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Effect of Congenital Blindness on the Semantic Representation of Some Everyday Concepts

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Specialty Science
Date 2007 May 8
PMID 17483447
Citations 19
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Abstract

This study explores how the lack of first-hand experience with color, as a result of congenital blindness, affects implicit judgments about "higher-order" concepts, such as "fruits and vegetables" (FV), but not others, such as "household items" (HHI). We demonstrate how the differential diagnosticity of color across our test categories interacts with visual experience to produce, in effect, a category-specific difference in implicit similarity. Implicit pair-wise similarity judgments were collected by using an odd-man-out triad task. Pair-wise similarities for both FV and for HHI were derived from this task and were compared by using cluster analysis and regression analyses. Color was found to be a significant component in the structure of implicit similarity for FV for sighted participants but not for blind participants; and this pattern remained even when the analysis was restricted to blind participants who had good explicit color knowledge of the stimulus items. There was also no evidence that either subject group used color knowledge in making decisions about HHI, nor was there an indication of any qualitative differences between blind and sighted subjects' judgments on HHI.

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References
1.
Mummery C, Patterson K, Hodges J, Wise R . Generating 'tiger' as an animal name or a word beginning with T: differences in brain activation. Proc Biol Sci. 1996; 263(1373):989-95. DOI: 10.1098/rspb.1996.0146. View

2.
Martin A, Wiggs C, Ungerleider L, Haxby J . Neural correlates of category-specific knowledge. Nature. 1996; 379(6566):649-52. DOI: 10.1038/379649a0. View

3.
Crutch S, Warrington E . The selective impairment of fruit and vegetable knowledge:amultiple processing channels account of fine-grain category specificity. Cogn Neuropsychol. 2010; 20(3):355-72. DOI: 10.1080/02643290244000220. View

4.
Spitzer M, Kwong K, Kennedy W, Rosen B, Belliveau J . Category-specific brain activation in fMRI during picture naming. Neuroreport. 1995; 6(16):2109-12. DOI: 10.1097/00001756-199511000-00003. View

5.
Aguirre G, DEsposito M, Farah M . A neural basis for category and modality specificity of semantic knowledge. Neuropsychologia. 1999; 37(6):671-6. DOI: 10.1016/s0028-3932(98)00126-2. View