Recognition of point-light biological motion: Mu rhythms and mirror neuron activity

被引:206
作者
Ulloa, Erlinda R.
Pineda, Jaime A.
机构
[1] Univ Calif San Diego, Dept Biol, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Neurosci, La Jolla, CA 92093 USA
[4] Univ Calif San Diego, Dept Psychol, La Jolla, CA 92093 USA
关键词
EEG; mirror neurons; mu rhythm;
D O I
10.1016/j.bbr.2007.06.007
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 [法学]; 0303 [社会学]; 030303 [人类学]; 04 [教育学]; 0402 [心理学];
摘要
Changes in power in the mu frequency band (8-13 Hz) of the electroencephalogram (EEG) is thought to indirectly reflect the activity of mirror neurons in premotor cortex. Activation of these neurons by self-performed, observed or imagined motor actions is assumed to produce asynchronous firing and a reduction in mu rhythm oscillation (referred to as mu suppression) in sensorimotor cortex. A recent fMRI study by Saygin et al. [Saygin AP, Wilson SM, Hagler Jr DJ, Bates E, Sereno MI. Point-light biological motion perception activates human premotor cortex. J Neurosci 2004;24:6181-8] revealed that the premotor brain regions containing mirror-neurons are also activated in response to point-light human motion. The perceived movement of these light cues are integrated into one percept of a complete human action (e.g. jumping jacks), rather than seen as individual moving lights. The present study examined whether recruitment of the mirror neuron system, as reflected in mu rhythm suppression, mediates recognition of point-light biological motion. Changes in mu power were recorded while subjects viewed point-light biological motion videos, matched scrambled versions of these animations, and visual white-noise (baseline). The results revealed that point-light biological animations produced mu suppression relative to baseline, while scrambled versions of these animations did not. This supports the hypothesis that the mirror neuron system is involved in inferring human actions by recovering object information from sparse input. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:188 / 194
页数:7
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