Advancing image-based meta-analysis through systematic use of crowdsourced NeuroVault data

Abstract Image-based meta-analysis (IBMA) is a powerful method for synthesizing results from various fMRI studies. However, challenges related to data accessibility and the lack of available tools and methods have limited its widespread use. This study examined the current state of the NeuroVault re...

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Autors principals:	Julio A. Peraza, James D. Kent, Ross W. Blair, Jean-Baptiste Poline, Thomas E. Nichols, Alejandro de la Vega, Angela R. Laird
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-10-01
Col·lecció:	Scientific Reports
Matèries:	fMRI IBMA NeuroVault Meta-analysis Image-based meta-analysis
Accés en línia:	https://doi.org/10.1038/s41598-025-20328-8
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