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000057450 0247_ $$2DOI$$a10.1016/j.jphysparis.2006.03.017
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000057450 041__ $$aeng
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000057450 084__ $$2WoS$$aNeurosciences
000057450 084__ $$2WoS$$aPhysiology
000057450 1001_ $$0P:(DE-HGF)0$$aKrause, B. J.$$b0
000057450 245__ $$aLearning related interactions among neuronal systems involved in memory processes
000057450 260__ $$a[S.l.]$$bWiley-Blackwell$$c2006
000057450 300__ $$a
000057450 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000057450 440_0 $$06411$$aThe Journal of Physiology$$v99$$x0022-3751$$y4
000057450 500__ $$aRecord converted from VDB: 12.11.2012
000057450 520__ $$aFunctional neuroimaging techniques using positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) have provided new insights in our understanding of brain function from the molecular to the systems level. While subtraction strategy based data analyses have revealed the involvement of distributed brain regions in memory processes, covariance analysis based data analysis strategies allow functional interactions between brain regions of a neuronal network to be assessed. The focus of this chapter is to (1) establish the functional topography of episodic and working memory processes in young and old normal volunteers, (2) to assess functional interactions between modules of networks of brain regions by means of covariance based analyses and systems level modelling and (3) to relate neuroimaging data to the underpinning neural networks. Male normal young and old volunteers without neurological or psychiatric illness participated in neuroimaging studies (PET, fMRI) on working and episodic memory. Distributed brain areas are involved in memory processes (episodic and working memory) in young volunteers and show much of an overlap with respect to the network components. Systems level modelling analyses support the hypothesis of bihemispheric, asymmetric networks subserving memory processes and revealed both similarities in general and differences in the interactions between brain regions during episodic encoding and retrieval as well as working memory. Changes in memory function with ageing are evident from studies in old volunteers activating more brain regions compared to young volunteers and revealing more and stronger influences of prefrontal regions. We finally discuss the way in which the systems level models based on PET and fMRI results have implications for the understanding of the underlying neural network functioning of the brain.
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000057450 588__ $$aDataset connected to Web of Science, Pubmed
000057450 650_2 $$2MeSH$$aAnimals
000057450 650_2 $$2MeSH$$aHumans
000057450 650_2 $$2MeSH$$aLearning: physiology
000057450 650_2 $$2MeSH$$aMemory: physiology
000057450 650_2 $$2MeSH$$aMemory, Short-Term: physiology
000057450 650_2 $$2MeSH$$aNervous System Physiological Phenomena
000057450 650_7 $$2WoSType$$aJ
000057450 65320 $$2Author$$aPET
000057450 65320 $$2Author$$afMRI
000057450 65320 $$2Author$$aworking memory
000057450 65320 $$2Author$$aepisodic memory
000057450 65320 $$2Author$$aconnectivity
000057450 7001_ $$0P:(DE-Juel1)VDB571$$aHautzel, H.$$b1$$uFZJ
000057450 7001_ $$0P:(DE-HGF)0$$aSchmidt, D.$$b2
000057450 7001_ $$0P:(DE-Juel1)VDB59398$$aFlüss, M. O.$$b3$$uFZJ
000057450 7001_ $$0P:(DE-Juel1)VDB22367$$aPoeppel, T. D.$$b4$$uFZJ
000057450 7001_ $$0P:(DE-HGF)0$$aMüller, H.-W.$$b5
000057450 7001_ $$0P:(DE-HGF)0$$aHalsband, U.$$b6
000057450 7001_ $$0P:(DE-HGF)0$$aMottaghy, F. M.$$b7
000057450 773__ $$0PERI:(DE-600)1475290-6$$a10.1016/j.jphysparis.2006.03.017$$gVol. 99$$q99$$tThe @journal of physiology$$v99$$x0022-3751$$y2006
000057450 8567_ $$uhttp://dx.doi.org/10.1016/j.jphysparis.2006.03.017
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000057450 9141_ $$aNachtrag$$y2006
000057450 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer review
000057450 9201_ $$0I:(DE-Juel1)VDB145$$gKME$$kKME$$lKlinisch-Medizinische Einrichtungen (Univ. Düsseldorf)$$x1
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