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- Spisak, T., & Friston, K. (2026). Self-orthogonalizing attractor neural networks emerging from the free energy principle. Neurocomputing, 682, 133472. 10.1016/j.neucom.2026.133472
- Spisak, T., Bingel, U., & Wager, T. D. (2023). Multivariate BWAS can be replicable with moderate sample sizes. Nature, 615(7951), E4–E7. 10.1038/s41586-023-05745-x
- Spisak, T., Kincses, B., Schlitt, F., Zunhammer, M., Schmidt-Wilcke, T., Kincses, Z. T., & Bingel, U. (2020). Pain-free resting-state functional brain connectivity predicts individual pain sensitivity. Nature Communications, 11(1). 10.1038/s41467-019-13785-z
- Spisak, T. (2022). Statistical quantification of confounding bias in machine learning models. GigaScience, 11. 10.1093/gigascience/giac082
- Zunhammer, M., Spisák, T., Wager, T. D., Bingel, U., Atlas, L., Benedetti, F., Büchel, C., Choi, J. C., Colloca, L., Duzzi, D., Eippert, F., Ellingsen, D.-M., Elsenbruch, S., Geuter, S., Kaptchuk, T. J., Kessner, S. S., Kirsch, I., Kong, J., Lamm, C., … Zeidan, F. (2021). Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data. Nature Communications, 12(1). 10.1038/s41467-021-21179-3
- Spisák, T., Spisák, Z., Zunhammer, M., Bingel, U., Smith, S., Nichols, T., & Kincses, T. (2019). Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power. NeuroImage, 185, 12–26. 10.1016/j.neuroimage.2018.09.078
- Kotikalapudi, R., Moser, D. A., Dricu, M., Spisak, T., & Aue, T. (2023). Predictive modeling of optimism bias using gray matter cortical thickness. Scientific Reports, 13(1). 10.1038/s41598-022-26550-y
- Kotikalapudi, R., Kincses, B., Gallitto, G., Englert, R., Hoffschlag, K., Li, J., Büchel, C., Bingel, U., & Spisak, T. (2025). On the replicability of diffusion weighted MRI-based brain-behavior models. Communications Biology, 8(1). 10.1038/s42003-025-09048-x
- Badrulhisham, F., Pogatzki-Zahn, E., Segelcke, D., Spisak, T., & Vollert, J. (2024). Machine learning and artificial intelligence in neuroscience: A primer for researchers. Brain, Behavior, and Immunity, 115, 470–479. 10.1016/j.bbi.2023.11.005
- Poldrack, R. A., Markiewicz, C. J., Appelhoff, S., Ashar, Y. K., Auer, T., Baillet, S., Bansal, S., Beltrachini, L., Benar, C. G., Bertazzoli, G., Bhogawar, S., Blair, R. W., Bortoletto, M., Boudreau, M., Brooks, T. L., Calhoun, V. D., Castelli, F. M., Clement, P., Cohen, A. L., … Gorgolewski, K. J. (2024). The past, present, and future of the brain imaging data structure (BIDS). Imaging Neuroscience, 2. 10.1162/imag_a_00103
- Kincses, B., Forkmann, K., Schlitt, F., Jan Pawlik, R., Schmidt, K., Timmann, D., Elsenbruch, S., Wiech, K., Bingel, U., & Spisak, T. (2024). An externally validated resting-state brain connectivity signature of pain-related learning. Communications Biology, 7(1). 10.1038/s42003-024-06574-y
- Li, J., Kincses, B., Schmidt, K., Forkmann, K., Busch, L., Kaur, J., Schlitt-Nguyen, F., Wiech, K., Bingel, U., & Spisak, T. (2026). Beyond pain: a brain-based biomarker predicts individual pain relief. 10.64898/2026.08.21.746216
- Gallitto, G., Englert, R., Kincses, B., Kotikalapudi, R., Li, J., Hoffschlag, K., Ali, S., Bingel, U., & Spisak, T. (2026). Reinforcement Learning via Brain Feedback for real-time fMRI-based adaptive stimulus generation. 10.64898/2026.08.08.743648
- Kincses, B., Pfaffenrot, V., Püchner, K., Spisak, T., Wiech, K., Koopmans, P., & Bingel, U. (2026). Layer-specific cortical processing dissociates sensory and cognitive influences on pain. 10.64898/2026.05.12.724526
- Wei, Z., Spisak, T., Timmann, D., Scherrer, G., Bingel, U., & Wager, T. D. (2026). Cerebellar activation in human placebo analgesia: Bridging findings from mice to humans. 10.64898/2026.04.07.717067