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000015774 005__ 20210129210632.0
000015774 0247_ $$2pmid$$apmid:21708271
000015774 0247_ $$2DOI$$a10.1016/j.neuroimage.2011.05.089
000015774 0247_ $$2WOS$$aWOS:000294940700017
000015774 037__ $$aPreJuSER-15774
000015774 041__ $$aeng
000015774 082__ $$a610
000015774 084__ $$2WoS$$aNeurosciences
000015774 084__ $$2WoS$$aNeuroimaging
000015774 084__ $$2WoS$$aRadiology, Nuclear Medicine & Medical Imaging
000015774 1001_ $$0P:(DE-Juel1)131855$$aCieslik, E.C.$$b0$$uFZJ
000015774 245__ $$aDynamic interactions in the fronto-parietal network during a manual stimulus-response compatibility task.
000015774 260__ $$aOrlando, Fla.$$bAcademic Press$$c2011
000015774 300__ $$a860 - 869
000015774 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000015774 3367_ $$2DataCite$$aOutput Types/Journal article
000015774 3367_ $$00$$2EndNote$$aJournal Article
000015774 3367_ $$2BibTeX$$aARTICLE
000015774 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000015774 3367_ $$2DRIVER$$aarticle
000015774 440_0 $$04545$$aNeuroImage$$v58$$x1053-8119$$y3
000015774 500__ $$aThis work was partly funded by the Human Brain Project (R01-MH074457-01A1; S.B.E.), the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (Human Brain Model; K.Z., S.B.E.), and the DFG (IRTG 1328, S.B.E.).
000015774 520__ $$aAttentional orienting can be modulated by stimulus-driven bottom-up as well as task-dependent top-down processes. In a recent study we investigated the interaction of both processes in a manual stimulus-response compatibility task. Whereas the intraparietal sulcus (IPS) and the dorsal premotor cortex (dPMC) were involved in orienting towards the stimulus side facilitating congruent motor responses, the right temporoparietal junction (TPJ), right dorsolateral prefrontal cortex (DLPFC) as well as the preSMA sustained top-down control processes involved in voluntary reorienting. Here we used dynamic causal modelling to investigate the contributions and task-dependent interactions between these regions. Thirty-six models were tested, all of which included bilateral IPS, dPMC and primary motor cortex (M1) as a network transforming visual input into motor output as well as the right TPJ, right DLPFC and the preSMA as task-dependent top-down regions influencing the coupling within the dorsal network. Our data showed the right temporoparietal junction to play a mediating role during attentional reorienting processes by modulating the inter-hemispheric balance between both IPS. Analysis of connection strength supported the proposed role of the preSMA in controlling motor responses promoting or suppressing activity in primary motor cortex. As the results did not show a clear tendency towards a role of the right DLPFC, we propose this region, against the usual interpretation of an inhibitory influence in stimulus-response compatibility tasks, to subserve generic monitoring processes. Our DCM study hence provides evidence for context-dependent top-down control of right TPJ and DLPFC as well as the preSMA in stimulus-response compatibility.
000015774 536__ $$0G:(DE-Juel1)FUEK409$$2G:(DE-HGF)$$aFunktion und Dysfunktion des Nervensystems (FUEK409)$$cFUEK409$$x0
000015774 536__ $$0G:(DE-HGF)POF2-89571$$a89571 - Connectivity and Activity (POF2-89571)$$cPOF2-89571$$fPOF II T$$x1
000015774 588__ $$aDataset connected to Web of Science, Pubmed
000015774 650_2 $$2MeSH$$aAdult
000015774 650_2 $$2MeSH$$aAttention: physiology
000015774 650_2 $$2MeSH$$aBrain Mapping
000015774 650_2 $$2MeSH$$aFemale
000015774 650_2 $$2MeSH$$aFrontal Lobe: physiology
000015774 650_2 $$2MeSH$$aHumans
000015774 650_2 $$2MeSH$$aImage Interpretation, Computer-Assisted
000015774 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000015774 650_2 $$2MeSH$$aMale
000015774 650_2 $$2MeSH$$aMiddle Aged
000015774 650_2 $$2MeSH$$aModels, Neurological
000015774 650_2 $$2MeSH$$aNeural Pathways: physiology
000015774 650_2 $$2MeSH$$aOrientation: physiology
000015774 650_2 $$2MeSH$$aParietal Lobe: physiology
000015774 650_2 $$2MeSH$$aTask Performance and Analysis
000015774 650_2 $$2MeSH$$aYoung Adult
000015774 650_7 $$2WoSType$$aJ
000015774 7001_ $$0P:(DE-Juel1)131714$$aZilles, K.$$b1$$uFZJ
000015774 7001_ $$0P:(DE-HGF)0$$aGrefkes, C.$$b2
000015774 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, S.B.$$b3$$uFZJ
000015774 773__ $$0PERI:(DE-600)1471418-8$$a10.1016/j.neuroimage.2011.05.089$$gVol. 58, p. 860 - 869$$p860 - 869$$q58<860 - 869$$tNeuroImage$$v58$$x1053-8119$$y2011
000015774 8567_ $$uhttp://dx.doi.org/10.1016/j.neuroimage.2011.05.089
000015774 909CO $$ooai:juser.fz-juelich.de:15774$$pVDB
000015774 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000015774 9141_ $$y2011
000015774 9132_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
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000015774 9201_ $$0I:(DE-Juel1)INM-2-20090406$$gINM$$kINM-2$$lMolekulare Organisation des Gehirns$$x0
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