¶
Publications¶
Selected
Latest
All
- 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., Kincses, B., Zunhammer, M., Schlitt, F., Asan, L., Schmidt-Wilcke, T., Kincses, Z. T., Bingel, U., & Spisak, T. (2023). Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach. Pain, 164(11), 2516–2527. 10.1097/j.pain.0000000000002958
- 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
- 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