Publikationen von Andreas M. Brandmaier

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

Brandmaier, A. M., Ghisletta, P., & von Oertzen, T. (2020). Optimal planned missing data design for linear latent growth curve models. Behavior Research Methods, 52, 1445–1458. https://doi.org/10.3758/s13428-019-01325-y

Budin-Ljøsne, I., Friedman, B. B., Suri, S., Solé-Padullés, C., Düzel, S., Drevon, C. A., Baaré, W. F., Mowinckel, A. M., Zsoldos, E., Madsen, K. S., Carver, R. B., Ghisletta, P., Arnesen, M., Bartrés-Faz, D., Brandmaier, A. M., Fjell, A. M., Kvalbein, A., Henson, R. N., Kievit, R., Nawijn, L., Pochet, R., Schnitzler, A., Walhovd, K. B., & Zasiekina, L. (2020). The Global Brain Health Survey: Development of a multi-language survey of public views on brain health. Frontiers in Public Health, 8, Article 387. https://doi.org/10.3389/fpubh.2020.00387

Gorbach, T., Pudas, S., Bartrés-Faz, D., Brandmaier, A. M., Düzel, S., Henson, R. N., Idland, A.-V., Lindenberger, U., Bros, D. M., Mowinckel, A. M., Solé-Padullés, C., Sørensen, Ø., Walhovd, K. B., Watne, L. O., Westerhausen, R., Fjell, A. M., & Nyberg, L. (2020). Longitudinal association between hippocampus atrophy and episodic-memory decline in non-demented APOE-ε4 carriers. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 12(1), Article e12110. https://doi.org/10.1002/dad2.12110