Kevin Hilbert, Joscha Böhnlein, Charlotte Meinke, Alice V Chavanne, Till Langhammer, Lara Stumpe, Nils Winter, Ramona Leenings, Dirk Adolph, Volker Arolt, Sophie Bischoff, Jan C Cwik, Jürgen Deckert, Katharina Domschke, Thomas Fydrich, Bettina Gathmann, Alfons O Hamm, Ingmar Heinig, Martin J Herrmann, Maike Hollandt, Jürgen Hoyer, Markus Junghöfer, Tilo Kircher, Katja Koelkebeck, Martin Lotze, Jürgen Margraf, Jennifer L M Mumm, Peter Neudeck, Paul Pauli, Andre Pittig, Jens Plag, Jan Richter, Isabelle C Ridderbusch, Winfried Rief, Silvia Schneider, Hanna Schwarzmeier, Fabian R Seeger, Niklas Siminski, Benjamin Straube, Thomas Straube, Andreas Ströhle, Hans-Ulrich Wittchen, Adrian Wroblewski, Yunbo Yang, Kati Roesmann, Elisabeth J Leehr, Udo Dannlowski, Ulrike Lueken
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders and non-responders of a given treatment) when using clinical routine data such as demographic and questionnaire data, while neuroimaging data achieved superior prediction accuracy. However, these studies may be considerably biased due to very limited sample sizes and bias-prone methodology...
May 25, 2024: NeuroImage