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000018662 084__ $$2WoS$$aNeurosciences
000018662 084__ $$2WoS$$aNeuroimaging
000018662 084__ $$2WoS$$aRadiology, Nuclear Medicine & Medical Imaging
000018662 1001_ $$0P:(DE-HGF)0$$aRottschy, C.$$b0
000018662 245__ $$aModelling neural correlates of working memory: A coordinate-based meta analysis
000018662 260__ $$aOrlando, Fla.$$bAcademic Press$$c2012
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000018662 300__ $$a830 - 846
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000018662 440_0 $$04545$$aNeuroImage$$v60$$x1053-8119$$y1
000018662 500__ $$aThis work was partly funded by the Human Brain Project (R01-MH074457-01A1), the Helmholtz Alliance on Systems Biology (Human Brain Model), the DFG (IRTG 1328) and the medical faculty of the RWTH Aachen (Rotation Program).
000018662 520__ $$aWorking memory subsumes the capability to memorize, retrieve and utilize information for a limited period of time which is essential to many human behaviours. Moreover, impairments of working memory functions may be found in nearly all neurological and psychiatric diseases. To examine what brain regions are commonly and differently active during various working memory tasks, we performed a coordinate-based meta-analysis over 189 fMRI experiments on healthy subjects. The main effect yielded a widespread bilateral fronto-parietal network. Further meta-analyses revealed that several regions were sensitive to specific task components, e.g. Broca's region was selectively active during verbal tasks or ventral and dorsal premotor cortex were preferentially involved in memory for object identity and location, respectively. Moreover, the lateral prefrontal cortex showed a division in a rostral and a caudal part based on differential involvement in task set and load effects. Nevertheless, a consistent but more restricted "core" network emerged from conjunctions across analyses of specific task designs and contrasts. This "core" network appears to comprise the quintessence of regions, which are necessary during working memory tasks. It may be argued that the core regions form a distributed executive network with potentially generalized functions for focussing on competing representations in the brain. The present study demonstrates that meta-analyses are a powerful tool to integrate the data of functional imaging studies on a (broader) psychological construct, probing the consistency across various paradigms as well as the differential effects of different experimental implementations.
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000018662 65320 $$2Author$$aActivation likelihood estimation
000018662 65320 $$2Author$$aDLPFC
000018662 65320 $$2Author$$aManipulation
000018662 65320 $$2Author$$aMemory load
000018662 65320 $$2Author$$aShort-term memory
000018662 65320 $$2Author$$aStorage
000018662 650_2 $$2MeSH$$aBrain: physiology
000018662 650_2 $$2MeSH$$aHumans
000018662 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000018662 650_2 $$2MeSH$$aMemory, Short-Term: physiology
000018662 650_2 $$2MeSH$$aNerve Net: physiology
000018662 650_7 $$2WoSType$$aJ
000018662 7001_ $$0P:(DE-Juel1)131693$$aLangner, R.$$b1$$uFZJ
000018662 7001_ $$0P:(DE-HGF)0$$aDogan, I.$$b2
000018662 7001_ $$0P:(DE-HGF)0$$aReetz, K.$$b3
000018662 7001_ $$0P:(DE-HGF)0$$aLaird, A.R.$$b4
000018662 7001_ $$0P:(DE-HGF)0$$aSchulz, J.B.$$b5
000018662 7001_ $$0P:(DE-HGF)0$$aFox, P.T.$$b6
000018662 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, S.B.$$b7$$uFZJ
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