Mariela Mosheva, Virginie Pouillard, Yael Fishman, Lydia Dubourg, Dafna Sofrin-Frumer, Yaffa Serur, Abraham Weizman, Stephan Eliez, Doron Gothelf, Maude Schneider
Education and employment trajectories from childhood to adulthood in individuals with 22q11.2 deletion syndrome
European child & adolescent psychiatry
voxelbased multiple testing widely used neuroimaging data analysis traditional false discovery rate fdr control methods often ignore spatial dependence among voxelbased tests thus suffer substantial loss testing power recent spatial fdr control methods emerged validity optimality remain questionable handling complex spatial dependencies brain concurrently deep learning methods revolutionized image segmentation task closely related voxelbased multiple testing paper propose deepfdr novel spatial fdr control method leverages unsupervised deep learningbased image segmentation address voxelbased multiple testing problem numerical studies including comprehensive simulations alzheimers disease fdgpet image analysis demonstrate deepfdrs superiority existing methods deepfdr excels fdr control effectively diminishes false nondiscovery rate also boasts exceptional computational efficiency highly suited tackling largescale neuroimaging data