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Updated: Jan 1, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics
Loïc Damm1, Déborah Varoqui2, Valérie Cochen De Cock3
1EuroMov, University of Montpellier, Montpellier, France.
This study proposes a unified dynamical systems framework to understand how the brain and body synchronize with auditory rhythms. This approach integrates neural and physical entrainment for insights into auditory-motor synchronization and applications in rehabilitation.
Area of Science:
- Neuroscience
- Biomechanics
- Dynamical Systems Theory
Background:
- Auditory-motor synchronization relies on neural networks (cortical areas, basal ganglia, cerebellum) for rhythm perception and movement.
- Neuronal activity entrainment by external rhythms is crucial for action-perception coupling.
- Wearable robotics reveal mechanical entrainment in the locomotor system.
Purpose of the Study:
- To propose a unified theoretical framework for externally driven rhythmic entrainment in biological systems.
- To integrate neural and physical levels of oscillatory activity modeling.
- To explore the mechanisms of multi-level entrainment during locomotion.
Main Methods:
- Reviewing core questions on biological oscillators' dynamic properties.
- Examining the neural bases of auditory-motor synchronization.
- Utilizing a dynamical systems approach to model brain and locomotor activities.
Main Results:
- A unified framework is proposed for understanding neural and mechanical entrainment.
- The framework integrates oscillatory activities at both neural and physical levels.
- Personalized auditory stimulation is illustrated as an application.
Conclusions:
- Modeling brain and locomotor activities as dynamical systems offers a unified view of rhythmic entrainment.
- This framework aids in understanding auditory-motor synchronization.
- Applications include gait rehabilitation for Parkinson disease and runner kinematics manipulation.
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