2008
DOI: 10.1016/j.neuroimage.2008.07.028
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Differences in early sensory-perceptual processing in synesthesia: A visual evoked potential study

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Cited by 99 publications
(124 citation statements)
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“…(e.g. Barnett et al, 2008;Terhune et al, 2015). We note, however, that while the face composite effect may rely more on low-spatial frequency information (Goffaux & Rossion, 2006) there are likely to be a number of other factors that might contribute to performance differences between the face composite task and CFPT measures.…”
Section: Discussionmentioning
confidence: 79%
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“…(e.g. Barnett et al, 2008;Terhune et al, 2015). We note, however, that while the face composite effect may rely more on low-spatial frequency information (Goffaux & Rossion, 2006) there are likely to be a number of other factors that might contribute to performance differences between the face composite task and CFPT measures.…”
Section: Discussionmentioning
confidence: 79%
“…Prior work has suggested that colour synaesthetes show greater perceptual and cortical responsiveness to high spatial frequency information (e.g. Barnett et al, 2008;Terhune et al, 2015). For example, Barnett and colleagues (2008) report that synaesthetes who experience colour as their evoked sensation show enhanced sensitivity to high spatial frequency Gabor patches that bias parvocellular channels, but not low spatial frequency stimuli processed via magnocellular streams.…”
Section: Experiments 1 Discussionmentioning
confidence: 99%
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“…There is converging evidence from functional imaging studies, diffusion tensor imaging, and voxelbased morphometry that temporal regions related to processing form and colour and parietal areas related to binding processes are critically involved in (grapheme-colour) synaesthesia (Hubbard et al 2005;; Hubbard, Brang, and Ramachandran 2011;Scholte 2007, 2010;; Weiss and Fink synaesthetes may differ in magno-and parvo-cellular processing (Barnett et al 2008). In addition, a recent study has suggested that synaesthesia is accompanied by globally altered brain network topology (Hänggi et al 2011).…”
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confidence: 99%