Delius, J. A. M., & Lindenberger, U. (2025). Baltes, Paul B. In Historische Kommission bei der Bayerischen Akademie der Wissenschaften (Ed.), NDB-online. Historische Kommission bei der Bayerischen Akademie der Wissenschaften.

Fandakova, Y., & Lindenberger, U. (2025). Normal aging of frontal lobes and executive functions. In J. H. Grafman (Ed.), Encyclopedia of the human brain (2nd ed., Vol. 3, pp. 26–38). Elsevier. https://doi.org/10.1016/B978-0-12-820480-1.00081-4

Beyer, M., Sudimac, S., Steininger, M. O., & Kühn, S. (2024). Interplay between the physical environment and the human brain: A review of MRI research. In S. Kühn (Ed.), Environmental neuroscience (pp. 31–70). Springer. https://doi.org/10.1007/978-3-031-64699-7_3

Brandmaier, A. M. (2024). Machine learning for mobile sensing data. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 409–431). Guilford Press.

Brandmaier, A. M. (2024). Big data dimensionality reduction methods. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari, & U. W. Ebner-Priemer (Eds.), Mobile sensing in psychology: Methods and applications (pp. 456–476). Guilford Press.

Kühn, S. (2024). Preface. In S. Kühn (Ed.), Environmental neuroscience (pp. V-VIII). Springer.

Tawil, N., & Kühn, S. (2024). The built environment and the brain: Review of emerging methods to investigate the impact of viewing architectural design. In S. Kühn (Ed.), Environmental neuroscience (pp. 169–226). Springer. https://doi.org/10.1007/978-3-031-64699-7_9

Brandmaier, A. M., & Jacobucci, R. C. (2023). Machine learning approaches to structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd ed., pp. 722–739). Guilford Press.

Charpentier, C. J., & Cogliati Dezza, I. (2022). Information-seeking in the brain. In I. Cogliati Dezza, E. Schulz, & C. M. Wu (Eds.), The drive for knowledge: The science of human information seeking (pp. 195–216). Cambridge University Press.

Cogliati Dezza, I., Schulz, E., & Wu, C. M. (2022). Preface. In I. Cogliati Dezza, E. Schulz, & C. M. Wu (Eds.), The drive for knowledge: The science of human information seeking (pp. xv-xix). Cambridge University Press.

Cogliati Dezza, I., Schulz, E., & Wu, C. M. (2022). Future challenges. In I. Cogliati Dezza, E. Schulz, & C. M. Wu (Eds.), The drive for knowledge: The science of human information seeking (pp. 279–290). Cambridge University Press.

Huys, Q. J. M. (2022). Computational cognitive methods for precision psychiatry. In L. M. Williams & L. M. Hack (Eds.), Precision psychiatry: Using neuroscience insights to inform personally tailored, measurement-based care (pp. 179–198). American Psychiatric Association Publishing. https://doi.org/10.1176/appi.books.9781615379118.lg11

Huys, Q. J. M., & Browning, M. (2022). A computational view on the nature of reward and value in anhedonia. In D. A. Pizzagalli (Ed.), Anhedonia: Preclinical, translational, and clinical integration (pp. 421–441). Springer Nature. https://doi.org/10.1007/7854_2021_290

O’Doherty, J. P., & Dolan, R. J. (2022). Facial beauty and the medial orbitofrontal cortex. In A. Chatterjee & E. Cardilo (Eds.), Brain, beauty, and art: Essays bringing neuroaesthetics into focus (pp. 43–47). Oxford University Press. https://doi.org/10.1093/oso/9780197513620.003.0009

Chamberlain, S. R., Solly, J. E., Hook, R. W., Vaghi, M. M., & Robbins, T. W. (2021). Cognitive inflexibility in OCD and related disorders. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 125–145). Springer. https://doi.org/10.1007/7854_2020_198

Demuth, I., Bertram, L., Drewelies, J., Düzel, S., Lill, C. M., Lindenberger, U., Pawelec, G., Spira, D., Wagner, G. G., & Gerstorf, D. (2021). Berlin Aging Study II (BASE-II). In D. Gu & M. E. Dupre (Eds.), Encyclopedia of gerontology and population aging (2021 ed., pp. 649–656). Springer. https://doi.org/10.1007/978-3-030-22009-9_27

Hauser, T. U. (2021). On the development of OCD. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 17–30). Springer. https://doi.org/10.1007/7854_2020_195

Vaghi, M. M. (2021). Neurocognitive endophenotypes of OCD. In N. A. Fineberg & T. W. Robbins (Eds.), The neurobiology and treatment of OCD: Accelerating progress (pp. 97–124). Springer. https://doi.org/10.1007/7854_2020_197

Visser, R. M., Anderson, M. C., Aron, A., Banich, M. T., Brady, K. T., Huys, Q. J. M., Monfils, M.-H., Schiller, D., Schlagenhauf, F., Schooler, J. W., & Robbins, T. W. (2021). Neuropsychological mechanisms of intrusive thinking. In P. W. Kalivas & M. P. Paulus (Eds.), Intrusive thinking: From molecules to free will (pp. 125–184). MIT Press. https://doi.org/10.7551/mitpress/13875.003.0015

Wenger, E., & Kühn, S. (2021). Neuroplasticity. In T. Strobach & J. Karbach (Eds.), Cognitive training: An overview of features and applications (2nd ed., pp. 69–83). Springer. https://doi.org/10.1007/978-3-030-39292-5_6