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

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

Thanhaeuser, M., Steyrl, D., Fuiko, R., Brandstaetter, S., Binder, C., Thajer, A., Huber-Dangl, M., Haiden, N., Berger, A., & Repa, A. (2023). A secondary outcome analysis of a randomized trial using a mixed lipid emulsion containing fish oil in infants with extremely low birth weight: Cognitive and behavioral outcome at preschool age. The Journal of pediatrics, 254, 68-74.e3. https://doi.org/10.1016/j.jpeds.2022.10.014

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

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

Giordano, V., Luister, A., Reuter, C., Czedik-Eysenberg, I., Singer, D., Steyrl, D., Vettorazzi, E., & Deindl, P. (2022). Audio Feature Analysis for Acoustic Pain Detection in Term Newborns. Neonatology, 119(6), 760-768. https://doi.org/10.1159/000526209

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

Thanhaeuser, M., Steyrl, D., Fuiko, R., Brandstaetter, S., Binder, C., Thajer, A., Huber-Dangl, M., Haiden, N., Berger, A., & Repa, A. (2022). Neurodevelopmental Outcome of Extremely Low Birth Weight Infants with Cholestasis at 12 and 24 Months. Neonatology, 119, 501-509. https://doi.org/10.1159/000525003

Mueller-Putz, G. R., Coyle, D., Lotte, F., Jin, J., & Steyrl, D. (2022). Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition. Frontiers in Human Neuroscience, 16, [869700]. https://doi.org/10.3389/fnhum.2022.869700

Lukacs, G., & Steyrl, D. (2022). Machine Learning Mega-Analysis Applied to the Response Time Concealed Information Test: No Evidence for Advantage of Model-Based Predictors Over Baseline. Collabra: Psychology, 8(1), [32661]. https://doi.org/10.1525/collabra.32661

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

Haugg , A., Renz, FM., Nicholson, AA., Lor, C., Götzendorfer, SJ., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Hellrung, L., Kirschner, M., Herdener, M., Koush, Y., Papoutsi, M., Keynan, J. N., Hendler, T., Cohen Kadosh, K., Zich, C., Kohl, S., ... Steyrl, D. (2021). Predictors of Real-Time fMRI Neurofeedback Performance and Improvement - a Machine Learning Mega-Analysis. NeuroImage, 237, [118207]. https://doi.org/10.1016/j.neuroimage.2021.118207