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000840398 1001_ $$0P:(DE-Juel1)131699$$aMüller, Veronika$$b0$$eCorresponding author
000840398 245__ $$aTen simple rules for neuroimaging meta-analysis
000840398 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2017
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000840398 520__ $$aNeuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders, yielding a literature of more than 30,000 papers. With such an explosion of data, it is increasingly difficult to sift through the literature and distinguish spurious from replicable findings. Furthermore, due to the large number of studies, it is challenging to keep track of the wealth of findings. A variety of meta-analytical methods (coordinate-based and image-based) have been developed to help summarise and integrate the vast amount of data arising from neuroimaging studies. However, the field lacks specific guidelines for the conduct of such meta-analyses. Based on our combined experience, we propose best-practice recommendations that researchers from multiple disciplines may find helpful. In addition, we provide specific guidelines and a checklist that will hopefully improve the transparency, traceability, replicability and reporting of meta-analytical results of neuroimaging data.
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000840398 7001_ $$0P:(DE-Juel1)131855$$aCieslik, Edna$$b1$$eCorresponding author
000840398 7001_ $$0P:(DE-HGF)0$$aLaird, Angela R$$b2
000840398 7001_ $$0P:(DE-HGF)0$$aFox, Peter T$$b3
000840398 7001_ $$0P:(DE-HGF)0$$aRadua, Joaquim$$b4
000840398 7001_ $$0P:(DE-HGF)0$$aMataix-Cols, David$$b5
000840398 7001_ $$0P:(DE-HGF)0$$aTench, Christopher R$$b6
000840398 7001_ $$0P:(DE-HGF)0$$aYarkoni, Tal$$b7
000840398 7001_ $$0P:(DE-HGF)0$$aNichols, Thomas E$$b8
000840398 7001_ $$0P:(DE-HGF)0$$aTurkeltaub, Peter E$$b9
000840398 7001_ $$0P:(DE-HGF)0$$aWager, Tor D$$b10
000840398 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b11
000840398 773__ $$0PERI:(DE-600)1498433-7$$a10.1016/j.neubiorev.2017.11.012$$gp. S0149763417303111$$p151–161$$tNeuroscience & biobehavioral reviews$$v84$$x0149-7634$$y2017
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