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000019852 0247_ $$2DOI$$a10.1523/JNEUROSCI.5727-10.2011
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000019852 084__ $$2WoS$$aNeurosciences
000019852 1001_ $$0P:(DE-HGF)0$$aBilalic, M.$$b0
000019852 245__ $$aMany Faces of Expertise: Fusiform Face Area in Chess Experts and Novices
000019852 260__ $$aWashington, DC$$bSoc.$$c2011
000019852 300__ $$a10206-10214
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000019852 440_0 $$03603$$aJournal of Neuroscience$$v31$$x0270-6474$$y28
000019852 500__ $$aThis work was supported by the Deutsche Forschungsgemeinschaft project GR 833/8-1 and BI 1450/1-2. We thank Michael Erb and Luca Turella for their insightful comments and help with the analysis. The help and cooperation from chess players is greatly appreciated.
000019852 520__ $$aThe fusiform face area (FFA) is involved in face perception to such an extent that some claim it is a brain module for faces exclusively. The other possibility is that FFA is modulated by experience in individuation in any visual domain, not only faces. Here we test this latter FFA expertise hypothesis using the game of chess as a domain of investigation. We exploited the characteristic of chess, which features multiple objects forming meaningful spatial relations. In three experiments, we show that FFA activity is related to stimulus properties and not to chess skill directly. In all chess and non-chess tasks, experts' FFA was more activated than that of novices' only when they dealt with naturalistic full-board chess positions. When common spatial relationships formed by chess objects in chess positions were randomly disturbed, FFA was again differentially active only in experts, regardless of the actual task. Our experiments show that FFA contributes to the holistic processing of domain-specific multipart stimuli in chess experts. This suggests that FFA may not only mediate human expertise in face recognition but, supporting the expertise hypothesis, may mediate the automatic holistic processing of any highly familiar multipart visual input.
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000019852 650_2 $$2MeSH$$aBrain Mapping
000019852 650_2 $$2MeSH$$aFace
000019852 650_2 $$2MeSH$$aHumans
000019852 650_2 $$2MeSH$$aImage Processing, Computer-Assisted
000019852 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000019852 650_2 $$2MeSH$$aMale
000019852 650_2 $$2MeSH$$aNeuropsychological Tests
000019852 650_2 $$2MeSH$$aOrientation: physiology
000019852 650_2 $$2MeSH$$aPattern Recognition, Visual: physiology
000019852 650_2 $$2MeSH$$aReaction Time
000019852 650_2 $$2MeSH$$aTemporal Lobe: physiology
000019852 650_2 $$2MeSH$$aVisual Pathways: physiology
000019852 650_2 $$2MeSH$$aVisual Perception: physiology
000019852 650_7 $$2WoSType$$aJ
000019852 7001_ $$0P:(DE-Juel1)131693$$aLangner, R.$$b1$$uFZJ
000019852 7001_ $$0P:(DE-HGF)0$$aUlrich, R.$$b2
000019852 7001_ $$0P:(DE-HGF)0$$aGrodd, W.$$b3
000019852 773__ $$0PERI:(DE-600)1475274-8$$a10.1523/JNEUROSCI.5727-10.2011$$gVol. 31, p. 10206-10214$$p10206-10214$$q31<10206-10214$$tThe @journal of neuroscience$$v31$$x0270-6474$$y2011
000019852 8567_ $$uhttp://dx.doi.org/10.1523/JNEUROSCI.5727-10.2011
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