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000022509 0247_ $$2DOI$$a10.1016/j.neuroimage.2011.11.042
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000022509 084__ $$2WoS$$aNeurosciences
000022509 084__ $$2WoS$$aNeuroimaging
000022509 084__ $$2WoS$$aRadiology, Nuclear Medicine & Medical Imaging
000022509 1001_ $$0P:(DE-HGF)0$$aHerz, D.M.$$b0
000022509 245__ $$aTask-specific modulation of effective connectivity during two simple unimanual motor tasks: a 122-channel EEG study.
000022509 260__ $$aOrlando, Fla.$$bAcademic Press$$c2012
000022509 300__ $$a3187 - 3193
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000022509 440_0 $$04545$$aNeuroImage$$v59$$x1053-8119$$y4
000022509 500__ $$aThis study was supported by funding of the German Research Foundation in the Clinical Research Group 219 LT. DMH was supported by the Koeln Fortune Program/Faculty of Medicine, University of Cologne and a grant from the Danish Medical Research Council (grant-nr. FSS 09-072163). HRS was supported by a Grant of Excellence "ContAct" from Lundbeckfonden (R59 A5399).
000022509 520__ $$aNeural oscillations are thought to underlie coupling of spatially remote neurons and gating of information within the human sensorimotor system. Here we tested the hypothesis that different unimanual motor tasks are specifically associated with distinct patterns of oscillatory coupling in human sensorimotor cortical areas. In 13 healthy, right-handed subjects, we recorded task-induced neural activity with 122-channel electroencephalography (EEG) while subjects performed fast self-paced extension-flexion movements with the right index finger and an isometric contraction of the right forearm. Task-related modulations of inter-regional coupling within a core motor network comprising the left primary motor cortex (M1), lateral premotor cortex (lPM) and supplementary motor area (SMA) were then modeled using dynamic causal modeling (DCM). A network model postulating coupling both within and across frequencies best captured observed spectral responses according to Bayesian model selection. DCM revealed dominant coupling within the β-band (13-30 Hz) between M1 and SMA during isometric contraction of the forearm, whereas fast repetitive finger movements were characterized by strong coupling within the γ-band (31-48 Hz) and between the θ- (4-7 Hz) and the γ-band. This coupling pattern was mainly expressed in connections from lPM to SMA and from lPM to M1. We infer that human manual motor control involves task-specific modulation of inter-regional oscillatory coupling both within and across distinct frequency bands. The results highlight the potential of DCM to characterize context-specific changes in coupling within functional brain networks.
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000022509 588__ $$aDataset connected to Web of Science, Pubmed
000022509 65320 $$2Author$$aElectroencephalography (EEG)
000022509 65320 $$2Author$$aDynamic causal modeling (DCM)
000022509 65320 $$2Author$$aNeural oscillations
000022509 65320 $$2Author$$aEffective connectivity
000022509 65320 $$2Author$$aSensorimotor system
000022509 650_2 $$2MeSH$$aAdolescent
000022509 650_2 $$2MeSH$$aAdult
000022509 650_2 $$2MeSH$$aElectroencephalography: methods
000022509 650_2 $$2MeSH$$aFemale
000022509 650_2 $$2MeSH$$aFingers: physiology
000022509 650_2 $$2MeSH$$aHumans
000022509 650_2 $$2MeSH$$aIsometric Contraction
000022509 650_2 $$2MeSH$$aMale
000022509 650_2 $$2MeSH$$aMotor Cortex: physiology
000022509 650_2 $$2MeSH$$aNervous System Physiological Processes
000022509 650_2 $$2MeSH$$aTask Performance and Analysis
000022509 650_2 $$2MeSH$$aYoung Adult
000022509 650_7 $$2WoSType$$aJ
000022509 7001_ $$0P:(DE-HGF)0$$aChristensen, M.S.$$b1
000022509 7001_ $$0P:(DE-HGF)0$$aReck, C.$$b2
000022509 7001_ $$0P:(DE-HGF)0$$aFlorin, E.$$b3
000022509 7001_ $$0P:(DE-Juel1)VDB89946$$aBarbe, M.T.$$b4$$uFZJ
000022509 7001_ $$0P:(DE-HGF)0$$aStahlhut, C.$$b5
000022509 7001_ $$0P:(DE-HGF)0$$aPauls, K.A.$$b6
000022509 7001_ $$0P:(DE-HGF)0$$aTittgemeyer, M.$$b7
000022509 7001_ $$0P:(DE-HGF)0$$aSiebner, H.R.$$b8
000022509 7001_ $$0P:(DE-HGF)0$$aTimmermann, L.$$b9
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000022509 8567_ $$uhttp://dx.doi.org/10.1016/j.neuroimage.2011.11.042
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