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The influence of visual training on predicting complex action sequences

Authors

  • Emily S. Cross,

    Corresponding author
    1. Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    2. Independent Research Group Body & Self, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    3. Department of Social and Cultural Psychology, Behavioural Science Institute, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands
    4. School of Psychology, Bangor University, Wales, United Kingdom
    5. Institute of Cognitive Neuroscience, University College London, United Kingdom
    • School of Psychology, Adeilad Brigantia, Bangor University, Bangor, Wales, UK, LL57 2AS
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  • Waltraud Stadler,

    1. Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    2. School of Psychology, Bangor University, Wales, United Kingdom
    3. Institute of Cognitive Neuroscience, University College London, United Kingdom
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  • Jim Parkinson,

    1. Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    2. Movement Science Unit, Faculty for Sports and Health Science, Technical University Munich, Germany
    3. Institute of Cognitive Neuroscience, University College London, United Kingdom
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  • Simone Schütz-Bosbach,

    1. Independent Research Group Body & Self, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    2. Institute of Cognitive Neuroscience, University College London, United Kingdom
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  • Wolfgang Prinz

    1. Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
    2. Institute of Cognitive Neuroscience, University College London, United Kingdom
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Abstract

Linking observed and executable actions appears to be achieved by an action observation network (AON), comprising parietal, premotor, and occipitotemporal cortical regions of the human brain. AON engagement during action observation is thought to aid in effortless, efficient prediction of ongoing movements to support action understanding. Here, we investigate how the AON responds when observing and predicting actions we cannot readily reproduce before and after visual training. During pre- and posttraining neuroimaging sessions, participants watched gymnasts and wind-up toys moving behind an occluder and pressed a button when they expected each agent to reappear. Between scanning sessions, participants visually trained to predict when a subset of stimuli would reappear. Posttraining scanning revealed activation of inferior parietal, superior temporal, and cerebellar cortices when predicting occluded actions compared to perceiving them. Greater activity emerged when predicting untrained compared to trained sequences in occipitotemporal cortices and to a lesser degree, premotor cortices. The occipitotemporal responses when predicting untrained agents showed further specialization, with greater responses within body-processing regions when predicting gymnasts' movements and in object-selective cortex when predicting toys' movements. The results suggest that (1) select portions of the AON are recruited to predict the complex movements not easily mapped onto the observer's body and (2) greater recruitment of these AON regions supports prediction of less familiar sequences. We suggest that the findings inform both the premotor model of action prediction and the predictive coding account of AON function. Hum Brain Mapp, 2013. © 2011 Wiley Periodicals, Inc.

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