Pointner, N., Savran, D., Mader, J., Steinbauer, P., Berger, A., Fuiko, R., Steyrl, D., & Giordano, V. (2026). Prediction of Language Development in Neonates Born at Less than 32 Weeks of Gestation. The Journal of pediatrics, 290, Artikel 114959. https://doi.org/10.1016/j.jpeds.2025.114959

Lieberman, J. M., Lanius, R. A., Théberge, J., Frey, B. N., Frewen, P. A., Scharnowski, F., Steyrl, D., Ros, T., Densmore, M., Tassinari, E., Matic, V., Hosseini-Kamkar, N., Narikuzhy, S., Hosseiny, F., Jetly, R., & Nicholson, A. A. (2025). Study protocol for a multi-session randomized sham-controlled trial of PCC- and amygdala-targeted neurofeedback for the treatment of PTSD. BMC Psychiatry, 25(1), Artikel 698. https://doi.org/10.1186/s12888-025-07050-5

Zeggio, S., Steyrl, D., Pelowski, M., Krack, P., Darweesh, S. K. L., Crone, J. S., Bloem, B. R., Meinders, M. J., & Spee, B. T. M. (2025). Neuropsychological insights into creativity in people with Parkinson's disease. npj Parkinson's Disease, 11(1), Artikel 324. https://doi.org/10.1038/s41531-025-01165-y

Buchanan, E. M., Cuccolo, K., Heyman, T., van Berkel, N., Coles, N. A., Iyer, A., Peters, K., van ’t Veer, A. E., Montefinese, M., Maxwell, N. P., Taylor, J. E., Valentine, K. D., Arriaga, P., Barzykowski, K., Boucher, L., Collins, W. M., Vaidis, D. C., Aczel, B., Al-Hoorie, A. H., ... Lewis, S. C. (2025). Measuring the semantic priming effect across many languages. Nature Human Behaviour, 10(1), 182-201. https://doi.org/10.1038/s41562-025-02254-x

Kostorz, K., Nguyen, T., Pan, Y., Melinscak, F., Steyrl, D., Hu, Y., Sorger, B., Hoehl, S., & Scharnowski, F. (2025). Investigating short windows of interbrain synchrony: A step toward fNIRS-based hyperfeedback. Imaging Neuroscience, 3, Artikel IMAG.a.43. https://doi.org/10.1162/IMAG.a.43

Geidel, B., Siegel, M., Steyrl, D., Goldberg, A. E., Bodenmann, G., & Zemp, M. (2025). Study Protocol for the Rainbow Austrian Longitudinal Family (RALF) study: A longitudinal, multi-method, multi-rater investigation of risk and resilience factors in Austrian LGBTQ+ parent families. BMC Psychology, 13. https://doi.org/10.31219/osf.io/p6zhj_v1, https://doi.org/10.1186/s40359-025-02828-4

Lor, C. S., Steyrl, D., Karner, A., Götzendorfer, S. J., Klimesch, A., Eder, S. J., Renz, F. M., Rother, J., Scharnowski, F., & Melinscak, F. (2025). SpiderPhy dataset: A multimodal dataset of Physiological, Psychometric and Behavioral Responses to fear stimuli. Scientific Data, 12(1), Artikel 599. https://doi.org/10.1038/s41597-025-04908-x

Zhang, M., Karner, A., Kostorz, K., Shea, S., Steyrl, D., Melinscak, F., Sladky, R., Lor, C. S., & Scharnowski, F. (2025). SpiDa-MRI behavioral and (f)MRI data of adults with fear of spiders. Scientific Data, 12(1), Artikel 284. https://doi.org/10.1038/s41597-025-04569-w

Nicholson, A. A., Lieberman, J. M., Hosseini-Kamkar, N., Eckstrand, K., Rabellino, D., Kearney, B., Steyrl, D., Narikuzhy, S., Densmore, M., Théberge, J., Hosseiny, F., & Lanius, R. A. (2025). Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 136, Artikel 111180. https://doi.org/10.1016/j.pnpbp.2024.111180

Todorova, B., Steyrl, D., Hornsey, M. J., Pearson, S., Brick, C., Lange, F., Van Bavel, J. J., Vlasceanu, M., Lamm, C., & Doell, K. C. (2025). Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors. npj climate action, 4(1), 46. https://doi.org/10.1038/s44168-025-00251-4

Siegel, M., Steyrl, D., Goldberg, A. E., Nicholson, A., & Zemp, M. (2025). Minority stress and structural stigma predict well-being in European LGBTQ+ parents. Journal of Marriage and Family, 87(3), 1009-1037. https://doi.org/10.1111/jomf.13071

Chiappini, E., Massaccesi, C., Korb, S., Steyrl, D., Willeit, M., & Silani, G. (2024). Neural Hyperresponsivity During the Anticipation of Tangible Social and Nonsocial Rewards in Autism Spectrum Disorder: A Concurrent Neuroimaging and Facial Electromyography Study. Biological psychiatry. Cognitive neuroscience and neuroimaging, 9(9), 948-957. https://doi.org/10.1016/j.bpsc.2024.04.006

Spee, B. T. M., Leder, H., Mikuni, J., Scharnowski, F., Pelowski, M., & Steyrl, D. (2024). Using Machine Learning to Predict Judgments on Western Visual Art Along Content-Representational and Formal-Perceptual Attributes. PLoS ONE, 19(9), Artikel e0304285. https://doi.org/10.1371/journal.pone.0304285

Mikuni, J., Spee, B. T. M., Forlani, G., Leder, H., Scharnowski, F., Nakamura, K., Watanabe, K., Kawabata, H., Pelowski, M., & Steyrl, D. (2024). Cross-Cultural Comparison of Beauty Judgments in Visual Art Using Machine Learning Analysis of Art Attribute Predictors Among Japanese and German Speakers. Scientific Reports, 14(1), Artikel 15948. https://doi.org/10.1038/S41598-024-65088-Z

Thanhaeuser, M., Gsoellpointner, M., Kornsteiner-Krenn, M., Steyrl, D., Brandstetter, S., Jilma, B., Berger, A., & Haiden, N. (2024). Introduction of Solid Foods in Preterm Infants and Its Impact on Growth in the First Year of Life-A Prospective Observational Study. Nutrients, 16(13), Artikel 2077. https://doi.org/10.3390/nu16132077