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000009036 0247_ $$2pmid$$apmid:19687293
000009036 0247_ $$2DOI$$a10.1093/cercor/bhp144
000009036 0247_ $$2WOS$$aWOS:000275566500003
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000009036 084__ $$2WoS$$aNeurosciences
000009036 1001_ $$0P:(DE-HGF)0$$aGrefkes, C.$$b0
000009036 245__ $$aNoradrenergic Modulation of Cortical Networks Engaged in Visuomotor Processing
000009036 260__ $$aOxford$$bOxford Univ. Press$$c2010
000009036 300__ $$a783 - 797
000009036 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000009036 440_0 $$01171$$aCerebral Cortex$$v20$$x1047-3211$$y4
000009036 500__ $$aMarie Curie Early Stage Training Programme "NovoBrain'' funded by the European Union to L. E. W.; Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology to S. B. E.
000009036 520__ $$aBoth animal and human data suggest that stimulation of the noradrenergic system may influence neuronal excitability in regions engaged in sensory processing and visuospatial attention. We tested the hypothesis that the neural mechanisms subserving motor performance in tasks relying on the visuomotor control of goal-directed hand movements might be modulated by noradrenergic influences. Healthy subjects were stimulated using the selective noradrenaline reuptake inhibitor reboxetine (RBX) in a placebo-controlled crossover design. Functional magnetic resonance imaging and dynamic causal modeling (DCM) were used to assess drug-related changes in blood oxygen level-dependent activity and interregional connectivity while subjects performed a joystick task requiring goal-directed movements. Improved task performance under RBX was associated with increased activity in right visual, intraparietal and superior frontal cortex (premotor/frontal eye field). DCM revealed that the neuronal coupling among these regions was significantly enhanced when subjects were stimulated with RBX. Concurrently, right intraparietal cortex and right superior frontal cortex exerted a stronger driving influence on visuomotor areas of the left hemisphere, including SMA and M1. These effects were independent from task difficulty. The data suggest that stimulating noradrenergic mechanisms may rearrange the functional network architecture within and across the hemispheres, for example, by synaptic gating, thereby optimizing motor behavior.
000009036 536__ $$0G:(DE-Juel1)FUEK409$$2G:(DE-HGF)$$aFunktion und Dysfunktion des Nervensystems (FUEK409)$$cFUEK409$$x0
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000009036 588__ $$aDataset connected to Web of Science, Pubmed
000009036 65320 $$2Author$$aeffective connectivity
000009036 65320 $$2Author$$anoradrenaline
000009036 65320 $$2Author$$aparietofrontal circuits
000009036 65320 $$2Author$$apharmacological fMRI
000009036 65320 $$2Author$$avisuomotor control
000009036 650_2 $$2MeSH$$aAdrenergic Uptake Inhibitors: pharmacology
000009036 650_2 $$2MeSH$$aAdult
000009036 650_2 $$2MeSH$$aAnalysis of Variance
000009036 650_2 $$2MeSH$$aBayes Theorem
000009036 650_2 $$2MeSH$$aBrain Mapping
000009036 650_2 $$2MeSH$$aCerebral Cortex: blood supply
000009036 650_2 $$2MeSH$$aCerebral Cortex: drug effects
000009036 650_2 $$2MeSH$$aCerebral Cortex: metabolism
000009036 650_2 $$2MeSH$$aCerebral Cortex: physiology
000009036 650_2 $$2MeSH$$aDouble-Blind Method
000009036 650_2 $$2MeSH$$aFemale
000009036 650_2 $$2MeSH$$aFunctional Laterality: drug effects
000009036 650_2 $$2MeSH$$aHumans
000009036 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: methods
000009036 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000009036 650_2 $$2MeSH$$aMale
000009036 650_2 $$2MeSH$$aModels, Neurological
000009036 650_2 $$2MeSH$$aMorpholines: pharmacology
000009036 650_2 $$2MeSH$$aNeural Pathways: blood supply
000009036 650_2 $$2MeSH$$aNeural Pathways: drug effects
000009036 650_2 $$2MeSH$$aNeural Pathways: physiology
000009036 650_2 $$2MeSH$$aNorepinephrine: metabolism
000009036 650_2 $$2MeSH$$aOxygen: blood
000009036 650_2 $$2MeSH$$aPhotic Stimulation: methods
000009036 650_2 $$2MeSH$$aPsychomotor Performance: drug effects
000009036 650_2 $$2MeSH$$aPsychomotor Performance: physiology
000009036 650_2 $$2MeSH$$aTime Factors
000009036 650_2 $$2MeSH$$aYoung Adult
000009036 650_7 $$00$$2NLM Chemicals$$aAdrenergic Uptake Inhibitors
000009036 650_7 $$00$$2NLM Chemicals$$aMorpholines
000009036 650_7 $$051-41-2$$2NLM Chemicals$$aNorepinephrine
000009036 650_7 $$07782-44-7$$2NLM Chemicals$$aOxygen
000009036 650_7 $$098769-81-4$$2NLM Chemicals$$areboxetine
000009036 650_7 $$2WoSType$$aJ
000009036 7001_ $$0P:(DE-Juel1)VDB75806$$aWang, L.E.$$b1$$uFZJ
000009036 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, S. B.$$b2$$uFZJ
000009036 7001_ $$0P:(DE-Juel1)131720$$aFink, G. R.$$b3$$uFZJ
000009036 773__ $$0PERI:(DE-600)1483485-6$$a10.1093/cercor/bhp144$$gVol. 20, p. 783 - 797$$p783 - 797$$q20<783 - 797$$tCerebral cortex$$v20$$x1047-3211$$y2010
000009036 8567_ $$uhttp://dx.doi.org/10.1093/cercor/bhp144
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