Publikationen von Andreas M. Brandmaier

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

Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2020). Gaussian Process Panel Modeling: Machine learning inspired analysis of longitudinal panel data. Frontiers in Psychology, 11, Article 351. https://doi.org/10.3389/fpsyg.2020.00351

Anand, C., Brandmaier, A. M., Arshad, M., Lynn, J., Stanley, J. A., & Raz, N. (2019). White-matter microstructural properties of the corpus callosum: Test-retest and repositioning effects in two parcellation schemes. Brain Structure and Function, 224(9), 3373–3385. https://doi.org/10.1007/s00429-019-01981-y

Jacobucci, R., Brandmaier, A. M., & Kievit, R. A. (2019). A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models. Advances in Methods and Practices in Psychological Science, 2(1), 55–76. https://doi.org/10.1177/2515245919826527

Karalija, N., Wåhlin, A., Ek, J., Rieckmann, A., Papenberg, G., Salami, A., Brandmaier, A. M., Köhncke, Y., Johansson, J., Andersson, M., Axelsson, J., Orädd, G., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L., & Nyberg, L. (2019). Cardiovascular factors are related to dopamine integrity and cognition in aging. Annals of Clinical and Translational Neurology, 6(11), 2291–2303. https://doi.org/10.1002/acn3.50927

Karch, J. D., Filevich, E., Wenger, E., Lisofsky, N., Becker, M., Butler, O., Mårtensson, J., Lindenberger, U., Brandmaier, A. M., & Kühn, S. (2019). Identifying predictors of within-person variance in MRI-based brain volume estimates. NeuroImage, 200, 575–589. https://doi.org/10.1016/j.neuroimage.2019.05.030

Kühn, S., Düzel, S., Colzato, L., Norman, K., Gallinat, J., Brandmaier, A. M., Lindenberger, U., & Widaman, K. F. (2019). Food for thought: Association between dietary tyrosine and cognitive performance in younger and older adults. Psychological Research, 83(6), 1097–1106. https://doi.org/10.1007/s00426-017-0957-4