All genres
2025
Journal Article
8 (1), 65 (2025)
Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. npj digital medicine 2024
Journal Article
354, pp. 473 - 482 (2024)
Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity. Journal of Affective Disorders 2023
Journal Article
158, 105450 (2023)
The human affectome. Neuroscience and Biobehavioral Reviews 2022
Journal Article
16, 809269 (2022)
The attention-emotion interaction in healthy female participants on oral contraceptives during 1-week escitalopram intake. Frontiers in Neuroscience
Journal Article
13, 819143 (2022)
How social experiences affect interpretation bias among individuals with non-clinical depression: The role of ostracism. Frontiers in Psychiatry 2021
Journal Article
11 (10), 957 (2021)
Machine learning-based behavioral diagnostic tools for depression: Advances, challenges, and future directions. Journal of Personalized Medicine
Journal Article
141, pp. 199 - 205 (2021)
Machine learning-based diagnosis support system for differentiating between clinical anxiety and depression disorders. Journal of Psychiatric Research 2020
Journal Article
10 (1), 16381 (2020)
Using machine learning-based analysis for behavioral differentiation between anxiety and depression. Scientific Reports
Journal Article
108, pp. 559 - 601 (2020)
Neural correlates of emotion-attention interactions: From perception, learning and memory to individual differences and training interventions. Neuroscience and Biobehavioral Reviews 2020
Book Chapter
Attention toward negative stimuli. In: Cognitive biases in health and psychiatric disorders, pp. 19 - 40 (Eds. Aue, T.; Okon-Singer, H.). Academic Press, London (2020)
2019
Book Chapter
The neurobiology of emotion-cognition interactions. In: Cognitive dimensions of major depressive disorder: Cognitive, emotional and social cognitive processes, pp. 171 - C14.P84 (Eds. Baune, B. T.; Harmer, C.). Oxford University Press (2019)
2025
Talk
Personalized cognitive framework for diagnosis and intervention in anxiety and depression. Early Career Keynote at the 2025 ACBM (Association for Cognitive Bias Modification) Conference, Munich, Germany (2025)
Talk
Personalized mechanism-based framework for depression and anxiety disorders. European Association for Behavioral and Cognitive Therapies conference (EABCT), Glasgow, United Kingdom (2025)
Talk
Personalized cognition-based machine-learning prediction of anxiety and depression. German Psychotherapy Congress (DPK), Berlin, Germany (2025)
Talk
The dynamics of pain and depression in war conditions. Congress of the European Pain Federation (EFIC), Lyon, France (2025)