Influence of Vibration on Motor Responses in the Upper Arm Muscles under Stationary Conditions and during Voluntary and Evoked Arm Movements under Limb Unloading Conditions


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Locomotion of mammals, including humans, is based on the rhythmic activity of spinal cord circuitries. The functioning of these circuitries depends on multimodal afferent information and on supraspinal influences from the motor cortex. Using the method of transcranial magnetic stimulation (TMS) of arm muscle areas in the motor cortex, we studied the motor evoked potentials (MEP) in the upper arm muscles in stationary conditions and during voluntary and vibration-evoked arm movements. The study included 13 healthy subjects under arm and leg unloading conditions. In the first series of experiments, with motionless limbs, the effect of vibration of left upper arm muscles on motor responses in these muscles was evaluated. In the second series of experiments, MEP were compared in the same muscles during voluntary and rhythmic movements generated by left arm m. triceps brachii vibration (the right arm was stationary). Motionless left arm vibration led to an increase in MEP values in both vibrated muscle and in most of the non-vibrated muscles. For most target muscles, MEP was greater with voluntary arm movements than with vibration-evoked movements. At the same time, a similar MEP modulation in the cycle of arm movements was observed in the same upper arm muscles during both types of arm movements. TMS of the motor cortex significantly potentiated arm movements generated by vibration, but its effect on voluntary movements was weaker. These results indicate significant differences in the degree of motor cortex involvement in voluntary and evoked arm movements. We suppose that evoked arm movements are largely due to spinal rather than central mechanisms of generation of rhythmic movements.

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I. Solopova

Kharkevich Institute of Information Transfer Problems

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Email: solopova@iitp.ru
俄罗斯联邦, Moscow

V. Selionov

Kharkevich Institute of Information Transfer Problems

Email: solopova@iitp.ru
俄罗斯联邦, Moscow

R. Gareeva

Kharkevich Institute of Information Transfer Problems; Moscow Institute of Physics and Technology

Email: solopova@iitp.ru
俄罗斯联邦, Moscow; Dolgoprudnyi, Moscow oblast

D. Zhvansky

Kharkevich Institute of Information Transfer Problems

Email: solopova@iitp.ru
俄罗斯联邦, Moscow

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