

Korotkevich Y, Trewartha K, Penhune VB and Li KZH (2015).  Effects of age and cognitive load on response reprogramming.  Experimental Brain Research. 233(3):937-46. 

Karpati FJ, Giacosa C, Foster NEV, Penhune VB and Hyde KH (2015).  Dance and the brain:  A review.  Annals of the New York Academy of Sciences, 1337: 140-146 

Baer LH, Park MT, Bailey JA, Chakravarty MM, Li KZH and Penhune VB (2015).  Regional cerebellar volumes are related to early musical training and finger tapping performance.  NeuroImage, 105:130-139.  

Villeneuve M, Penhune VB and Lamontagne A (2014).   A piano training program to improve manual dexterity and upper extremity function in chronic stroke survivors.  Frontiers in Human Neuroscience, 22 August 2014 | 

Padrão G, de Diego-Balaguer R, Marco-Pallares J, Penhune VB and Rodriguez-Fornells A (2014). Evidence of adaptive changes in error processing and attentional control during rhythm synchronization learning. Neuroimage. PMID: 24956067

Bailey JA, Zatorre RJ and Penhune VB (2014).  Early musical training:  Effects on auditory motor integration and grey matter structure in ventral premotor cortex. Journal of Cognitive Neuroscience, 26(4): 755-67.  PMID: 24236696

Bailey JA and Penhune VB (2013). The relationship between the age of onset of musical training and rhythm synchronization performance: Validation of sensitive period effects.  Frontiers in Auditory Cognitive Neuroscience. PMID: 24348323

Trewartha K, Spilka, M, Penhune VB, Li KZH and Phillips N (2013). Context updating processes facilitate response reprogramming in younger but not older adults. Psychology and Aging, 28 (3): 701-713.  PMID: 24041003

Baer LH, Thibodeau JLN, Gralnick TL, Li KZH and Penhune VB (2013).  The role of musical training in emergent and event-based timing.  Frontiers in Human Neuroscience. PMID:  23717275.

