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Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics
- Source :
- eLife, Vol 9 (2020), eLife
- Publication Year :
- 2020
- Publisher :
- eLife Sciences Publications, Ltd, 2020.
-
Abstract
- Despite decades of research, we lack a mechanistic framework capable of predicting how movement-related signals are transformed into the diversity of muscle spindle afferent firing patterns observed experimentally, particularly in naturalistic behaviors. Here, a biophysical model demonstrates that well-known firing characteristics of muscle spindle Ia afferents – including dependence on movement history, and nonlinear scaling with muscle stretch velocity – emerge from first principles of muscle contractile mechanics. Further, mechanical interactions of the muscle spindle with muscle-tendon dynamics reveal how motor commands to the muscle (alpha drive) versus muscle spindle (gamma drive) can cause highly variable and complex activity during active muscle contraction and muscle stretch that defy simple explanation. Depending on the neuromechanical conditions, the muscle spindle model output appears to “encode” aspects of muscle force, yank, length, stiffness, velocity, and/or acceleration, providing an extendable, multiscale, biophysical framework for understanding and predicting proprioceptive sensory signals in health and disease.
- Subjects :
- 0301 basic medicine
biophysical model
QH301-705.5
Mammalian muscle
Movement
proprioception
Science
Muscle spindle
Sensory system
sensory coding
Models, Biological
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
Afferent
medicine
Animals
Computer Simulation
Rats, Wistar
Biology (General)
Muscle Spindles
Muscle force
Physics
General Immunology and Microbiology
Proprioception
General Neuroscience
Dynamics (mechanics)
Muscle mechanics
General Medicine
Rats
030104 developmental biology
medicine.anatomical_structure
Active muscle
Rat
Medicine
Female
Neuroscience
030217 neurology & neurosurgery
Research Article
Computational and Systems Biology
Muscle Contraction
Subjects
Details
- ISSN :
- 2050084X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- eLife
- Accession number :
- edsair.doi.dedup.....6457ebd0f0ce35b04657f224197abc09