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000003457 0247_ $$2pmid$$apmid:18095285
000003457 0247_ $$2DOI$$a10.1002/hbm.20512
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000003457 041__ $$aeng
000003457 082__ $$a610
000003457 084__ $$2WoS$$aNeurosciences
000003457 084__ $$2WoS$$aNeuroimaging
000003457 084__ $$2WoS$$aRadiology, Nuclear Medicine & Medical Imaging
000003457 1001_ $$0P:(DE-Juel1)VDB33807$$aHeim, S.$$b0$$uFZJ
000003457 245__ $$aEffective Connectivity of the Left BA44, BA45, and Inferior Temporal Gyrus during Lexical and Phonological Decisions Identified with DCM
000003457 260__ $$aNew York, NY$$bWiley-Liss$$c2009
000003457 300__ $$a392 - 402
000003457 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000003457 3367_ $$2BibTeX$$aARTICLE
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000003457 440_0 $$02398$$aHuman Brain Mapping$$v30$$x1065-9471
000003457 500__ $$aRecord converted from VDB: 12.11.2012
000003457 520__ $$aDistinct regions in the left inferior frontal gyrus (IFG) preferentially support the processing of different word-types (e.g., real words, pseudowords) and tasks (e.g., lexical decisions, phonological decisions) in visual word recognition. However, the functional connectivity underlying the task-related specialisation of regions in the left IFG is not yet well understood. In this study we investigated the neural mechanisms driving the interaction of WORD-TYPE (real word vs. pseudoword) and TASK (lexical vs. phonological decision) in Brodmann's area (BA) 45 in the left IFG using dynamic causal modelling (DCM). Four different models were compared, all of which included left BA44, left BA45, and left inferior temporal gyrus (ITG). In each model, the visual presentation of words and pseudowords is assumed to directly evoke activity in the ITG and is then thought to be subsequently propagated to BA45 and to BA44 via direct intrinsic connections. The models differed with regard to which connections were modulated by the different tasks. Both tasks were assumed to either modulate the ITG_BA45 connection (Model #1), or the BA44_BA45 connection (Model #2), or both connections in parallel (Model #3). In Model #4 lexical decisions modulated the ITG_BA45 connection, whereas phonological decisions modulated the BA44_BA45 connection. Bayesian model selection revealed a superiority of Model #1. In this model, the strength of the ITG_BA45 connection was enhanced during lexical decisions. This model is in line with the hypothesis that left BA 45 supports explicit lexical decisions during visual word recognition based on lexical access in the ITG.
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000003457 588__ $$aDataset connected to Web of Science, Pubmed
000003457 65320 $$2Author$$adynamic causal modelling
000003457 65320 $$2Author$$afMRI
000003457 65320 $$2Author$$awords
000003457 65320 $$2Author$$apseudowords
000003457 65320 $$2Author$$aphonological decision
000003457 65320 $$2Author$$alexical decision
000003457 65320 $$2Author$$aBroca's region
000003457 650_2 $$2MeSH$$aAdult
000003457 650_2 $$2MeSH$$aBayes Theorem
000003457 650_2 $$2MeSH$$aDecision Making: physiology
000003457 650_2 $$2MeSH$$aDominance, Cerebral: physiology
000003457 650_2 $$2MeSH$$aEfferent Pathways: anatomy & histology
000003457 650_2 $$2MeSH$$aEfferent Pathways: physiology
000003457 650_2 $$2MeSH$$aFemale
000003457 650_2 $$2MeSH$$aFrontal Lobe: anatomy & histology
000003457 650_2 $$2MeSH$$aFrontal Lobe: physiology
000003457 650_2 $$2MeSH$$aHumans
000003457 650_2 $$2MeSH$$aLanguage
000003457 650_2 $$2MeSH$$aLanguage Tests
000003457 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000003457 650_2 $$2MeSH$$aMale
000003457 650_2 $$2MeSH$$aPattern Recognition, Visual: physiology
000003457 650_2 $$2MeSH$$aPhonetics
000003457 650_2 $$2MeSH$$aPhotic Stimulation
000003457 650_2 $$2MeSH$$aReading
000003457 650_2 $$2MeSH$$aSymbolism
000003457 650_2 $$2MeSH$$aTemporal Lobe: physiology
000003457 650_2 $$2MeSH$$aVerbal Behavior: physiology
000003457 650_2 $$2MeSH$$aYoung Adult
000003457 650_7 $$2WoSType$$aJ
000003457 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, S. B.$$b1$$uFZJ
000003457 7001_ $$0P:(DE-HGF)0$$aIschebeck, A. K.$$b2
000003457 7001_ $$0P:(DE-HGF)0$$aFriederici, A.$$b3
000003457 7001_ $$0P:(DE-HGF)0$$aStephan, K. E.$$b4
000003457 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b5$$uFZJ
000003457 773__ $$0PERI:(DE-600)1492703-2$$a10.1002/hbm.20512$$gVol. 30, p. 392 - 402$$p392 - 402$$q30<392 - 402$$tHuman brain mapping$$v30$$x1065-9471$$y2009
000003457 8567_ $$uhttp://dx.doi.org/10.1002/hbm.20512
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000003457 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000003457 9141_ $$y2009
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000003457 9201_ $$0I:(DE-82)080010_20140620$$gJARA$$kJARA-BRAIN$$lJülich-Aachen Research Alliance - Translational Brain Medicine$$x3
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