DocumentCode :
140303
Title :
Modular Control of Movement and Posture by the Corticospinal Alpha-Gamma Motor Systems
Author :
Si Li ; Xin He ; Ning Lan
Author_Institution :
Inst. of Rehabilitation Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4079
Lastpage :
4082
Abstract :
It is widely assumed that neural control of movement is carried out by the a motor system sufficiently. The role of the γ motor system in movement and posture has not been adequately addressed in motor control studies. Here, we propose a modular control model for movement and posture based on propriospinal neuronal (PN) network and spinal α-γ motor system. In the modular control model, the a and γ motor commands are divided into static and dynamic functions. The static commands are specified by the higher center of brain for posture control, and the dynamic commands for movement generation, respectively. Centrally planned kinematics based on the minimal jerk criterion is conveyed to the periphery via the γ motor system, while centrally programmed bi-phasic burst pattern of muscle activation is relayed to a pair of antagonistic muscles through the a motor system via the PN. Results of simulation showed that elbow kinematics and biceps and triceps activations displayed the similar kinematic and EMG features of fast reaching movement in human. This suggests a hypothesis that the α-γ motor systems can achieve modular control of movement and posture in parallel.
Keywords :
biocontrol; biomechanics; brain; electromyography; kinematics; neural nets; neurophysiology; α motor commands; γ motor commands; EMG features; PN; antagonistic muscles; biceps activations; brain; centrally planned kinematics; centrally programmed biphasic burst pattern; corticospinal alpha-gamma motor systems; dynamic commands; dynamic functions; elbow kinematics; fast reaching movement; minimal jerk criterion; modular control model; motor control; movement generation; muscle activation; neural control; posture control; propriospinal neuronal network; spinal α-γ motor system; static functions; triceps activations; Brain modeling; Elbow; Electromyography; Joints; Mathematical model; Muscles; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944520
Filename :
6944520
Link To Document :
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