Department of Engineering Science, University of Oxford, Oxford OX1 4AR, United Kingdom; Corresponding author.
Hengyi Cao
Department of Psychology, Yale University, New Haven 06510, CT, United States; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Hempstead 11030, NY, United States; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks 11004, NY, United States
Huy Phan
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, United Kingdom
Guy Nagels
Department of Neurology, Universitair Ziekenhuis Brussel, 1090 Jette, Belgium
Jenna M. Reinen
IBM Watson Research Center, Yorktown Heights, NY 10598, United States
Jiangtao Gou
Department of Mathematics and Statistics, Villanova University, PA 19085, United States
Tianchen Qian
Department of Statistics, Harvard University, Cambridge 02138, MA, United States; Department of Statistics, University of California Irvine, Irvine 92697, CA, United States
Junrui Di
Department of Biostatistics, Johns Hopkins University, Baltimore 21205, MD, United States
John Prince
Department of Engineering Science, University of Oxford, Oxford OX1 4AR, United Kingdom
Tyrone D. Cannon
Department of Psychology, Yale University, New Haven 06510, CT, United States; Department of Psychiatry, Yale University, New Haven 06510, CT, United States
Maarten de Vos
Faculty of Engineering Science, KU Leuven, Leuven 3001, Belgium; Faculty of Medicine, KU Leuven, Leuven 3001, Belgium; KU Leuven Institute for Artificial Intelligence, Leuven B-3000, Belgium
Along the pathway from behavioral symptoms to the development of psychotic disorders sits the multivariate mediating brain. The functional organization and structural topography of large-scale multivariate neural mediators among patients with brain disorders, however, are not well understood. Here, we design a high-dimensional brain-wide functional mediation framework to investigate brain regions that intermediate between baseline behavioral symptoms and future conversion to full psychosis among individuals at clinical high risk (CHR). Using resting-state functional magnetic resonance imaging (fMRI) data from 263 CHR subjects, we extract an α brain atlas and a β brain atlas: the former underlines brain areas associated with prodromal symptoms and the latter highlights brain areas associated with disease onset. In parallel, we identify and separate mediators that potentially positively and negatively mediate symptoms and psychosis, respectively, and quantify the effect of each neural mediator on disease development. Taken together, these results paint a brain-wide picture of neural markers that are potentially mediating behavioral symptoms and the development of psychotic disorders; additionally, they underscore a statistical framework that is useful to uncover large-scale intermediating variables in a regulatory biological system.