According to the embodiment theory, the motor cortex
is believed to be involved in understanding the meaning
of action sentences. Our research aims at validating this
claim using the technique of univariate searchlight as an
integration of voxel-based machine learning (MVPA) and
random effect analysis in GLM. The participants of our
experiment were requested to read four types of
sentences during an fMRI scanning session, where the
sentences represent either bimanual actions, unimanual
actions, mental states (without motor implications) or
nonsense fillers. As a result, significant clusters were
found in the left angular gyrus and middle temporal
gyrus when subjects were presented with sentences
representing hand actions compared to those representing
mental states, which can be considered as regions
responsible for amodal, but not embodied, cognition
processes.
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