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Publications¶
Selected
Latest
All
2025¶
- Spisak & Friston (2025)
- Caliskan et al. (2025)
- Gomes et al. (2025)
- Li et al. (2025)
- Schneider Penate et al. (2025)
- Spisak et al. (2025)
- Gallitto et al. (2025)
2024¶
- Englert et al. (2024)
- Kincses et al. (2024)
- Kotikalapudi et al. (2024)
- Poldrack et al. (2024)
- Badrulhisham et al. (2024)
2023¶
- Englert et al. (2023)
- Englert et al. (2023)
- Kincses et al. (2023)
- Poldrack et al. (2023)
- Steiner et al. (2023)
- Kotikalapudi et al. (2023)
- Spisak et al. (2023)
- Kotikalapudi et al. (2023)
2022¶
2021¶
- Veréb et al. (2021)
- Spisak (2021)
- Neumann et al. (2021)
- Somogyi et al. (2021)
- Gomes et al. (2021)
- Zunhammer et al. (2021)
2020¶
2019¶
2018¶
2017¶
2016¶
2014¶
2013¶
- Spisak, T., & Friston, K. (2025). Self-orthogonalizing attractor neural networks emerging from the free energy principle. arXiv. 10.48550/ARXIV.2505.22749
- 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., Román, V., Papp, E., Kedves, R., Sághy, K., Csölle, C. K., Varga, A., Gajári, D., Nyitrai, G., Spisák, Z., Kincses, Z. T., Lévay, G., Lendvai, B., & Czurkó, A. (2019). Purkinje cell number-correlated cerebrocerebellar circuit anomaly in the valproate model of autism. Scientific Reports, 9(1). 10.1038/s41598-019-45667-1
- 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
- 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, 1–19. 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
- Englert, R., Schedlowski, M., Engler, H., Rief, W., Büchel, C., Bingel, U., & Spisak, T. (2023). ALIIAS: Anonymization/Pseudonymization with LimeSurvey integration and II-factor Authentication for Scientific research. SoftwareX, 24, 101522. 10.1016/j.softx.2023.101522
- Caliskan, E. B., Schmidt, K., Hellmann, A., Spisák, T., Bingel, U., & Kleine-Borgmann, J. (2025). From catastrophizing to catalyzing: does pain catastrophizing modulate the beneficial impact of open-label placebos for chronic low back pain? A secondary analysis. Frontiers in Psychology, 16. 10.3389/fpsyg.2025.1522634
- Gomes, C. A., Bach, D. R., Razi, A., Batsikadze, G., Elsenbruch, S., Engler, H., Ernst, T. M., Fellner, M. C., Fraenz, C., Genç, E., Klass, A., Labrenz, F., Lissek, S., Merz, C. J., Metzen, D., Nostadt, A., Pawlik, R. J., Schneider, J. E., Tegenthoff, M., … Axmacher, N. (2025). Predicting individual differences of fear and cognitive learning and extinction. 10.1101/2025.05.04.651880
- Li, J., Schmidt, K., Busch, L., Forkmann, K., Spisak, T., Kaur, J., Schlitt-Nguyen, F., Wiech, K., & Bingel, U. (2025). Common and distinct neural mechanisms of aversive and appetitive pain-related learning. 10.1101/2025.04.02.646781
- Schneider Penate, J. E., Gomes, C. A., Spisak, T., Genc, E., Merz, C. J., Wolf, O. T., Quick, H. H., Elsenbruch, S., Engler, H., Fraenz, C., Metzen, D., Ernst, T. M., Thieme, A., Batsikadze, G., Hagedorn, B., Timmann, D., Güntürkün, O., Axmacher, N., & Kumsta, R. (2025). Polygenic prediction of fear learning is mediated by brain connectivity. 10.1101/2025.03.12.25323754