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Balancing out dwelling and moving: optimal sensorimotor synchronization.

Ignasi Cos1, Benoît Girard2, Emmanuel Guigon2

  • 1Sorbonne Universités, UPMC Université Paris 06, UMR 7222, ISIR, Paris, France; and CNRS, UMR 7222, ISIR, Paris, France ignasi.cos@icm-institute.org.

Journal of Neurophysiology
|April 17, 2015
PubMed
Summary
This summary is machine-generated.

Nervous system control of rhythmic movements, involving movement and dwell phases, is optimized for temporal prediction. This optimization ensures predictable timing, regardless of musical skill or tapping strategy.

Keywords:
motor controloptimalitypsychophysicsrhythmic movementssynchronization

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Sensorimotor synchronization is crucial for artistic activities like music and dance.
  • The neural mechanisms underlying synchronized rhythmic movements remain largely unexplained.
  • Rhythmic movements characteristically include distinct movement and motionless (dwell) phases, with dwell time scaling with rhythm period.

Purpose of the Study:

  • To investigate the underlying principles governing the organization of movement and dwell phases in rhythmic tapping.
  • To determine if movement and dwell phase durations are subject to an optimization process.
  • To explore the influence of musical skill and tapping strategy on rhythmic movement organization.

Main Methods:

  • Twelve participants (4 drummers, 8 non-drummers) performed self-paced tapping at various metronome frequencies (0.5-2.5 Hz).
  • Analysis of movement time (MT) and dwell time (DT) strategies employed by participants.
  • Development and application of an optimal statistical model to predict phase durations based on temporal variability.

Main Results:

  • Participants adopted one of two strategies: constant MT/DT ratio or increased DT with period.
  • Temporal variability of both phases adhered to Weber's Law, with longer phases showing less variability.
  • The developed statistical model accurately predicted observed MT and DT durations across strategies and skill levels.

Conclusions:

  • The distribution of movement and dwell times in rhythmic tapping appears to be driven by an optimization process.
  • This optimization is linked to an individual's skill in predicting time during both rest and movement phases.
  • Findings suggest a fundamental neural strategy for managing rhythmic motor tasks.