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@ARTICLE{Heim:3457,
      author       = {Heim, S. and Eickhoff, S. B. and Ischebeck, A. K. and
                      Friederici, A. and Stephan, K. E. and Amunts, K.},
      title        = {{E}ffective {C}onnectivity of the {L}eft {BA}44, {BA}45,
                      and {I}nferior {T}emporal {G}yrus during {L}exical and
                      {P}honological {D}ecisions {I}dentified with {DCM}},
      journal      = {Human brain mapping},
      volume       = {30},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {PreJuSER-3457},
      pages        = {392 - 402},
      year         = {2009},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {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.},
      keywords     = {Adult / Bayes Theorem / Decision Making: physiology /
                      Dominance, Cerebral: physiology / Efferent Pathways: anatomy
                      $\&$ histology / Efferent Pathways: physiology / Female /
                      Frontal Lobe: anatomy $\&$ histology / Frontal Lobe:
                      physiology / Humans / Language / Language Tests / Magnetic
                      Resonance Imaging / Male / Pattern Recognition, Visual:
                      physiology / Phonetics / Photic Stimulation / Reading /
                      Symbolism / Temporal Lobe: physiology / Verbal Behavior:
                      physiology / Young Adult / J (WoSType)},
      cin          = {INM-1 / INM-2 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-2-20090406 /
                      $I:(DE-82)080010_20140620$},
      pnm          = {Funktion und Dysfunktion des Nervensystems},
      pid          = {G:(DE-Juel1)FUEK409},
      shelfmark    = {Neurosciences / Neuroimaging / Radiology, Nuclear Medicine
                      $\&$ Medical Imaging},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:18095285},
      UT           = {WOS:000263232800005},
      doi          = {10.1002/hbm.20512},
      url          = {https://juser.fz-juelich.de/record/3457},
}