Hauptseite > Publikationsdatenbank > Effective Connectivity of the Left BA44, BA45, and Inferior Temporal Gyrus during Lexical and Phonological Decisions Identified with DCM > print

001     3457
005     20180208220939.0
024 7 _ |2 pmid
|a pmid:18095285
024 7 _ |2 DOI
|a 10.1002/hbm.20512
024 7 _ |2 WOS
|a WOS:000263232800005
037 _ _ |a PreJuSER-3457
041 _ _ |a eng
082 _ _ |a 610
084 _ _ |2 WoS
|a Neurosciences
084 _ _ |2 WoS
|a Neuroimaging
084 _ _ |2 WoS
|a Radiology, Nuclear Medicine & Medical Imaging
100 1 _ |0 P:(DE-Juel1)VDB33807
|a Heim, S.
|b 0
|u FZJ
245 _ _ |a Effective Connectivity of the Left BA44, BA45, and Inferior Temporal Gyrus during Lexical and Phonological Decisions Identified with DCM
260 _ _ |a New York, NY
|b Wiley-Liss
|c 2009
300 _ _ |a 392 - 402
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
336 7 _ |2 DRIVER
|a article
440 _ 0 |0 2398
|a Human Brain Mapping
|v 30
|x 1065-9471
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Distinct 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.
536 _ _ |0 G:(DE-Juel1)FUEK409
|2 G:(DE-HGF)
|a Funktion und Dysfunktion des Nervensystems
|c P33
|x 0
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Adult
650 _ 2 |2 MeSH
|a Bayes Theorem
650 _ 2 |2 MeSH
|a Decision Making: physiology
650 _ 2 |2 MeSH
|a Dominance, Cerebral: physiology
650 _ 2 |2 MeSH
|a Efferent Pathways: anatomy & histology
650 _ 2 |2 MeSH
|a Efferent Pathways: physiology
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Frontal Lobe: anatomy & histology
650 _ 2 |2 MeSH
|a Frontal Lobe: physiology
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Language
650 _ 2 |2 MeSH
|a Language Tests
650 _ 2 |2 MeSH
|a Magnetic Resonance Imaging
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Pattern Recognition, Visual: physiology
650 _ 2 |2 MeSH
|a Phonetics
650 _ 2 |2 MeSH
|a Photic Stimulation
650 _ 2 |2 MeSH
|a Reading
650 _ 2 |2 MeSH
|a Symbolism
650 _ 2 |2 MeSH
|a Temporal Lobe: physiology
650 _ 2 |2 MeSH
|a Verbal Behavior: physiology
650 _ 2 |2 MeSH
|a Young Adult
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a dynamic causal modelling
653 2 0 |2 Author
|a fMRI
653 2 0 |2 Author
|a words
653 2 0 |2 Author
|a pseudowords
653 2 0 |2 Author
|a phonological decision
653 2 0 |2 Author
|a lexical decision
653 2 0 |2 Author
|a Broca's region
700 1 _ |0 P:(DE-Juel1)131678
|a Eickhoff, S. B.
|b 1
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Ischebeck, A. K.
|b 2
700 1 _ |0 P:(DE-HGF)0
|a Friederici, A.
|b 3
700 1 _ |0 P:(DE-HGF)0
|a Stephan, K. E.
|b 4
700 1 _ |0 P:(DE-Juel1)131631
|a Amunts, K.
|b 5
|u FZJ
773 _ _ |0 PERI:(DE-600)1492703-2
|a 10.1002/hbm.20512
|g Vol. 30, p. 392 - 402
|p 392 - 402
|q 30<392 - 402
|t Human brain mapping
|v 30
|x 1065-9471
|y 2009
856 7 _ |u http://dx.doi.org/10.1002/hbm.20512
909 C O |o oai:juser.fz-juelich.de:3457
|p VDB
913 1 _ |0 G:(DE-Juel1)FUEK409
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|l Funktion und Dysfunktion des Nervensystems
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914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
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981 _ _ |a I:(DE-Juel1)INM-2-20090406
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