Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: Machine learning results from the German National Cohort (NAKO) study

Julian Gutzeit(University of Würzburg), Angelika Ehrardt-Lehmann, Margarethe Woeckel, Sebastian Walther(University of Bern), Patricia Bohmann, Kerstin Wirkner(Leipzig University), Berit Brandes(Leibniz Institute for Prevention Research and Epidemiology - BIPS), Fabian Bamberg(Ludwig-Maximilians-Universität München), Michael F. Leitzmann(University of Regensburg), Hans J. Grabe(Universitätsmedizin Greifswald), Yanding Wang(Peking University), Stefanie Castell(Helmholtz Centre for Infection Research), Jürgen Deckert(University of Würzburg), Christoph M. Friedrich(Fraunhofer Institute for Algorithms and Scientific Computing), Till Bärnighausen(Harvard University), Thomas Keil(University of Würzburg), Svenja Caspers(Jülich Aachen Research Alliance), Thoralf Niendorf(Max Delbrück Center), Rafael Mikolajczyk(Luther University), Johanna Klinger-König(Universitätsmedizin Greifswald), Christiane Jockwitz(Forschungszentrum Jülich), Lilian Krist(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Fabian Streit(Central Institute of Mental Health), Marvin N. Wright(Hochschule Bremen), Christopher L. Schlett(Massachusetts General Hospital), Martin Weiß(University of Würzburg), Jochen Hirsch(Fraunhofer Institute for Digital Medicine), Matthias Günther(Universität Hamburg), Phlinie Betker, Tobias Pischon(Max Delbrück Center), Grit Hein
Research Square
September 15, 2025
Cited by 0


Related Papers