Instrument Specific Use-dependent Plasticity Shapes the Anatomical Properties of the Corpus Callosum: a Comparison Between Musicians and Non-musicians

Overview

Journal Front Behav Neurosci

Specialty Psychology

Date 2014 Aug 1

PMID 25076879

Citations 16

Authors

Henning Vollmann

Patrick Ragert

Virginia Conde

Arno Villringer

Joseph Classen

Otto W Witte

Christopher J Steele

Affiliations

Soon will be listed here.

Abstract

Long-term musical expertise has been shown to be associated with a number of functional and structural brain changes, making it an attractive model for investigating use-dependent plasticity in humans. Physiological interhemispheric inhibition (IHI) as examined by transcranial magnetic stimulation has been shown to be correlated with anatomical properties of the corpus callosum as indexed by fractional anisotropy (FA). However, whether or not IHI or the relationship between IHI and FA in the corpus callosum can be modified by different musical training regimes remains largely unknown. We investigated this question in musicians with different requirements for bimanual finger movements (piano and string players) and non-expert controls. IHI values were generally higher in musicians, but differed significantly from non-musicians only in string players. IHI was correlated with FA in the posterior midbody of the corpus callosum across all participants. Interestingly, subsequent analyses revealed that this relationship may indeed be modulated by different musical training regimes. Crucially, while string players had greater IHI than non-musicians and showed a positive structure-function relationship, the amount of IHI in pianists was comparable to that of non-musicians and there was no significant structure-function relationship. Our findings indicate instrument specific use-dependent plasticity in both functional (IHI) and structural (FA) connectivity of motor related brain regions in musicians.

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References

Wan C, Schlaug G . Music making as a tool for promoting brain plasticity across the life span. Neuroscientist. 2010; 16(5):566-77. PMC: 2996135. DOI: 10.1177/1073858410377805. View

Hofer S, Frahm J . Topography of the human corpus callosum revisited--comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage. 2006; 32(3):989-94. DOI: 10.1016/j.neuroimage.2006.05.044. View

Rosenkranz K, Williamon A, Rothwell J . Motorcortical excitability and synaptic plasticity is enhanced in professional musicians. J Neurosci. 2007; 27(19):5200-6. PMC: 6672373. DOI: 10.1523/JNEUROSCI.0836-07.2007. View

Gaser C, Schlaug G . Gray matter differences between musicians and nonmusicians. Ann N Y Acad Sci. 2003; 999:514-7. DOI: 10.1196/annals.1284.062. View

Ridding M, Brouwer B, Nordstrom M . Reduced interhemispheric inhibition in musicians. Exp Brain Res. 2000; 133(2):249-53. DOI: 10.1007/s002210000428. View

Swinnen S . Intermanual coordination: from behavioural principles to neural-network interactions. Nat Rev Neurosci. 2002; 3(5):348-59. DOI: 10.1038/nrn807. View

Jancke L . The plastic human brain. Restor Neurol Neurosci. 2009; 27(5):521-38. DOI: 10.3233/RNN-2009-0519. View

Hyde K, Lerch J, Norton A, Forgeard M, Winner E, Evans A . The effects of musical training on structural brain development: a longitudinal study. Ann N Y Acad Sci. 2009; 1169:182-6. DOI: 10.1111/j.1749-6632.2009.04852.x. View

Meister I, Krings T, Foltys H, Boroojerdi B, Muller M, Topper R . Effects of long-term practice and task complexity in musicians and nonmusicians performing simple and complex motor tasks: implications for cortical motor organization. Hum Brain Mapp. 2005; 25(3):345-52. PMC: 6871746. DOI: 10.1002/hbm.20112. View

10.

Fling B, Seidler R . Fundamental differences in callosal structure, neurophysiologic function, and bimanual control in young and older adults. Cereb Cortex. 2011; 22(11):2643-52. PMC: 3464417. DOI: 10.1093/cercor/bhr349. View

11.

Jancke L, Shah N, Peters M . Cortical activations in primary and secondary motor areas for complex bimanual movements in professional pianists. Brain Res Cogn Brain Res. 2000; 10(1-2):177-83. DOI: 10.1016/s0926-6410(00)00028-8. View

12.

Herholz S, Zatorre R . Musical training as a framework for brain plasticity: behavior, function, and structure. Neuron. 2012; 76(3):486-502. DOI: 10.1016/j.neuron.2012.10.011. View

13.

Ferbert A, Priori A, Rothwell J, Day B, Colebatch J, Marsden C . Interhemispheric inhibition of the human motor cortex. J Physiol. 1992; 453:525-46. PMC: 1175572. DOI: 10.1113/jphysiol.1992.sp019243. View

14.

Smith S, Nichols T . Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage. 2008; 44(1):83-98. DOI: 10.1016/j.neuroimage.2008.03.061. View

15.

Shin H, Kang S, Hallett M, Sohn Y . Reduced surround inhibition in musicians. Exp Brain Res. 2012; 219(3):403-8. PMC: 4161923. DOI: 10.1007/s00221-012-3102-z. View

16.

Shim J, Kim S, Oh S, Kang N, Zatsiorsky V, Latash M . Plastic changes in interhemispheric inhibition with practice of a two-hand force production task: a transcranial magnetic stimulation study. Neurosci Lett. 2005; 374(2):104-8. PMC: 2826973. DOI: 10.1016/j.neulet.2004.10.034. View

17.

Margulis E, Mlsna L, Uppunda A, Parrish T, Wong P . Selective neurophysiologic responses to music in instrumentalists with different listening biographies. Hum Brain Mapp. 2007; 30(1):267-75. PMC: 6871237. DOI: 10.1002/hbm.20503. View

18.

Imfeld A, Oechslin M, Meyer M, Loenneker T, Jancke L . White matter plasticity in the corticospinal tract of musicians: a diffusion tensor imaging study. Neuroimage. 2009; 46(3):600-7. DOI: 10.1016/j.neuroimage.2009.02.025. View

19.

Rodriguez-Fornells A, Rojo N, Amengual J, Ripolles P, Altenmuller E, Munte T . The involvement of audio-motor coupling in the music-supported therapy applied to stroke patients. Ann N Y Acad Sci. 2012; 1252:282-93. DOI: 10.1111/j.1749-6632.2011.06425.x. View

20.

Steele C, Bailey J, Zatorre R, Penhune V . Early musical training and white-matter plasticity in the corpus callosum: evidence for a sensitive period. J Neurosci. 2013; 33(3):1282-90. PMC: 6704889. DOI: 10.1523/JNEUROSCI.3578-12.2013. View