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• W2945562005 abstract "The boundaries of our understanding of conceptual representation in the brain have been redrawn since the introduction of explicit models of semantics. These models are grounded in vast behavioural datasets acquired in healthy volunteers. Here, we review the most important techniques which have been applied to detect semantic information in neuroimaging data and argue why semantic models are possibly the most valuable addition to the research of semantics in recent years. Using multivariate analysis, predictions based on patient lesion data have been confirmed during semantic processing in healthy controls. Secondly, this new method has given rise to new research avenues, e.g. the detection of semantic processing outside of the temporal cortex. As a future line of work, the same research strategy could be useful to study neurological conditions such as the semantic variant of primary progressive aphasia, which is characterized by pathological semantic processing." @default.
• W2945562005 created "2019-05-29" @default.
• W2945562005 creator A5013966591 @default.
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• W2945562005 creator A5056951260 @default.
• W2945562005 creator A5058212304 @default.
• W2945562005 creator A5071341444 @default.
• W2945562005 date "2019-08-01" @default.
• W2945562005 modified "2023-10-18" @default.
• W2945562005 title "Redefining the resolution of semantic knowledge in the brain: Advances made by the introduction of models of semantics in neuroimaging" @default.
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• W2945562005 doi "https://doi.org/10.1016/j.neubiorev.2019.05.015" @default.

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