Publications of Andreas M. Brandmaier

Nyberg, L., Magnussen, F., Lundquist, A., Baare, W., Bartés-Faz, D., Bertram, L., Boraxbekk, C. J., Brandmaier, A. M., Drevon, C. A., Ebmeier, K., Ghisletta, P., Henson, R. N., Junqué, C., Kievit, R., Kleemeyer, M., Knights, E., Kühn, S., Lindenberger, U., Penninx, B. W. J. H., Pudas, S., Sørensen, Ø., Vaqué-Alcázar, L., Walhovd, K. B., & Fjell, A. M. (2021). Educational attainment does not influence brain aging. Proceedings of the National Academy of Sciences of the United States of America, 118(18), Article e2101644118. https://doi.org/10.1073/pnas.2101644118

Peikert, A., & Brandmaier, A. M. (2021). A reproducible data analysis workflow with R Markdown, Git, Make, and Docker. Quantitative and Computational Methods in Behavioral Sciences, 1, Article e3763. https://doi.org/10.5964/qcmb.3763

Peikert, A., van Lissa, C. J., & Brandmaier, A. M. (2021). Reproducible research in R: A tutorial on how to do the same thing more than once. Psych, 3(4), 836–867. https://doi.org/10.3390/psych3040053

Roe, J. M., Vidal-Piñeiro, D., Sørensen, Ø., Brandmaier, A. M., Düzel, S., Gonzalez, H. A., Kievit, R. A., Knights, E., Kühn, S., Lindenberger, U., Mowinckel, A. M., Nyberg, L., Park, D. C., Pudas, S., Rundle, M. M., Walhovd, K. B., Fjell, A. M., Westerhausen, R., & the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing. (2021). Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer's disease. Nature Communications, 12, Article 721. https://doi.org/10.1038/s41467-021-21057-y

Serang, S., Jacobucci, R., Stegmann, G., Brandmaier, A. M., Culianos, D., & Grimm, K. J. (2021). Mplus trees: Structural equation model trees using Mplus. Structural Equation Modeling, 28(1), 127–137. https://doi.org/10.1080/10705511.2020.1726179

Sørensen, Ø., Brandmaier, A. M., Macià, D., Ebmeier, K., Ghisletta, P., Kievit, R. A., Mowinckel, A. M., Walhovd, K. B., Westerhausen, R., & Fjell, A. (2021). Meta-analysis of generalized additive models in neuroimaging studies. NeuroImage, 224, Article 117416. https://doi.org/10.1016/j.neuroimage.2020.117416

van Lissa, C. J., Brandmaier, A. M., Brinkman, L., Lamprecht, A.-L., Peikert, A., Struiksma, M. E., & Vreede, B. M. I. (2021). WORCS: A workflow for open reproducible code in science. Data Science, 4(1), 29–49. https://doi.org/10.3233/DS-210031

Vidal-Pineiro, D., Wang, Y., Krogsrud, S. K., Amlien, I. K., Baaré, W. F. C., Bartres-Faz, D., Bertram, L., Brandmaier, A. M., Drevon, C. A., Düzel, S., Ebmeier, K., Henson, R. N., Junqué, C., Kievit, R. A., Kühn, S., Leonardsen, E., Lindenberger, U., Madsen, K. S., Magnussen, F., Mowinckel, A. M., Nyberg, L., Roe, J. M., Segura, B., Smith, S. M., Sørensen, Ø., Suri, S., Westerhausen, R., Zalesky, A., Zsoldos, E., Walhovd, K. B., & Fjell, A. (2021). Individual variations in 'brain age' relate to early-life factors more than to longitudinal brain change. eLife, 10, Article e69995. https://doi.org/10.7554/eLife.69995

Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling, 27(4), 613–628. https://doi.org/10.1080/10705511.2019.1667240

Bender, A. R., Brandmaier, A. M., Düzel, S., Keresztes, A., Pasternak, O., Lindenberger, U., & Kühn, S. (2020). Hippocampal subfields and limbic white matter jointly predict learning rate in older adults. Cerebral Cortex, 30(4), 2465–2477. https://doi.org/10.1093/cercor/bhz252