The long-term goal is to understand neuromusculoskeletal dynamics of posture and locomotion. Despite the ability to quantify and simulate motor behaviors, one currently has little understanding of how the nervous system coordinates complex muscle activation patterns to produce motor functions during natural behaviors. Without this basic understanding, one cannot predict the impact of disordered muscle patterns on motor function in neurologically impaired individuals. This proposal explores the exciting new concept that complex muscle activation patterns can be decomposed into a few functional muscle groupings, termed muscle synergies. This simple and functional partitioning has important implications for the design of neural prostheses, therapeutic interventions to restore motor control, and for understanding the structure and function of neuronal mechanisms for movement. The objective of this proposal is to identify muscle synergies and their biomechanical functions in the cat hindlimb during postural responses in normal and neurologically impaired animals. The PIs hypothesize that a limited number of muscle synergies can produce the complex muscle activation patterns observed during postural responses, and that each muscle synergy produces a specific, task-related mechanical function. The novel approach is to integrate the analysis of detailed experimental data with computer simulations to understand how muscle synergies provide the nervous system with 'building blocks' for generating natural motor behaviors. The cat is an ideal model for these studies because (1) it allows examining muscle synergies in the same animal in a variety postural tasks, both pre- and post-neurological impairment, and (2) it allows to directly test the validity of the model with in vivo muscle stimulation experiments. The results will establish a new theoretical framework for understanding how the nervous system implements control of task-level variables at he level of muscle activations. One of the major innovations of this proposal is a novel method of synergy identification that allows for breaking complex objects into meaningful parts. Using this new framework the PIs will evaluate how muscle synergies change with specific neurological impairments and the resulting effect on motor function.
In Aim 1 they will identify muscle synergies during balance cats, in intact and neurologically impaired cats (spinal cord transection or large fiber peripheral neuropathy), and determine their relationship to ground reaction forces.
In Aim 2 the PIs will implement and use a 3-D musculoskeletal model of the cat hindlimb to define static biomechanical constraints on muscle synergy organization for ground reaction force production. This work forms a theoretical basis for the functional interpretation of complex muscle patterns that underlie natural motor behavior. It provides a critical link between muscle coordination and function that will drive the development of practical solutions to restore motor function in neurologically impaired individuals such as neural repair, neural prosthetics, and neural rehabilitation.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
5R01HD046922-05
Application #
7391781
Study Section
Special Emphasis Panel (ZHD1-RRG-K (11))
Program Officer
Quatrano, Louis A
Project Start
2004-04-01
Project End
2010-03-31
Budget Start
2008-04-01
Budget End
2010-03-31
Support Year
5
Fiscal Year
2008
Total Cost
$308,533
Indirect Cost
Name
Georgia Institute of Technology
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
097394084
City
Atlanta
State
GA
Country
United States
Zip Code
30332
Allen, Jessica L; McKay, J Lucas; Sawers, Andrew et al. (2017) Increased neuromuscular consistency in gait and balance after partnered, dance-based rehabilitation in Parkinson's disease. J Neurophysiol 118:363-373
Blum, Kyle P; Lamotte D'Incamps, Boris; Zytnicki, Daniel et al. (2017) Force encoding in muscle spindles during stretch of passive muscle. PLoS Comput Biol 13:e1005767
Sawers, Andrew; Pai, Yi-Chung Clive; Bhatt, Tanvi et al. (2017) Neuromuscular responses differ between slip-induced falls and recoveries in older adults. J Neurophysiol 117:509-522
De Groote, Friedl; Allen, Jessica L; Ting, Lena H (2017) Contribution of muscle short-range stiffness to initial changes in joint kinetics and kinematics during perturbations to standing balance: A simulation study. J Biomech 55:71-77
Sohn, M Hongchul; Ting, Lena H (2016) Suboptimal Muscle Synergy Activation Patterns Generalize their Motor Function across Postures. Front Comput Neurosci 10:7
Versteeg, Chris S; Ting, Lena H; Allen, Jessica L (2016) Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study. J Biomech 49:3230-3237
Simpson, Cole S; Sohn, M Hongchul; Allen, Jessica L et al. (2015) Feasible muscle activation ranges based on inverse dynamics analyses of human walking. J Biomech 48:2990-7
Sawers, Andrew; Allen, Jessica L; Ting, Lena H (2015) Long-term training modifies the modular structure and organization of walking balance control. J Neurophysiol 114:3359-73
Ting, Lena H; Chiel, Hillel J; Trumbower, Randy D et al. (2015) Neuromechanical principles underlying movement modularity and their implications for rehabilitation. Neuron 86:38-54
Hayes, Heather B; Chvatal, Stacie A; French, Margaret A et al. (2014) Neuromuscular constraints on muscle coordination during overground walking in persons with chronic incomplete spinal cord injury. Clin Neurophysiol 125:2024-35

Showing the most recent 10 out of 43 publications