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Ten simple rules for neuroimaging meta-analysis. [Review]

by Turkeltaub, Peter E.
Citation: Neuroscience & Biobehavioral Reviews. 84:151-161, 2017 Nov 24.Journal: Neuroscience and biobehavioral reviews.Published: 2017ISSN: 0149-7634.Full author list: Muller VI; Cieslik EC; Laird AR; Fox PT; Radua J; Mataix-Cols D; Tench CR; Yarkoni T; Nichols TE; Turkeltaub PE; Wager TD; Eickhoff SB.UI/PMID: 29180258.Subject(s): IN PROCESS -- NOT YET INDEXEDInstitution(s): MedStar National Rehabilitation NetworkActivity type: Journal Article.Medline article type(s): Journal Article | ReviewOnline resources: Click here to access online Digital Object Identifier: https://dx.doi.org/10.1016/j.neubiorev.2017.11.012 (Click here) Abbreviated citation: Neurosci Biobehav Rev. 84:151-161, 2017 Nov 24.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.Abstract: Copyright (c) 2017. Published by Elsevier Ltd.

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