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Sensorimotor semantics on the spot: brain activity dissociates between conceptual categories within 150 ms.


ABSTRACT: Although semantic processing has traditionally been associated with brain responses maximal at 350-400 ms, recent studies reported that words of different semantic types elicit topographically distinct brain responses substantially earlier, at 100-200 ms. These earlier responses have, however, been achieved using insufficiently precise source localisation techniques, therefore casting doubt on reported differences in brain generators. Here, we used high-density MEG-EEG recordings in combination with individual MRI images and state-of-the-art source reconstruction techniques to compare localised early activations elicited by words from different semantic categories in different cortical areas. Reliable neurophysiological word-category dissociations emerged bilaterally at ~ 150 ms, at which point action-related words most strongly activated frontocentral motor areas and visual object-words occipitotemporal cortex. These data now show that different cortical areas are activated rapidly by words with different meanings and that aspects of their category-specific semantics is reflected by dissociating neurophysiological sources in motor and visual brain systems.

SUBMITTER: Moseley RL 

PROVIDER: S-EPMC3671355 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Sensorimotor semantics on the spot: brain activity dissociates between conceptual categories within 150 ms.

Moseley Rachel L RL   Pulvermüller Friedemann F   Shtyrov Yury Y  

Scientific reports 20130101


Although semantic processing has traditionally been associated with brain responses maximal at 350-400 ms, recent studies reported that words of different semantic types elicit topographically distinct brain responses substantially earlier, at 100-200 ms. These earlier responses have, however, been achieved using insufficiently precise source localisation techniques, therefore casting doubt on reported differences in brain generators. Here, we used high-density MEG-EEG recordings in combination  ...[more]

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