Literature DB >> 28000082

The influence of action observation on action execution: Dissociating the contribution of action on perception, perception on action, and resolving conflict.

Eliane Deschrijver1, Jan R Wiersema2, Marcel Brass3.   

Abstract

For more than 15 years, motor interference paradigms have been used to investigate the influence of action observation on action execution. Most research on so-called automatic imitation has focused on variables that play a modulating role or investigated potential confounding factors. Interestingly, furthermore, a number of functional magnetic resonance imaging (fMRI) studies have tried to shed light on the functional mechanisms and neural correlates involved in imitation inhibition. However, these fMRI studies, presumably due to poor temporal resolution, have primarily focused on high-level processes and have neglected the potential role of low-level motor and perceptual processes. In the current EEG study, we therefore aimed to disentangle the influence of low-level perceptual and motoric mechanisms from high-level cognitive mechanisms. We focused on potential congruency differences in the visual N190 - a component related to the processing of biological motion, the Readiness Potential - a component related to motor preparation, and the high-level P3 component. Interestingly, we detected congruency effects in each of these components, suggesting that the interference effect in an automatic imitation paradigm is not only related to high-level processes such as self-other distinction but also to more low-level influences of perception on action and action on perception. Moreover, we documented relationships of the neural effects with (autistic) behavior.

Entities:  

Keywords:  Imitation inhibition; Laplacian; N190; P3; Readiness Potential; Self-other distinction

Mesh:

Year:  2017        PMID: 28000082     DOI: 10.3758/s13415-016-0485-5

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  79 in total

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  7 in total

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5.  Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG.

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Authors:  Birgit Rauchbauer; Daniela M Pfabigan; Claus Lamm
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  7 in total

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