Spindle Model Responsive to Mixed Fusimotor Inputs: an updated version of the Maltenfort and Burke (2003) model

Schmid, Laura; Klotz, Thomas; Yavuz, Utku Ş.; Maltenfort, Mitchell; Röhrle, Oliver

doi:10.36903/physiome.19070171.v2

Cited by 1 publication

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“… Maltenfort and Burke (2003) and Schmid et al. (2022) proposed another phenomenological model, which calculates the Ia afferent firing rate not only in response to muscle stretch, but also in response to fusimotor activation.…”

Section: Mathematical Modelling Of the Corticomuscular Pathwaymentioning

confidence: 99%

“…This model has been able to replicate experimentally recorded muscle spindle firing rates for a range of stretch velocities, however, it ignores the modulation of spindle sensitivity by the fusimotor system. Maltenfort and Burke (2003) and Schmid et al (2022) proposed another phenomenological model, which calculates the Ia afferent firing rate not only in response to muscle stretch, but also in response to fusimotor activation. Therefore, separate Ia firing rates in response to passive stretch, and static and dynamic fusimotor input are calculated, then the contributions in response to fusimotor drive are summed such that the higher rate partially suppresses the lower rate before being added to the passive contribution.…”

Section: Muscle Spindlesmentioning

confidence: 99%

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Linking cortex and contraction—Integrating models along the corticomuscular pathway

et al. 2023

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Computational models of the neuromusculoskeletal system provide a deterministic approach to investigate input-output relationships in the human motor system. Neuromusculoskeletal models are typically used to estimate muscle activations and forces that are consistent with observed motion under healthy and pathological conditions. However, many movement pathologies originate in the brain, including stroke, cerebral palsy, and Parkinson’s disease, while most neuromusculoskeletal models deal exclusively with the peripheral nervous system and do not incorporate models of the motor cortex, cerebellum, or spinal cord. An integrated understanding of motor control is necessary to reveal underlying neural-input and motor-output relationships. To facilitate the development of integrated corticomuscular motor pathway models, we provide an overview of the neuromusculoskeletal modelling landscape with a focus on integrating computational models of the motor cortex, spinal cord circuitry, α-motoneurons and skeletal muscle in regard to their role in generating voluntary muscle contraction. Further, we highlight the challenges and opportunities associated with an integrated corticomuscular pathway model, such as challenges in defining neuron connectivities, modelling standardisation, and opportunities in applying models to study emergent behaviour. Integrated corticomuscular pathway models have applications in brain-machine-interaction, education, and our understanding of neurological disease.

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Section: Mathematical Modelling Of the Corticomuscular Pathwaymentioning

confidence: 99%

Section: Muscle Spindlesmentioning

confidence: 99%