Publikationen von Thalia Richter

Richter, T.; Shani, R.; Tal, S.; Derakshan, N.; Cohen, N.; Enock, P. M.; McNally, R. J.; Mor, N.; Daches, S.; Williams, A. D. et al.; Yiend, J.; Carlbring, P.; Kuckertz, J. M.; Yang, W.; Reinecke, A.; Beevers, C. G.; Bunnell, B. E.; Koster, E. H. W.; Zilcha-Mano, S.; Okon-Singer, H.: Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. npj digital medicine 8 (1), 65 (2025)

Richter, T.; Stahi, S.; Mirovsky, G.; Hel-Or, H.; Okon-Singer, H.: Disorder-specific versus transdiagnostic cognitive mechanisms in anxiety and depression: Machine-learning-based prediction of symptom severity. Journal of Affective Disorders 354, S. 473 - 482 (2024)

Schiller, D.; Yu, A. N.C.; Alia-Klein, N.; Becker, S.; Cromwell, H. C.; Dolcos, F.; Eslinger, P. J.; Frewen, P.; Kemp, A. H.; Pace-Schott, E. F. et al.; Raber, J.; Silton, R. L.; Stefanova, E.; Williams, J. H.G.; Abe, N.; Aghajani, M.; Albrecht, F.; Alexander, R.; Anders, S.; Aragón, O. R.; Arias, J. A.; Arzy, S.; Aue, T.; Baez, S.; Balconi, M.; Ballarini, T.; Bannister, S.; Banta, M. C.; Barrett, K. C.; Belzung, C.; Bensafi, M.; Booij, L.; Bookwala, J.; Boulanger-Bertolus, J.; Boutros, S. W.; Bräscher, A.-K.; Bruno, A.; Busatto, G.; Bylsma, L. M.; Caldwell-Harris, C.; Chan, R. C.K.; Cherbuin, N.; Chiarella, J.; Cipresso, P.; Critchley, H.; Croote, D. E.; Demaree, H. A.; Denson, T. F.; Depue, B.; Derntl, B.; Dickson, J. M.; Dolcos, S.; Drach-Zahavy, A.; Dubljević, O.; Eerola, T.; Ellingsen, D.-M.; Fairfield, B.; Ferdenzi, C.; Friedman, B. H.; Fu, C. H.Y.; Gatt, J. M.; deGelder, B.; Gendolla, G. H.E.; Gilam, G.; Goldblatt, H.; Gooding, A. E. K.; Gosseries, O.; Hamm, A. O.; Hanson, J. L.; Hendler, T.; Herbert, C.; Hofmann, S. G.; Ibanez, A.; Joffily, M.; Jovanovic, T.; Kahrilas, I. J.; Kangas, M.; Katsumi, Y.; Kensinger, E.; Kirby, L. A.J.; Koncz, R.; Koster, E. H.W.; Kozlowska, K.; Krach, S.; Kret, M. E.; Krippl, M.; Kusi-Mensah, K.; Ladouceur, C. D.; Laureys, S.; Lawrence, A.; Li, C.-s. R.; Liddell, B. J.; Lidhar, N. K.; Lowry, C. A.; Magee, K.; Marin, M.-F.; Mariotti, V.; Martin, L. J.; Marusak, H. A.; Mayer, A. V.; Merner, A. R.; Minnier, J.; Moll, J.; Morrison, R. G.; Moore, M.; Mouly, A.-M.; Mueller, S. C.; Mühlberger, A.; Murphy, N. A.; Muscatello, M. R. A.; Musser, E. D.; Newton, T. L.; Noll-Hussong, M.; Norrholm, S. D.; Northoff, G.; Nusslock, R.; Okon-Singer, H.; Olino, T. M.; Ortner, C.; Owolabi, M.; Padulo, C.; Palermo, R.; Palumbo, R.; Palumbo, S.; Papadelis, C.; Pegna, A. J.; Pellegrini, S.; Peltonen, K.; Penninx, B. W.J.H.; Pietrini, P.; Pinna, G.; Lobo, R. P.; Polnaszek, K. L.; Polyakova, M.; Rabinak, C.; HeleneRichter, S.; Richter, T.; Riva, G.; Rizzo, A.; Robinson, J. L.; Rosa, P.; Sachdev, P. S.; Sato, W.; Schroeter, M. L.; Schweizer, S.; Shiban, Y.; Siddharthan, A.; Siedlecka, E.; Smith, R. C.; Soreq, H.; Spangler, D. P.; Stern, E. R.; Styliadis, C.; Sullivan, G. B.; Swain, J. E.; Urben, S.; Van den Stock, J.; vander Kooij, M. A.; van Overveld, M.; Van Rheenen, T. E.; VanElzakker, M. B.; Ventura-Bort, C.; Verona, E.; Volk, T.; Wang, Y.; Weingast, L. T.; Weymar, M.; Williams, C.; Willis, M. L.; Yamashita, P.; Zahn, R.; Zupan, B.; Lowe, L.; Gabriela, G.; Charlotte F, H.; Leonie, L.: The human affectome. Neuroscience and Biobehavioral Reviews 158, 105450 (2023)

