Mark Sen Dong, Jaroslav Rokicki, Dominic Dwyer, Sergi Papiol, Fabian Streit, Marcella Rietschel, Thomas Wobrock, Bertram Müller-Myhsok, Peter Falkai, Lars Tjelta Westlye, Ole A Andreassen, Lena Palaniyappan, Thomas Schneider-Axmann, Alkomiet Hasan, Emanuel Schwarz, Nikolaos Koutsouleris
The response variability to repetitive transcranial magnetic stimulation (rTMS) challenges the effective use of this treatment option in patients with schizophrenia. This variability may be deciphered by leveraging predictive information in structural MRI, clinical, sociodemographic, and genetic data using artificial intelligence. We developed and cross-validated rTMS response prediction models in patients with schizophrenia drawn from the multisite RESIS trial. The models incorporated pre-treatment sMRI, clinical, sociodemographic, and polygenic risk score (PRS) data...
April 25, 2024: Translational Psychiatry