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Imagery or meaning? Evidence for a semantic origin of category-specific brain activity in metabolic imaging

CBU number: 6761
Authors: HAUK, O., DAVIS, M.H., Kherif, F. & PULVERMULLER, F.
Reference: European Journal of Neuroscience, 27(7), 1856–1866
Link: Link
Year of publication: 2008
Abstract text: Category-specific brain activation distinguishing between semantic word types has imposed challenges on theories of semantic
representations and processes. However, existing metabolic imaging data are still ambiguous about whether these category-specific activations reflect processes involved in accessing the semantic representation of the stimuli, or secondary processes such as deliberate mental imagery. Further information about the response characteristics of category-specific activation is still required. Our study for the first time investigated the differential impact of word frequency on functional magnetic resonance imaging (fMRI) responses to action-related words and visually related words, respectively. First, we corroborated previous results showing that actionrelatedness modulates neural responses in action-related areas, while word imageability modulates activation in object processing areas. Second, we provide novel results showing that activation negatively correlated with word frequency in the left fusiform gyrus was specific for visually related words, while in the left middle temporal gyrus word frequency effects emerged only for action-related words. Following the dominant view in the literature that effects of word frequency mainly reflect access to lexico-semantic information, we suggest that category-specific brain activation reflects distributed neuronal ensembles, which ground language and concepts in perception-action systems of the human brain. Our approach can be applied to any event-related data using single-stimulus presentation, and allows a detailed characterization of the functional role of category-specific activation patterns.
First CBU author: HAUK, O.
Annual report number: CBUAR 53

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