Journal Article

PreJuSER-18662

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Modelling neural correlates of working memory: A coordinate-based meta analysis

Rottschy, C. ; Langner, R.FZJ* ; Dogan, I. ; Reetz, K. ; Laird, A. R. ; Schulz, J. B. ; Fox, P. T. ; Eickhoff, S. B.FZJ*

2012
Academic Press Orlando, Fla.

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Please use a persistent id in citations: doi:10.1016/j.neuroimage.2011.11.050

Abstract: Working 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.

Keyword(s): Brain: physiology (MeSH) ; Humans (MeSH) ; Magnetic Resonance Imaging (MeSH) ; Memory, Short-Term: physiology (MeSH) ; Nerve Net: physiology (MeSH) ; J ; Activation likelihood estimation (auto) ; DLPFC (auto) ; Manipulation (auto) ; Memory load (auto) ; Short-term memory (auto) ; Storage (auto)

Note: This 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).

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Contributing Institute(s):

1. Molekulare Organisation des Gehirns (INM-2)
2. Physik der Medizinischen Bildgebung (INM-4)
3. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. Funktion und Dysfunktion des Nervensystems (FUEK409) (FUEK409)
2. 89574 - Theory, modelling and simulation (POF2-89574) (POF2-89574)

Appears in the scientific report 2012

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Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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