psychotherapy; autobiographical memory; mechanisms; cognitive behavior therapy; anxiety; sleep
Vetter Johannes Simon, Schultebraucks Katharina, Galatzer-Levy Isaac, Boeker Heinz, Brühl Annette, Seifritz Erich, Kleim Birgit (2022), Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach, in Scientific Reports
, 12(1), 5455-5455.
Homan Stephanie, Gabi Marion, Klee Nina, Bachmann Sandro, Moser Ann-Marie, Duri' Martina, Michel Sofia, Bertram Anna-Marie, Maatz Anke, Seiler Guido, Stark Elisabeth, Kleim Birgit (2022), Linguistic features of suicidal thoughts and behaviors: A systematic review, in Clinical Psychology Review
Doerig Nadja, Seinsche Rosa J., Moisa Marius, Seifritz Erich, Ruff Christian C., Kleim Birgit (2021), Enhancing reappraisal of negative emotional memories with transcranial direct current stimulation, in Scientific Reports
, 11(1), 14760-14760.
Paersch Christina, Schulz Ava, Wilhelm Frank H., Brown Adam D., Kleim Birgit (2021), Recalling autobiographical self-efficacy episodes boosts reappraisal-effects on negative emotional memories., in Emotion
Anxiety disorders, such as phobia, panic disorder or generalized anxiety disorder, are the most common class of mental disorders present in the general population. They are hugely disruptive, place psychological distress and role impairments on individuals and their families and create a serious economic burden for society. Psychological psychotherapies, such as cognitive behavior therapy (CBT), based on principles of basic cognitive and behavioral science and implemented via standardised treatment manuals, are amongst the most effective treatments for such disorders. These treatments are nevertheless only moderately successful in initiating and sustaining individual change in anxiety. The present program of research aims to improve outcomes in CBT for anxiety. To achieve this objective, a multi-method research program is proposed combining a large-scale clinical study with experimental laboratory paradigms. First, we will in a randomised controlled clinical trial examine genetic, endocrine, demographic and clinical predictors of response to CBT for anxiety. Using cutting-edge machine learning analysis methods will enable classification of subtypes of individual treatment responses based on these multiple predictors. Second, drawing from basic neuroscience science findings, we will in the laboratory examine the potential of (i) brain stimulation and (ii) memory reactivation during sleep to enhance learning during CBT. The projected findings will lead to important theoretical and clinical innovations in forecasting treatment outcome and break the ground for improving current psychotherapy for anxiety disorders that forms an ever-growing burden for society.