PsychAuthors

Literaturliste von Dr. Andreas M. Brandmaier

letzte Aktualisierung: 25.06.2024

Brandmaier, A. M. (2024). Big data dimensionality reduction methods. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari & U. W. Ebner-Priemer (Eds.), Mobile Sensing in Psychology. Methods and Applications (pp. 456-476). New York: Guilford Press.

Brandmaier, A. M. (2024). Machine learning for mobile sensing data. In M. R. Mehl, M. Eid, C. Wrzus, G. M. Harari & U. W. Ebner-Priemer (Eds.), Mobile Sensing in Psychology. Methods and Applications (pp. 409-431). New York: Guilford Press.

Binnewies, J., Nawijn, L., Brandmaier, A. M., Baare, W. F. C., Boraxbekk, C.-J., Demnitz, N., Drevon, C. A., Fjell, A. M., Lindenberger, U., Madsen, K. S., Nyberg, L., Topiwala, A., Walhovd, K. B., Ebmeier, K. P. & Penninx, B. W. J. H. (2023). Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan: A pooled analysis in the European Lifebrain consortium. Brain Research Bulletin (BRB), 200, No. 110692.

Boker, S. M., von Oertzen, T., Pritikin, J. N., Hunter, M. D., Brick, T. R., Brandmaier, A. M. & Neale, M. C. (2023). Products of variables in structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 1-11.

Ernst, M. S., Peikert, A., Brandmaier, A. M. & Rosseel, Y. (2023). A note on the connection between trek rules and separable nonlinear least squares in linear structural equation models. Psychometrika, 88(1), 98-116.

Fjell, A. M., Sørensen, Ø., Wang, Y., Amlien, I. K., Baaré, W. F. C., Bartrés-Faz, D., Bertram, L., Boraxbekk, C.-J., Brandmaier, A. M., Demuth, I., Drevon, C. A., Ebmeier, K. P., Ghisletta, P., Kievit, R., Kühn, S., Madsen, K. S., Mowinckel, A. M., Nyberg, L., Sexton, C. E., Solé-Padullés, C., Vidal-Piñeiro, D., Wagner, G., Watne, L. O. & Walhovd, K. B. (2023). No phenotypic or genotypic evidence for a link between sleep duration and brain atrophy. Nature Human Behaviour, 7(11), 2008-2022.

Fjell, A. M., Sørensen, Ø., Wang, Y., Amlien, I. K., Baaré, W. F. C., Bartrés-Faz, D., Boraxbekk, C.-J., Brandmaier, A. M., Demuth, I., Drevon, C. A., Ebmeier, K. P., Ghisletta, P., Kievit, R., Kühn, S., Madsen, K. S., Nyberg, L., Solé-Padullés, C., Vidal-Piñeiro, D., Wagner, G., Otto, L. & Walhovd, K. B. (2023). Is short sleep bad for the brain? Brain structure and cognitive function in short sleepers. Journal of Neuroscience, 43(28), 5241-5250.

Anand, C., Brandmaier, A. M., Lynn, J., Arshad, M., Stanley, J. A. & Raz, N. (2022). Test-retest and repositioning effects of white matter microstructure measurements in selected white matter tracts. Neuroimage: Reports, 2(2), No. 100096.

Binnewies, J., Nawijn, L., Brandmaier, A. M., Baaré, W. F. C., Bartrés-Faz, D., Drevon, C. A., Düzel, S., Fjell, A. M., Han, L. K. M., Knights, E., Lindenberger, U., Milaneschi, Y., Mowinckel, A. M., Nyberg, L., Plachti, A., Madsen, K. S., Solé-Padullés, C., Suri, S., Walhovd, K. B., Zsoldos, E., Ebmeier, K. P. & Penninx, B. W. J. H. (2022). Associations of depression and regional brain structure across the adult lifespan: Pooled analyses of six population-based and two clinical cohort studies in the European Lifebrain consortium. NeuroImage: Clinical, 36, No. 103180.

Düzel, S., Drewelies, J., Polk, S. E., Misgeld, C., Porst, J., Wolfarth, B., Kühn, S., Brandmaier, A. M. & Wenger, E. (2022). No evidence for a boost in psychosocial functioning in older age after a 6-months physical exercise intervention. Frontiers in Human Neuroscience, 16, No. 825454.

Friemelt, B., Bloszies, C., Ernst, M. S., Peikert, A., Brandmaier, A. M. & Koch, T. (2022). On the performance of different regularization methods in bifactor-(S-1) models with explanatory variables-caveats, recommendations, and future directions. Structural Equation Modeling: A Multidisciplinary Journal, 1-14.

Johansson, J., Wåhlin, A., Lundquist, A., Brandmaier, A. M., Lindenberger, U. & Nyberg, L. (2022). Model of brain maintenance reveals specific change-change association between medial-temporal lobe integrity and episodic memory. Aging Brain, 2, No. 100027.

Karalija, N., Johansson, J., Papenberg, G., Wåhlin, A., Salami, A., Köhncke, Y., Brandmaier, A. M., Andersson, M., Axelsson, J., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L. & Nyberg, L. (2022). Longitudinal dopamine D2 receptor changes and cerebrovascular health in aging. Neurology, 99(12), e1278-e1289.

Kempermann, G., Bogado Lopes, J., Zocher, S., Schilling, S., Ehret, F., Garthe, A., Karasinsky, A., Brandmaier, A. M., Lindenberger, U., Winter, Y. & Overall, R. W. (2022). The Individuality Paradigm: Automated longitudinal activity tracking of large cohorts of genetically identical mice in an enriched environment. Neurobiology of Disease, 175, No. 105916.