Beinhölzl, N.; Molloy, E.; Zsido, R.; Richter, T.; Piecha, F. A.; Zheleva, G.; Scharrer, U.; Regenthal, R.; Villringer, A.; Okon-Singer, H. et al.; Sacher, J.: The attention-emotion interaction in healthy female participants on oral contraceptives during 1-week escitalopram intake. Frontiers in Neuroscience 16, 809269 (2022)

Bar-Sella, A.; Richter, T.; Zilcha-Mano, S.; Okon-Singer, H.: How social experiences affect interpretation bias among individuals with non-clinical depression: The role of ostracism. Frontiers in Psychiatry 13, 819143 (2022)

Richter, T.; Fishbain, B.; Richter-Levin, G.; Okon-Singer, H.: Machine learning-based behavioral diagnostic tools for depression: Advances, challenges, and future directions. Journal of Personalized Medicine 11 (10), 957 (2021)

Richter, T.; Fishbain, B.; Fruchter, E.; Richter-Levin, G.; Okon-Singer, H.: Machine learning-based diagnosis support system for differentiating between clinical anxiety and depression disorders. Journal of Psychiatric Research 141, S. 199 - 205 (2021)

Richter, T.; Fishbain, B.; Markus, A.; Richter-Levin, G.; Okon-Singer, H.: Using machine learning-based analysis for behavioral differentiation between anxiety and depression. Scientific Reports 10 (1), 16381 (2020)

Dolcos, F.; Katsumi, Y.; Moore, M.; Berggren, N.; de Gelder, B.; Derakshan, N.; Hamm, A.; Koster, E.; Ladouceur, C.; Okon-Singer, H. et al.; Pegna, A.; Richter, T.; Schweizer, S.; Van den Stock, J.; Ventura-Bort, C.; Weymar, M.; Dolcos , S.: Neural correlates of emotion-attention interactions: From perception, learning and memory to individual differences and training interventions. Neuroscience and Biobehavioral Reviews 108, S. 559 - 601 (2020)

Abado, E.; Richter, T.; Okon-Singer, H.: Attention toward negative stimuli. In: Cognitive biases in health and psychiatric disorders, S. 19 - 40 (Hg. Aue, T.; Okon-Singer, H.). Academic Press, London (2020)

Richter, T.; Shackman, A.; Aue, T.; Okon-Singer, H.: The neurobiology of emotion-cognition interactions. In: Cognitive dimensions of major depressive disorder: Cognitive, emotional and social cognitive processes, S. 171 - C14.P84 (Hg. Baune, B. T.; Harmer, C.). Oxford University Press (2019)