Dynamic modulation of the action observation network by movement familiarity

Gardner, T., Goulden, N. and Cross, E. S. (2015) Dynamic modulation of the action observation network by movement familiarity. Journal of Neuroscience, 35(4), pp. 1561-1572. (doi: 10.1523/JNEUROSCI.2942-14.2015) (PMID:25632133) (PMCID:PMC4308602)

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Abstract

When watching another person's actions, a network of sensorimotor brain regions, collectively termed the action observation network (AON), is engaged. Previous research suggests that the AON is more responsive when watching familiar compared with unfamiliar actions. However, most research into AON function is premised on comparisons of AON engagement during different types of task using univariate, magnitude-based approaches. To better understand the relationship between action familiarity and AON engagement, here we examine how observed movement familiarity modulates AON activity in humans using dynamic causal modeling, a type of effective connectivity analysis. Twenty-one subjects underwent fMRI scanning while viewing whole-body dance movements that varied in terms of their familiarity. Participants' task was to either predict the next posture the dancer's body would assume or to respond to a non–action-related attentional control question. To assess individuals' familiarity with each movement, participants rated each video on a measure of visual familiarity after being scanned. Parametric analyses showed more activity in left middle temporal gyrus, inferior parietal lobule, and inferior frontal gyrus as videos were rated as increasingly familiar. These clusters of activity formed the regions of interest for dynamic causal modeling analyses, which revealed attenuation of effective connectivity bidirectionally between parietal and temporal AON nodes when participants observed videos they rated as increasingly familiar. As such, the findings provide partial support for a predictive coding model of the AON, as well as illuminate how action familiarity manipulations can be used to explore simulation-based accounts of action understanding.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Cross, Professor Emily
Authors: Gardner, T., Goulden, N., and Cross, E. S.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:Journal of Neuroscience
Publisher:The Society for Neuroscience
ISSN:0270-6474
ISSN (Online):1529-2401
Copyright Holders:Copyright © 2015 Gardner et al.
First Published:First published in Journal of Neuroscience 35(4):1561-1572
Publisher Policy:Reproduced under a Creative Commons License

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