Park, A. H., Patel, H., Mirabelli, J., Eder, S. J., Steyrl, D., Lueger-Schuster, B., Scharnowski, F., O'Connor, C., Martin, P., Lanius, R. A., McKinnon, M. C., & Nicholson, A. (2023). Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles. Psychological Trauma. https://doi.org/10.1037/tra0001602

Lieberman, J. M., Rabellino, D., Densmore, M., Frewen, P. A., Steyrl, D., Scharnowski, F., Théberge, J., Hosseini-Kamkar, N., Neufeld, R. W. J., Jetly, R., Frey, B. N., Ros, T., Lanius, R. A., & Nicholson, A. A. (2023). A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study. Frontiers in Neuroscience, 17, [1229729]. https://doi.org/10.3389/fnins.2023.1229729

Pamplona, G. S. P., Heldner, J., Langner, R., Koush, Y., Michels, L., Ionta, S., Salmon, C. E. G., & Scharnowski, F. (2023). Preliminary findings on long-term effects of fMRI neurofeedback training on functional networks involved in sustained attention. Brain and Behavior, 13(10), [e3217]. https://doi.org/10.1002/brb3.3217

Spee, B. T. M., Mikuni, J., Leder, H., Scharnowski, F., Pelowski, M., & Steyrl, D. (2023). Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Scientific Reports, 13(1), [12966]. https://doi.org/10.1038/s41598-023-39865-1

Lieberman, J. M., Rabellino, D., Densmore, M., Frewen, P. A., Steyrl, D., Scharnowski, F., Théberge, J., Neufeld, R. W. J., Schmahl, C., Jetly, R., Narikuzhy, S., Lanius, R. A., & Nicholson, A. A. (2023). Posterior cingulate cortex targeted real-time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default-mode network in PTSD. Brain and Behavior, 13(3), [e2883]. https://doi.org/10.1002/brb3.2883

Langner, R., Scharnowski, F., Ionta, S., G Salmon, C. E., Piper, B. J., & Pamplona, G. S. P. (2023). Evaluation of the reliability and validity of computerized tests of attention. PLoS ONE, 18(1), [e0281196]. https://doi.org/10.1371/journal.pone.0281196

Lor, C. S., Zhang, M., Karner, A., Steyrl, D., Sladky, R., Scharnowski, F., & Haugg, A. (2023). Pre- and post-task resting-state differs in clinical populations. NeuroImage: Clinical, 37, [103345]. https://doi.org/10.1016/j.nicl.2023.103345

Lor, C. S., Haugg, A., Zhang, M., Schneider, L., Herdener, M., Quednow, B. B., Golestani, N., & Scharnowski, F. (2023). Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving. Addiction Biology, 28(1), [e13261]. https://doi.org/10.1111/adb.13261

Terry, J., Ross, R. M., Nagy, T., Salgado, M., Garrido-Vásquez, P., Sarfo, J. O., Cooper, S., Buttner, A. C., Lima, T. J. S., Öztürk, İ., Akay, N., Santos, F. H., Artemenko, C., Copping, L. T., Elsherif, M. M., Milovanović, I., Cribbie, R. A., Drushlyak, M. G., Swainston, K., ... Field, A. P. (2023). Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset). Journal of Open Psychology Data, 11(1), [8]. https://doi.org/10.5334/jopd.80

Watve, A., Haugg , A., Frei, N., Koush, Y., Willinger, D., Brühl, A. B., Stämpfli, P., Scharnowski, F., & Sladky, R. (2023). Facing emotions: real-time fMRI-based neurofeedback using dynamic emotional faces to modulate amygdala activity. Frontiers in Neuroscience, 17, [1286665]. https://doi.org/10.3389/fnins.2023.1286665

Giordano, V., Bibl, K., Felnhofer, A., Kothgassner, O., Steinbauer, P., Eibensteiner, F., Gröpel, P., Scharnowski, F., Wagner, M., Berger, A., Olischar, M., & Steyrl, D. (2022). Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis. Frontiers in Pediatrics , 10, [1000544]. https://doi.org/10.3389/fped.2022.1000544

Hellrung, L., Kirschner, M., Sulzer, J., Sladky, R., Scharnowski, F., Herdener, M., & Tobler, P. N. (2022). Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrain. Communications Biology, 5(1), [845]. https://doi.org/10.1038/s42003-022-03756-4

Scharnowski, F. (2022). Differential mechanisms of posterior cingulate cortex downregulation and symptom decreases in posttraumatic stress disorder and healthy individuals using real‐time fMRI neurofeedback. Brain and Behavior, 12(1), [e2441]. https://doi.org/10.1002/brb3.2441

Haugg, A., Manoliu, A., Sladky, R., Hulka, L. M., Kirschner, M., Brühl, A. B., Seifritz, E., Quednow, B. B., Herdener, M., & Scharnowski, F. (2022). Disentangling craving- and valence-related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology, 27(1), [e13083]. https://doi.org/10.1111/adb.13083

Krylova, M., Skouras, S., Razi, A., Nicholson, A. A., Karner, A., Steyrl, D., Boukrina, O., Rees, G., Scharnowski, F., & Koush, Y. (2021). Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks. Scientific Reports, 11(1), [23363]. https://doi.org/10.1038/s41598-021-02079-4

Eder, S. J., Stefanczyk, M. M., Pieniak, M., Martinez-Molina, J., Binter, J., Pesout, O., Smela, P., Scharnowski, F., & Steyrl, D. (2021). Dangers and Strangers: Pathogenic threat, fear, and perceived vulnerability do not predict ethnocentric orientations during the COVID-19 pandemic in Europe. Human Ethology, 36, 125-137. https://doi.org/10.22330/he/36/125-137

Aue, T., Hoeppli, M-E., Scharnowski, F., & Steyrl, D. (2021). Contributions of diagnostic, cognitive, and somatovisceral information to the prediction of fear ratings in spider phobic and non-spider-fearful individuals. Journal of Affective Disorders, 294, 296-304. https://doi.org/10.1016/j.jad.2021.07.040