Statements in which the resource exists.
SubjectPredicateObjectContext
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pubmed-article:17243357pubmed:dateCreated2007-1-24lld:pubmed
pubmed-article:17243357pubmed:abstractTextIf semantic representations are based on particular types of perceptual features, then category knowledge that arises from multimodal sensory experiences should rely on distinct and common sensory brain regions depending on the features involved. Using a similarity-based generation-and-comparison task, we found that semantic categories activated cortical areas associated with taste and smell, biological motion, and visual processing. Fruit names specifically activated medial orbitofrontal regions associated with taste and smell. Labels for body parts and clothing activated lateral temporal occipitoparietal areas associated with perceiving the human body. More generally, visually biased categories activated ventral temporal regions typically ascribed to visual object recognition, whereas functional categories activated lateral frontotemporal areas previously associated with the representation of usage properties. These results indicate that semantic categories that are distinguished by particular perceptual properties rely on distinct cortical regions, whereas semantic categories that rely on similar types of features depend on common brain areas.lld:pubmed
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pubmed-article:17243357pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
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pubmed-article:17243357pubmed:issn1530-7026lld:pubmed
pubmed-article:17243357pubmed:authorpubmed-author:SchneiderWWlld:pubmed
pubmed-article:17243357pubmed:authorpubmed-author:PerfettiC ACAlld:pubmed
pubmed-article:17243357pubmed:authorpubmed-author:GoldbergR FRFlld:pubmed
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pubmed-article:17243357pubmed:volume6lld:pubmed
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pubmed-article:17243357pubmed:authorsCompleteYlld:pubmed
pubmed-article:17243357pubmed:pagination214-22lld:pubmed
pubmed-article:17243357pubmed:dateRevised2011-2-24lld:pubmed
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pubmed-article:17243357pubmed:year2006lld:pubmed
pubmed-article:17243357pubmed:articleTitleDistinct and common cortical activations for multimodal semantic categories.lld:pubmed
pubmed-article:17243357pubmed:affiliationUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA. robg@psych.upenn.edulld:pubmed
pubmed-article:17243357pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:17243357pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
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