Flexibility of movement organization in piano performance

Furuya, Shinichi; Altenmüller, Eckart

doi:10.3389/fnhum.2013.00173

Cited by 90 publications

(64 citation statements)

References 108 publications

(128 reference statements)

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“…Because motor history shapes individual movement styles, motor modules may differ and become different due to motor experience and training. Indeed, different movement patterns for grasping may be identified in musicians, shaped by their specific training (Gentner et al, 2010) and different musicians display different movement styles (Furuya and Altenmuller, 2013). This perspective on how we learn to move is consistent with activity-dependent plasticity after neural injury that is altered by the specificity, intensity, difficulty and complexity of motor training (Adkins et al, 2006; Fisher and Sullivan, 2001; Will et al, 2004).…”

Section: Neuromechanical Principles Underlying Motor Module Organizationmentioning

confidence: 99%

Neuromechanical Principles Underlying Movement Modularity and Their Implications for Rehabilitation

Ting

Chiel

Trumbower

et al. 2015

Neuron

356

317

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Summary Neuromechanical principles define the properties and problems that shape neural solutions for movement. Although the theoretical and experimental evidence is debated, we present arguments for consistent structures in motor patterns, i.e. motor modules, that are neuromechanical solutions for movement particular to an individual and shaped by evolutionary, developmental, and learning processes. As a consequence, motor modules may be useful in assessing sensorimotor deficits specific to an individual, and define targets for the rational development of novel rehabilitation therapies that enhance neural plasticity and sculpt motor recovery. We propose that motor module organization is disrupted and may be improved by therapy in spinal cord injury, stroke, and Parkinson’s disease. Recent studies provide insights into the yet unknown underlying neural mechanisms of motor modules, motor impairment and motor learning, and may lead to better understanding of the causal nature of modularity and its underlying neural substrates.

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Section: Neuromechanical Principles Underlying Motor Module Organizationmentioning

confidence: 99%

Neuromechanical Principles Underlying Movement Modularity and Their Implications for Rehabilitation

Ting

Chiel

Trumbower

et al. 2015

Neuron

356

317

View full text Add to dashboard Cite

show abstract

“…Practiced motor acts can vary from performance to performance, and from performer to performer (Furuya and Altenmüller 2013). Glenn Gould's 1955 and1981 recordings of Bach's Goldberg Variations differ radically, but they are more similar to each other than Murray Perahia's recording.…”

mentioning

confidence: 99%

Motor neuronal activity varies least among individuals when it matters most for behavior

Cullins

Shaw

Gill

et al. 2015

Journal of Neurophysiology

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How does motor neuronal variability affect behavior? To explore this question, we quantified activity of multiple individual identified motor neurons mediating biting and swallowing in intact, behaving Aplysia californica by recording from the protractor muscle and the three nerves containing the majority of motor neurons controlling the feeding musculature. We measured multiple motor components: duration of the activity of identified motor neurons as well as their relative timing. At the same time, we measured behavioral efficacy: amplitude of grasping movement during biting and amplitude of net inward food movement during swallowing. We observed that the total duration of the behaviors varied: Within animals, biting duration shortened from the first to the second and third bites; between animals, biting and swallowing durations varied. To study other sources of variation, motor components were divided by behavior duration (i.e., normalized). Even after normalization, distributions of motor component durations could distinguish animals as unique individuals. However, the degree to which a motor component varied among individuals depended on the role of that motor component in a behavior. Motor neuronal activity that was essential for the expression of biting or swallowing was similar among animals, whereas motor neuronal activity that was not essential for that behavior varied more from individual to individual. These results suggest that motor neuronal activity that matters most for the expression of a particular behavior may vary least from individual to individual. Shaping individual variability to ensure behavioral efficacy may be a general principle for the operation of motor systems.

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“…The authors asserted this as evidence of independent control of finger movements (Furuya and Altenmüller, 2013) commenting on the previous work of Engel et al (1997). This idea was further developed using a 7-channel EMG analysis of finger flexors/extensors and thumb flexor and abductor muscles.…”

Section: Part 3: Current Biomechanical Methods Of Measuring Complex Hmentioning

confidence: 97%

Complex hand dexterity: a review of biomechanical methods for measuring musical performance

et al. 2014

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Complex hand dexterity is fundamental to our interactions with the physical, social, and cultural environment. Dexterity can be an expression of creativity and precision in a range of activities, including musical performance. Little is understood about complex hand dexterity or how virtuoso expertise is acquired, due to the versatility of movement combinations available to complete any given task. This has historically limited progress of the field because of difficulties in measuring movements of the hand. Recent developments in methods of motion capture and analysis mean it is now possible to explore the intricate movements of the hand and fingers. These methods allow us insights into the neurophysiological mechanisms underpinning complex hand dexterity and motor learning. They also allow investigation into the key factors that contribute to injury, recovery and functional compensation. The application of such analytical techniques within musical performance provides a multidisciplinary framework for purposeful investigation into the process of learning and skill acquisition in instrumental performance. These highly skilled manual and cognitive tasks present the ultimate achievement in complex hand dexterity. This paper will review methods of assessing instrumental performance in music, focusing specifically on biomechanical measurement and the associated technical challenges faced when measuring highly dexterous activities.

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Flexibility of movement organization in piano performance

Cited by 90 publications

References 108 publications

Neuromechanical Principles Underlying Movement Modularity and Their Implications for Rehabilitation

Neuromechanical Principles Underlying Movement Modularity and Their Implications for Rehabilitation

Motor neuronal activity varies least among individuals when it matters most for behavior

Complex hand dexterity: a review of biomechanical methods for measuring musical performance

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