Journal Article

FZJ-2017-07931

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Ten simple rules for neuroimaging meta-analysis

Müller, V. (Corresponding author)FZJ* ; Cieslik, E. (Corresponding author)FZJ* ; Laird, A. R. ; Fox, P. T. ; Radua, J. ; Mataix-Cols, D. ; Tench, C. R. ; Yarkoni, T. ; Nichols, T. E. ; Turkeltaub, P. E. ; Wager, T. D. ; Eickhoff, S.FZJ*

2017
Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/16679  doi:10.1016/j.neubiorev.2017.11.012

Abstract: Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders, yielding a literature of more than 30,000 papers. With such an explosion of data, it is increasingly difficult to sift through the literature and distinguish spurious from replicable findings. Furthermore, due to the large number of studies, it is challenging to keep track of the wealth of findings. A variety of meta-analytical methods (coordinate-based and image-based) have been developed to help summarise and integrate the vast amount of data arising from neuroimaging studies. However, the field lacks specific guidelines for the conduct of such meta-analyses. Based on our combined experience, we propose best-practice recommendations that researchers from multiple disciplines may find helpful. In addition, we provide specific guidelines and a checklist that will hopefully improve the transparency, traceability, replicability and reporting of meta-analytical results of neuroimaging data.

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)

Appears in the scientific report 2017

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Database coverage:
; ; ; BIOSIS Previews ; BIOSIS Reviews Reports And Meetings ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; 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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