%0 Journal Article
%A Eickhoff, S. B.
%A Heim, S.
%A Zilles, K.
%A Amunts, K.
%T A systems perspective on the effective connectivity of overt speech production
%J Philosophical transactions of the Royal Society of London / A
%V 367
%@ 1364-503X
%C London
%I Soc.
%M PreJuSER-4420
%P 2399 - 2421
%D 2009
%Z This Human Brain Project/Neuroinformatics research was 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. Further funding was provided by the DFG (KFO-112; to K.Z.), the BMBF (01GW0771; to K.A.), the Human Brain Project (R01-MH074457-01A1; to S.B.E.) and the Helmholz Initiative on Systems-Biology (to K.Z. and S. B.E.).
%X The aim of this study was to provide a computational system model of effective connectivity in the human brain underlying overt speech production. Meta-analysis of neuroimaging studies and functional magnetic resonance imaging data acquired during a verbal fluency task revealed a core network consisting of Brodmann's area (BA) 44 in Broca's region, anterior insula, basal ganglia, cerebellum, premotor cortex (PMC, BA 6) and primary motor cortex (M1, areas 4a/4p). Dynamic causal modelling (DCM) indicated the highest evidence for a system architecture featuring the insula in a serial position between BA 44 and two parallel nodes (cerebellum/basal ganglia), from which information converges onto the PMC and finally M1. Parameter inference revealed that effective connectivity from the insular relay into the cerebellum/basal ganglia is primarily task driven (preparation) while the output into the cortical motor system strongly depends on the actual word production rate (execution). DCM hence allowed not only a quantitative characterization of the human speech production network, but also the distinction of a preparatory and an executive subsystem within it. The proposed model of physiological integration during speech production may now serve as a reference for investigations into the neurobiology of pathological states such as dysarthria and apraxia of speech.
%K Humans
%K Magnetic Resonance Imaging
%K Models, Biological
%K Speech
%K Systems Biology
%K J (WoSType)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:19414462
%2 pmc:PMC3268212
%U <Go to ISI:>//WOS:000265731600015
%R 10.1098/rsta.2008.0287
%U https://juser.fz-juelich.de/record/4420