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@ARTICLE{Heim:5705,
author = {Heim, S. and Eickhoff, S. B. and Amunts, K.},
title = {{D}ifferent roles of cytoarchitectonic {BA}44 and {BA}45 in
phonological and semantic verbal fluency as revealed by
dynamic causal modelling},
journal = {NeuroImage},
volume = {48},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {PreJuSER-5705},
pages = {616 - 624},
year = {2009},
note = {This Human Brain Project/Neuroinformatics research is
funded by the National Institute of Biomedical Imaging and
Bioengineering, the National Institute of Neurological
Disorders and Stroke, and the National Institute of Mental
Health (KA). Further support by the Brain Imaging Center
West (BMBF 01GO0204) is gratefully acknowledged. We thank N.
Jon Shah for the support of the NMR group at the INB-3
during fMRI data acquisition, in particular Barbara
Elghahwagi for her assistance with fMRI data recording.
Moreover, we appreciate the support by the Cognitive
Neurology group at the INB-3, in particular by Ralph
Weidner, Shahram Mirzazade, and Marcus Wilms, with respect
to the peripheral stimulation devices.},
abstract = {The interactions of left cytoarchitectonic BA 44 and BA 45
during semantic and phonological verbal fluency tasks were
investigated using dynamic causal modelling (DCM). Three
different models were tested, all of which featured BA 44
and BA 45 as top-down driven interconnected nodes projecting
to the motor cortex as the final output region. Model #1
represents the hypothesis that BA 45 is involved in lexical
retrieval including both semantic and phonological
processes, while BA 44 supports other phonological
processes. Model #2 reflects the notion of a clear-cut
segregation of computational processes sustained by BA 44
(phonological processing) and BA 45 (semantic processing).
Model #3 was based on the hypothesis that both BA 44 and BA
45 support semantic and phonological processing. When these
models were compared against each other by Bayesian model
selection, evidence emerged in favour of the first model,
implying that BA 45 supports word retrieval processes
whereas BA 44 is involved in processing phonological
information during word generation. In a subsequent analysis
of the derived model parameters for model #1, all connection
strengths were significantly positive except for the
inhibitory coupling between BA 44 and BA 45. This inhibition
may reflect how the phonological analysis in BA 44 during
word generation constrains lexical word retrieval in BA 45.
To conclude, DCM provided additional insights into the roles
of BA 44 and BA 45 during verbal fluency revealing the
involvement of BA 45 in lexical retrieval and the relevance
of BA 44 for phonological processing during word
generation.},
keywords = {Adult / Bayes Theorem / Computer Simulation / Female /
Frontal Lobe: physiology / Humans / Language / Language
Tests / Linear Models / Linguistics / Magnetic Resonance
Imaging / Male / Mental Processes: physiology / Models,
Neurological / Motor Cortex: physiology / Neural Inhibition
/ Neural Pathways: physiology / Phonetics / Psychomotor
Performance: physiology / Speech: physiology / J (WoSType)},
cin = {INM-2 / INM-1 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-2-20090406 / I:(DE-Juel1)INM-1-20090406 /
$I:(DE-82)080010_20140620$},
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:19560543},
pmc = {pmc:PMC2770255},
UT = {WOS:000274724000014},
doi = {10.1016/j.neuroimage.2009.06.044},
url = {https://juser.fz-juelich.de/record/5705},
}