GARCIA adolfo Martin
congresos y reuniones científicas
How manual action networks support hand-related language
Sao Leopoldo
Otro; XVIII Colóquio de Filosofia da UNISINOS Filosofia & Cognição; 2015
Institución organizadora:
Facultad de Filosofía de Unisinos
The neural networks supporting hand actions are critical to our humanness. They allow us to draw complex figures, play musical instruments, and manipulate countless objects. Furthermore, as shown by embodied cognition research, they play a role in high-order cognition, including language processing. In this talk, I will present results from experiments involving varied manual responses in the context of hand-related language (i.e., verbal expressions denoting hand actions or alluding to their ultimate goal). The evidence motivates a novel theoretical proposal: the Hand-Action-Network Dynamic Language Embodiment (HANDLE) model. Based on well-established neurocognitive principles, HANDLE accounts for key and often overlooked aspects of motor-language coupling, namely, (i) effect variability, (ii) temporal dynamicity, (iii) modulation by verbal variables, (iv) sensitivity to motor complexity, and (v) representational granularity. Crucially, HANDLE explains when language-induced motor resonance during manual actions yields interference, facilitation, and null effects, shedding light on key functional aspects of the phenomenon. Moreover, recent findings captured by the model have promising implications for the early detection of motor disorders. All in all, this presentation seeks to move beyond static and coarse-grained conceptions of embodied cognition while paving the way for new basic and translational research in the field.