Metaphors are psycholinguistic phenomena that reveal human cognition, yet their neural basis in naturalistic contexts remains underexplored. This study combines electroencephalography (EEG) with MetaPro, a computational metaphor processing tool, to examine how metaphorical language is reflected in brain activity during natural reading. The analysis identifies EEG differences between metaphorical and literal language, including high-frequency variability and functional connectivity patterns. These findings provide empirical evidence that neural signals can help differentiate cognitive processes involved in metaphor comprehension.
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