Nonlinear Frequency-Domain Analysis of the Transformation of Cortical Inputs by a Motoneuron Pool-Muscle Complex
| Autor: | André Fabio Kohn, Renato Naville Watanabe |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Frequency response Computer science Models Neurological Biomedical Engineering Electromyography 03 medical and health sciences 0302 clinical medicine Gamma Rhythm Internal Medicine medicine Coherence (signal processing) Humans Beta Rhythm Computer Simulation Muscle Skeletal Cerebral Cortex Motor Neurons Computational model medicine.diagnostic_test General Neuroscience Rehabilitation ROBÓTICA Neural engineering 030104 developmental biology Nonlinear Dynamics Spinal Cord Frequency domain Synapses Neuroscience 030217 neurology & neurosurgery Algorithms |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | Corticomotor coherence in the beta and/or gamma bands has been described in different motor tasks, but the role of descending brain oscillations on force control has been elusive. Large-scale computational models of a motoneuron pool and the muscle it innervates have been used as tools to advance the knowledge of how neural elements may influence force control. Here, we present a frequency domain analysis of a NARX model fitted to a large-scale neuromuscular model by the means of generalized frequency response functions (GFRF). The results of such procedures indicated that the computational neuromuscular model was capable of transforming an oscillatory synaptic input (e.g., at 20 Hz) into a constant mean muscle force output. The nonlinearity uncovered by the GFRFs of the NARX model was responsible for the demodulation of an oscillatory input (e.g., a beta band oscillation coming from the brain and forming the input to the motoneuron pool). This suggests a manner by which brain rhythms descending as command signals to the spinal cord and acting on a motoneuron pool can regulate a maintained muscle force. In addition to the scientific aspects of these results, they provide new interpretations that may further neural engineering applications associated with quantitative neurological diagnoses and robotic systems for artificial limbs. |
| Databáze: | OpenAIRE |
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