fMRI research is highly prolific but raises multiple concerns. Many competing statistical methods and respective packages are available using different assumptions, none of which applies equally well to all settings. However, the most fundamental concerns are not about the statistical machinery, but about issues of reproducibility, utility, and even construct validity. One can probe how much the field would benefit by statistical refinements, the conduct of larger studies and/or improved reproducibility practices. Alternatively, maybe fMRI research should largely be abandoned with focus shifting toward developing imaging methods with construct validity for granular neuronal activity and higher potential for clinical utility.
Steven Yea, Goutham Narla, Xiao Zhao, Rakhi Garg, Sigal Tal–Kremer, Eldad A. Hod, Augusto Villanueva, Johnny Loke, Mirko Tarocchi, Kunihara Akita, Senji Shirasawa, Takehiko Sasazuki, John A. Martignetti, Josep M. Llovet, Scott L. Friedman
Sebastià Franch‐Expósito, Laia Bassaganyas, María Vila-Casadesús, Eva Hernández‐Illán, Roger Esteban-Fabró, Marcos Díaz‐Gay, Juan José Lozano, Antoni Castells, Josep M. Llovet, Sergi Castellví–Bel, Jordi Camps
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