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Title: Electroencephalogram evidence for the activation of human mirror neuron system during the observation of intransitive shadow and line drawing actions
Authors: Zhu, H
Sun, Y
Wang, F
Keywords: Neural regeneration;Clinical practice;Mirror neuron system;Action understanding;Direct matching hypothesis;Mu suppression;Event-related desynchronization;Mu rhythm;Electroencephalogram;Impoverished hand actions;Grants-supported paper;Photographs-containing paper;Neuroregeneration
Issue Date: 2013
Publisher: Medknow Publications
Citation: Neural Regeneration Research, 8(3), 251 - 257, 2013
Abstract: Previous studies have demonstrated that hand shadows may activate the motor cortex associated with the mirror neuron system in human brain. However, there is no evidence of activity of the human mirror neuron system during the observation of intransitive movements by shadows and line drawings of hands. This study examined the suppression of electroencephalography mu waves (8–13 Hz) induced by observation of stimuli in 18 healthy students. Three stimuli were used: real hand actions, hand shadow actions and actions made by line drawings of hands. The results showed significant desynchronization of the mu rhythm (“mu suppression”) across the sensorimotor cortex (recorded at C3, Cz and C4), the frontal cortex (recorded at F3, Fz and F4) and the central and right posterior parietal cortex (recorded at Pz and P4) under all three conditions. Our experimental findings suggest that the observation of “impoverished hand actions”, such as intransitive movements of shadows and line drawings of hands, is able to activate widespread cortical areas related to the putative human mirror neuron system.
Description: This article is available open access from the NCBI website at the link below. Copyright 2013 © Neural Regeneration Research. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN: 1673-5374
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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