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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},
}