Modelling neural correlates of working memory: a coordinate-based meta-analysis.
Claudia Rottschy,Robert Langner,Robert Langner,Imis Dogan,Kathrin Reetz,Kathrin Reetz,Angela R. Laird,Jörg B. Schulz,Peter T. Fox,Simon B. Eickhoff,Simon B. Eickhoff +10 more
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TLDR
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.About:
This article is published in NeuroImage.The article was published on 2012-03-01 and is currently open access. It has received 782 citations till now. The article focuses on the topics: Working memory & Spatial memory.read more
Citations
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Unity and diversity of executive functions: Individual differences as a window on cognitive structure.
Naomi P. Friedman,Akira Miyake +1 more
TL;DR: It is highlighted how considering individual differences at the behavioral and neural levels can add considerable insight to the investigation of the functional organization of the brain, and some key points about individual differences to consider when interpreting neuropsychological patterns of dissociation are highlighted.
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Sustaining attention to simple tasks: a meta-analytic review of the neural mechanisms of vigilant attention.
Robert Langner,Simon B. Eickhoff +1 more
TL;DR: A set of mainly right-lateralized brain regions that may form the core network subserving vigilant attention in humans, including dorsomedial, mid- and ventrolateral prefrontal cortex, anterior insula, parietal areas, and subcortical structures are identified.
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Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.
Simon B. Eickhoff,Thomas E. Nichols,Angela R. Laird,Felix Hoffstaedter,Katrin Amunts,Peter T. Fox,Danilo Bzdok,Claudia R. Eickhoff +7 more
TL;DR: This paper addressed two pressing questions related to ALE meta-analysis, and showed as a first consequence that cluster-level family-wise error (FWE) correction represents the most appropriate method for statistical inference, while voxel-level FWE correction is valid but more conservative.
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Ten simple rules for neuroimaging meta-analysis.
Veronika I. Müller,Edna C. Cieslik,Angela R. Laird,Peter T. Fox,Joaquim Radua,David Mataix-Cols,Christopher R. Tench,Tal Yarkoni,Thomas E. Nichols,Peter E. Turkeltaub,Tor D. Wager,Simon B. Eickhoff +11 more
TL;DR: Specific guidelines and a checklist are provided that will hopefully improve the transparency, traceability, replicability and reporting of meta‐analytical results of neuroimaging data.
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A quantitative meta-analysis and review of motor learning in the human brain.
Robert M. Hardwick,Claudia Rottschy,Claudia Rottschy,R. Chris Miall,Simon B. Eickhoff,Simon B. Eickhoff,Simon B. Eickhoff +6 more
TL;DR: A bilateral cortical–subcortical network consistently underlying motor learning across tasks is identified and the highly consistent activation of the left dorsal premotor cortex suggests it is a critical node in the motor learning network.
References
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Book ChapterDOI
Chapter 11 Working memory
TL;DR: This chapter demonstrates the functional importance of dopamine to working memory function in several ways and demonstrates that a network of brain regions, including the prefrontal cortex, is critical for the active maintenance of internal representations.
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Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.
Sue Duval,Richard L. Tweedie +1 more
TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
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The file drawer problem and tolerance for null results
TL;DR: Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
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The episodic buffer: a new component of working memory?
TL;DR: The revised model differs from the old principally in focussing attention on the processes of integrating information, rather than on the isolation of the subsystems, which provides a better basis for tackling the more complex aspects of executive control in working memory.