Kung SJ, Chen JL, Zatorre RJ, and Penhune VB (2013 - in process). Interacting Cortical and Basal Ganglia Networks Underlying Finding and Tapping to the Musical Beat. The Journal of Cognitive Neuroscience, 25(3), 401-420. DOI: 10.1162/jocn_a_00325. 
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Steele CJ, Bailey JA, Zatorre RJ, and Penhune VB (2013). Early Musical Training and White-Matter Plasticity in the Corpus Callosum: Evidence for a Sensitive Period. The Journal of Neuroscience, 33(3), 1282–1290. DOI: 10.1523/​JNEUROSCI.3578-12.2013
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Brown RM, Chen JL, Hollinger A, Penhune VB, Palmer C, and Zatorre R (2013). Repetition Suppression in Auditory–Motor Regions to Pitch and Temporal Structure in Music. Journal of Cognitive Neuroscience, 25(2), 313–328. DOI: 10.1162/jocn_a_00322
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Steele CJ, Scholz J, Douaud G, Johansen-Berg H, and Penhune VB (2012). Structural correlates of skilled performance on a motor sequence task. Frontiers in Human Neuroscience, 6. DOI: 10.3389/fnhum.2012.00289
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Bailey J and Penhune VB (2012). A sensitive period for musical training: contributions of age of onset and cognitive abilities. Annals of the New York Academy of Sciences, 1252(1), 163-170. DOI:10.1111/j.1749-6632.2011.06434.x
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Steele CJ and Penhune VB (2012). Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning. Behavioural Brain Research, 226(2), 579-591. DOI:10.1111/j.1749-6632.2011.06434.x
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Penhune VB, (2011). Sensitive periods in human development: Evidence from musical training. Cortex, 47(9),DOI:10.1016/j.cortex.2011.05.010
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Trewartha KM, Penhune VB, and Li KZH (2010). Movement kinematics of prepotent response suppression in aging during conflict adaptation. Experimental Brain Research, 204(4), Journal of Gerontology: Psychological Sciences, 2010 Dec 23. [Epub ahead of print], DOI: 10.1093/geronb/gbq090
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Spilka MJ, Steele CJ, and Penhune VB (2010). Gesture imitation in musicians and non-musicians. Experimental Brain Research, 204(4) , 549-558. DOI: 10.1007/s00221-010-2322-3
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Savion-Lemieux T and Penhune VB (2010). The effect of practice pattern on the acquisition and consolidation of motor sequences. Experimental Brain Research, 204(2), 271-81. DOI: 10.1007/s00221-010-2311-6
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Bailey JA and Penhune VB (2010). Rhythm synchronization performance and auditory working memory in early- and late-trained musicians. Experimental Brain Research, 204(1), 91-101. DOI: 10.1007/s00221-010-2299-y
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Steele, C. J., & Penhune, V. B. (2010). Specific Increases within Global Decreases: A Functional Magnetic Resonance Imaging Investigation of Five Days of Motor Sequence Learning. The Journal of Neuroscience, 30(24), 8332-8341. doi:10.1523/JNEUROSCI.5569-09.2010
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Fraser SA, Li KZH and Penhune VB (2010). Dual-tasks performance reveals increased involvement of executive control in fine motor sequencing in healthy aging. Journals of Gerontology: Psychological Sciences.PMID: 20478900
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Chen JL, Penhune VB and Zatorre RJ (2009). The role of auditory and premotor cortex in sensorimotor transformations. Proceedings of the New York Academy of Sciences, 1169, 15-34.
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Fraser SA, Li, KZH and Penhune VB (2009). A comparison of motor skill learning and retention in younger and older adults. Experimental Brain Research, 195(3), 419-27.
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Savion-Lemieux T, Bailey JA and Penhune VB (2009). Developmental contributions to motor sequence learning.Experimental Brain Research, 195(2), 293-306.
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Trewartha KM, Endo A, Li KZH and Penhune V (2009). Examining pre-potent response suppression in aging: A kinematic analysis. Psychology and Aging, 24(2), 450-61.
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Doyon J, Bellec P, Amsel R, Penhune VB, Monchi O, Benali H (2009). Contributions of the Basal Ganglia and functionally related brain structures to motor learning. Behavioral and Brain Research, 199(1), 61-75.
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Warrier CM, Wong PCM, Penhune VB, Zatorre RJ and Kraus N (2009). Relating structure to function: Heschl's Gyrus and auditory temporal processing. Journal of Neuroscience, 29(1), 61-69.
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Wong PCM, Warrier CM, Penhune VB, Roy AK, Sadehh A, Parrish TB, and Zatorre RJ (2008). Volume of left Heschl’s Gyrus and linguistic pitch learning. Cerebral Cortex, 18(4):, 828-36.
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Chen JL, Penhune VB and Zatorre RJ (2008). Listening to musical rhythms recruits motor regions of the brain.Cerebral Cortex, 18(12), 2844-54.
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Chen JL, Penhune VB and Zatorre RJ (2008). Moving on time: brain network for auditory-motor synchronization is modulated by rhythm complexity and musical training. Journal of Cognitive Neuroscience, 20(2),226-239. Journal of Cognitive Neuroscience.
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Hollinger A, Steele CJ, Penhune VB, Zatorre RJ, and Wanderley M (2007). fMRI-compatible electronic controllers. In Proceedings of the 2007 International Conference on New Interfaces for Musical Expression (NIME07), New York City, USA, pp. 246-249.
