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

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Citation: Neuroscience & Biobehavioral Reviews. 84:151-161, 2017 Nov 24PMID: 29180258Institution: MedStar National Rehabilitation NetworkForm of publication: Journal ArticleMedline article type(s): Journal Article | ReviewSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2017 ISSN:

0149-7634

Name of journal: Neuroscience and biobehavioral reviewsAbstract: Copyright (c) 2017. Published by Elsevier Ltd.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.All authors: Cieslik EC, Eickhoff SB, Fox PT, Laird AR, Mataix-Cols D, Muller VI, Nichols TE, Radua J, Tench CR, Turkeltaub PE, Wager TD, Yarkoni TFiscal year: FY2018Digital Object Identifier:

https://dx.doi.org/10.1016/j.neubiorev.2017.11.012

Date added to catalog: 2017-12-12

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	29180258	Available		29180258

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.

English