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Lack of Evidence for Predictive Utility from Resting State Fmri Data for Individual Exposure-Based Cognitive Behavioral Therapy Outcomes: A Machine Learning Study in Two Large Multi-Site Samples in Anxiety Disorders

Kevin Hilbert,Joscha Boehnlein,Charlotte Meinke,Alice Chavanne,Till Langhammer, Lara Stumpe,Nils Winter,Ramona Leenings,Dirk Adolph,Volker Arolt,Sophie Bischoff,Jan C. Cwik,Jurgen Deckert,Katharina Domschke,Thomas Fydrich,Bettina Gathmann,Alfons O. Hamm,Ingmar Heinig,Martin J. Herrmann,Maike Hollandt,Juergen Hoyer,Markus Junghoefer,Tilo Kircher,Katja Koelkebeck,Martin Lotze,Jurgen 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 Stroehle,Hans-Ulrich Wittchen,Adrian Wroblewski,Yunbo Yang,Kati Roesmann,Elisabeth J. Leehr,Udo Dannlowski,Ulrike Lueken

NeuroImage（2024）

Cited 2|Views41
Key words
Outcome prediction,Precision psychotherapy,Machine learning,Anxiety disorders,Cognitive behavioral therapy,Resting state
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