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Zatorre RJ, Chen JL and Penhune VB (2007). When the brain plays music: Sensory-motor interactionsin music perception and production. Nature Reviews Neuroscience, 8, 547-558.
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Watanabe, D., Savion-Lemieux, T., and Penhune, V.B. (2007). The effects of early musical training on adult motor performance:Evidence for a sensitive period in motor learning. Experimental Brain Research, 176: 332-340.
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Sarah A. Fraser, Karen Z. H. Li, Richard G. DeMont, Virginia B. Penhune (2007). Effects of balance status and age on muscle activation while walking under divided attention. Journal of Gerontology: Psychological Sciences, 62B(3): P171-P178.
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Chen, J.L., Zatorre, R.J., and Penhune, V.B. (2006). Interactions between auditory and dorsal premotor cortex during synchronization to musical rhythms. Neurimage, 32, 1771-1781.
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Dorsaint-Pierre, R., Penhune, V.B., Watkins, K.E., Neelin, P., Lerch, J.P., Bouffard, M., and Zatorre, R.J. (2006). Asymmetries of the planum temporale and Heschl's gyrus: Relationship to language lateralization. Brain, 129(Pt 5), 1164-1176.
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Penhune, V.B., and Doyon, J. (2005). Cerebellum and M1 interaction during early learning od timed motor sequences. Neuroimage, 26, 801-812.
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Savion-Lemieux, T., and Penhune, V.B. (2005). The effects of practice and delay on motor skill learning and retention. Experimental Brain Research, 161, 423-431.
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Penhune, V.B., Cismaru, R., Dorsaint-Pierre, R., Petito, L.A., and Zatorre, R.J. (2003). The morphometry of auditory cortex in the congenitally deaf measured using MRI. Neuroimage, 20, 1215-1225.
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Doyon, J., Penhune, V.B., and Ungerleider, L.G. (2003). Distinct contributions of the cortico-striatal and cortico-cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252-262.
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Penhune, V.B., and Doyon, J. (2002). Dynamical cortical and subcortical networks in learning and delayed recall of timed motor sequences. Journal of Neuroscience, 22(4), 1397-1406.
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Zatorre, R.J., Belin, P., and Penhune, V.B. (2002). Structure and function of the human auditory cortex: Music and speech. Trends in Cognitive Sciences, 6(2), 37-46.
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Peretz, I., Ayotte, J., Zatorre, R.J., Mehler, J., Ahad, P., Penhune, V.B., and Jutras, B. (2002). Congenital amusia: A disorder of fine-grained pitch discrimination. Neuron, 33(2), 185-191.
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Zatorre, R.J., and Penhune, V.B. (2001). Spatial localization after excision of human auditory cortex. Journal of Neuroscience, 21(16), 6321-6328.
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Peretz, I., Blood, A., Penhune, V.B., and Zatorre, R.J. (2001). Cortical deafness to dissonance. Brain, 124(Pt 5), 928-940.
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Johnsrude, I.S., Zatorre, R.J., and Penhune, V.B. (2000). Functional specificity in right human auditory cortex for perceiving pitch direction. Brain, 123,155-163.
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Penhune, V.B., Zatorre, R.J., and Feindel, W.H. (1999). The role of auditory cortex in retention of rhythmic patterns as studied in patients with temporal lobe removals including Heschl's gyrus. Neuropsychologia, 37(3), 315-331.
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Penhune, V.B., Zatorre, R.J., and Evans, A.E. (1998). Cerebellar contributions to motor timing: A PET study of auditory and visual rhythm reproduction. Journal of Cognitive Neuroscience, 10(6), 752-765.
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Penhune, V.B., Zatorre, R.J., MacDonald, D., and Evans, A.E. (1996). Interhemispheric anatomical differences in human primary auditory cortex:Probabilistuc mapping and volume measurement from MR scans. Cerebral Cortex, 6(5), 661-672.
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Sumanapala DK, Steele CJ, and Penhune VB (2012). Multiple components of Motor Sequence Learning. CRDH Poster Session, Montreal, Quebec
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Baer LH, Hamel-Doyon M-O, Gralnick T, Li K and Penhune VB (2011). The role of musical experience in circle drawing and finger tapping. Meeting of the Society for the Neural Control of Movement, Cleveland, OH
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Steele CJ, Bailey JA, Pike B, Zatorre R and Penhune VB (2011). Structural Correlates of Sensorimotor Integration: Evidence from Musicians. Organization for Human Brain Mapping meeting, Quebec, Canada.
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Bailey JA, Steele CJ, Hyde KL, Zatorre RJ and Penhune VB (2011). A multimodal approach: Grey matter differences in early and late-trained musicians. Organization for Human Brain Mapping meeting, Quebec, Canada.
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Bailey JA, Spilka M, Best E and Penhune VB (2011). Auditory synchronization and cognitive abilities in early- and late-trained musicians. Neurosciences and Music IV, Edinburgh, Scotland.
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