Andreas Brandmaier - Publications

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

Tucker-Drob, E. M., Brandmaier, A. M., & Lindenberger, U. (2019). Coupled cognitive changes in adulthood: A meta-analysis. Psychological Bulletin, 145(3), 273–301. https://doi.org/10.1037/bul0000179

Boker, S. M., von Oertzen, T., & Brandmaier, A. M. (2019). Products of variables in structural equation models: Multiplicative reticular action models. PsyArXiv, September 6, 2019. https://doi.org/10.31234/osf.io/36y9n