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Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication

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Extrinsic and intrinsic dynamics in movement intermittency.

Damar Susilaradeya¹, Wei Xu¹, Thomas M Hall¹

¹Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.

|April 9, 2019

Summary

Continuous tracking movements arise from the interaction between internal motor rhythms and external feedback. This motor neuroscience study reveals how motor errors and feedback corrections create discrete submovements.

Keywords:

Rhesus macaque human motor cortex movement intermittency neuroscience optimal feedback control submovements

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Area of Science:

Motor Neuroscience
Systems Neuroscience
Computational Neuroscience

Background:

Motor control research typically examines intrinsic motor circuit properties or extrinsic sensorimotor feedback independently.
Understanding how these two aspects interact is crucial for explaining complex movement behaviors.

Purpose of the Study:

To investigate the interplay between intrinsic motor dynamics and extrinsic feedback in continuous tracking movements.
To explain the observed intermittency in human tracking movements.

Main Methods:

Utilized spatiotemporal perturbations in human participants during continuous tracking tasks.
Recorded local field potentials in the motor cortex of monkeys during similar tasks.
Analyzed data within the framework of optimal feedback control theory.

Main Results:

Human tracking movements exhibit intermittency explained by the constructive interference of motor errors and feedback corrections.
These corrections are filtered by the motor system's intrinsic circuitry, creating submovements at 2-3 Hz.
Monkey motor cortex activity showed signatures of a Kalman filter, generating low-frequency oscillations during movement and delta oscillations during sleep.

Conclusions:

The interplay of intrinsic and extrinsic dynamics is essential for explaining continuous tracking movement intermittency.
Motor cortical networks' intrinsic rhythmicity may represent an internal model for state estimation in feedback-guided movement.
Findings support optimal feedback control principles in motor neuroscience.