Context as Inter-domain Effects: The Hand-Action-Network Dynamic Language Embodiment Model
This chapter introduces the Hand-Action-Network Dynamic Language Embodiment (HANDLE) model, which focuses on microanatomical brain dynamics to characterize the interweaving of object-targeted manual actions and associated linguistic information. First, we present the model’s neurocognitive architecture and functional assumptions, all based on neural coupling and predictive coding principles. Then, we explain the notational devices used to illustrate specific motor-language coupling effects. Next, we summarize the model’s main hypotheses and review critical evidence to test them. Moreover, we discuss its clinical implications, focusing on the detection of early cognitive deficits in Parkinson’s disease. Finally, we identify key questions and challenges to be addressed in future research. In sum, HANDLE incarnates a novel framework to explore fine-grained contextual codeterminations among the brain, body, and environment.
KeywordsHANDLE Action-language coupling Motor cognition Parkinson’s disease Embodiment disrupted Predictive coding Motor diseases
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