Andreas Brandmaier - Publikationen

Arnold, M., Brandmaier, A. M., & Voelkle, M. C. (2021). Predicting differences in model parameters with individual parameter contribution regression using the R package Ipcr. Psych, 3(3), 360–385. https://doi.org/10.3390/psych3030027

Arnold, M., Voelkle, M. C., & Brandmaier, A. M. (2021). Score-guided structural equation model trees. Frontiers in Psychology, 11, Article 564403. https://doi.org/10.3389/fpsyg.2020.564403

Cekic, S., Aichele, S., Brandmaier, A. M., Köhncke, Y., & Ghisletta, P. (2021). A tutorial for joint modeling of longitudinal and time-to-event data in R. Quantitative and Computational Methods in Behavioral Sciences, 1, Article e2979. https://doi.org/10.5964/qcmb.2979

Fitzgerald, C. E., Estabrook, R., Martin, D. P., Brandmaier, A. M., & von Oertzen, T. (2021). Correcting the bias of the root mean squared error of approximation under missing data. Methodology, 17(3), 189–204. https://doi.org/10.5964/meth.2333

Fjell, A. M., Grydeland, H., Wang, Y., Amlien, I., Bartrés-Faz, D., Brandmaier, A. M., Düzel, S., Elman, J., Franz, C., Håberg, A. K., Kietzmann, T. C., Kievit, R. A., Kremen, W. S., Krogsrud, S. K., Kühn, S., Lindenberger, U., Macià, D., Mowinckel, A. M., Nyberg, L., Panizzon, M. S., Solé-Padullés, C., Sørensen, Ø., Westerhausen, R., & Walhovd, K. B. (2021). The genetic organization of longitudinal subcortical volumetric change is stable throughout the lifespan. eLife, 10, Article e66466. https://doi.org/10.7554/eLife.66466

Fjell, A. M., Sørensen, Ø., Amlien, I. K., Bartrés-Faz, D., Brandmaier, A. M., Buchmann, N., Demuth, I., Drevon, C. A., Düzel, S., Ebmeier, K. P., Ghisletta, P., Idland, A.-V., Kietzmann, T. C., Kievit, R. A., Kühn, S., Lindenberger, U., Magnussen, F., Macià, D., Mowinckel, A. M., Nyberg, L., Sexton, C. E., Solé-Padullés, C., Pudas, S., Roe, J. M., Sederevicius, D., Suri, S., Vidal-Piñeiro, D., Wagner, G., Watne, L. O., Westerhausen, R., Zsoldos, E., & Walhovd, K. B. (2021). Poor self-reported sleep is related to regional cortical thinning in aging but not memory decline: Results from the Lifebrain consortium. Cerebral Cortex, 31(4), 1953–1969. https://doi.org/10.1093/cercor/bhaa332

Karalija, N., Köhncke, Y., Düzel, S., Bertram, L., Papenberg, G., Demuth, I., Lill, C. M., Johansson, J., Riklund, K., Lövdén, M., Bäckman, L., Nyberg, L., Lindenberger, U., & Brandmaier, A. M. (2021). A common polymorphism in the dopamine transporter gene predicts working memory performance and in vivo dopamine integrity in aging. NeuroImage, 245, Article 118707. https://doi.org/10.1016/j.neuroimage.2021.118707

Köhncke, Y., Düzel, S., Sander, M. C., Lindenberger, U., Kühn, S., & Brandmaier, A. M. (2021). Hippocampal and parahippocampal gray matter structural integrity assessed by multimodal imaging is associated with episodic memory in old age. Cerebral Cortex, 31(3), 1464–1477. https://doi.org/10.1093/cercor/bhaa287

Lin, Z., Werner, A., Lindenberger, U., Brandmaier, A. M., & Wenger, E. (2021). Assessing music expertise: The Berlin Gehoerbildung Scale. Music Perception, 38(4), 406–421. https://doi.org/10.1525/mp.2021.38.4.406

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