Nyberg, L., Andersson, M., Lundquist, A., Baaré, W. F. C., Bartés-Faz, D., Bertram, L., Boraxbekk, C.-J., Brandmaier, A. M., Demnitz, N., Drevon, C. A., Duezel, S., Ebmeier, K. P., Ghisletta, P., Henson, R., Jensen, D. E. A., Kievit, R. A., Knights, E., Kühn, S., Lindenberger, U., Plachti, A., Pudas, S., Roe, J. M., Madsen, K. S., Solé-Padullés, C., Sommerer, Y., Suri, S., Zsoldos, E., Fjell, A. M. & Walhovd, K. B. (2022). Individual differences in brain aging: heterogeneity in cortico-hippocampal but not caudate atrophy rates. Cerebral Cortex, No. bhac400.

Polk, S. E., Kleemeyer, M. M., Köhncke, Y., Brandmaier, A. M., Bodammer, N. C., Misgeld, C., Porst, J., Wolfarth, B., Kühn, S., Lindenberger, U., Wenger, E. & Düzel, S. (2022). Change in latent gray-matter structural integrity is associated with change in cardiovascular fitness in older adults who engage in at-home aerobic exercise. Frontiers in Human Neuroscience, 16, No. 852737.

Sole-Padulles, C., Macià, D., Andersson, M., Stiernstedt, M., Pudas, S., Düzel, S., Zsoldos, E., Ebmeier, K. P., Binnewies, J., Drevon, C. A., Brandmaier, A. M., Mowinckel, A. M., Fjell, A. M., Madsen, K. S., Baaré, W. F. C., Lindenberger, U., Nyberg, L., Walhovd, K. B. & Bartrés-Faz, D. (2022). No association between loneliness, episodic memory and hippocampal volume change in young and healthy older adults: A longitudinal European multicenter study. Frontiers in Aging Neuroscience, 14, No. 795764.

Tucker-Drob, E. M., de la Fuente, J., Köhncke, Y., Brandmaier, A. M., Nyberg, L. & Lindenberger, U. (2022). A strong dependency between changes in fluid and crystallized abilities in human cognitive aging. Science Advances, 8(5), No. eabj2422.

Walhovd, K. B., Fjell, A. M., Wang, Y., Amlien, I. K., Mowinckel, A. M., Lindenberger, U., Düzel, S., Bartrés-Faz, D., Ebmeier, K. P., Drevon, C. A., Baaré, W. F. C., Ghisletta, P., Baruël Johansen, L., Kievit, R. A., Henson, R. N., Skak Madsen, K., Nyberg, L., Harris, J. R., Solé-Padullés, C., Pudas, S., Øystein, S., Westerhausen, R., Zsoldos, E., Nawijn, L., Lyngstad, T. H., Suri, S., Penninx, B., Rogeberg, O. J. & Brandmaier, A. M. (2022). Education and income show heterogeneous relationships to lifespan brain and cognitive differences across European and US cohorts. Cerebral Cortex, 32(4), 839-854.

Wenger, E., Polk, S. E., Kleemeyer, M. M., Weiskopf, N., Bodammer, N. C., Lindenberger, U. & Brandmaier, A. M. (2022). Reliability of quantitative multiparameter maps is high for magnetization transfer and proton density but attenuated for R-1 and R-2 in healthy young adults. Human Brain Mapping, 43(11), 3585-3603.

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.

Arnold, M., Voelkle, M. C. & Brandmaier, A. M. (2021). Score-guided structural equation model trees. Frontiers in Psychology, 11, No. 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(1), No. e2979.

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.

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-Pineiro, 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.

Fjell, A. M., Grydeland, H., Wang, Y., Amlien, I. K., Bartres-Faz, D., Brandmaier, A. M., Düzel, S., Elman, J., Franz, C. E., Haberg, A. K., Kietzmann, T. C., Kievit, R. A., Kremen, W. S., Krogsrud, S. K., Kühn, S., Lindenberger, U., Macía, 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, No. e66466.

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, No. 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.

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.

Nyberg, L., Magnussen, F., Lundquist, A., Baare, W., Bartrés-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), No. e2101644118.

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(1), No. e3763.

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.

Roe, J. M., Vidal-Pineiro, 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. (2021). Asymmetric thinning of the cerebral cortex across the adult lifespan is accelerated in alzheimer's disease. Nature Communications, 12(1), No. 721.

Sorensen, O., 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, No. 117416.

Van Lissa, C. J., Brandmaier, A. M., Brinkman, L., Lamprecht, A.-L., Peikert, A., Struiksma, M. E. & Vreede, B. M. (2021). WORCS: A workflow for open reproducible code in science. Data Science, 4(1), 29-49.

Vidal-Pineiro, D., Wang, Y., Krogsrud, S. K., Amlien, I. K., Baaré, W. F., 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, No. e69995.

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: A Multidisciplinary Journal, 27(4), 613-628.

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.

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.

Budin-Ljøsne, I., Friedman, B. B., Suri, S., Solé-Padullés, C., Düzel, S., Drevon, C. A., Baaré, W. F. C., Mowinckel, A. M., Zsoldos, E., Madsen, K. S., Carver, R. B., Ghisletta, P., Arnesen, M. R., Bartrés Faz, D., Brandmaier, A. M., Fjell, A. M., Kvalbein, A., Henson, R. N., Kievit, R. A., 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, No. 387.

Gorbach, T., Pudas, S., Bartrés-Faz, D., Brandmaier, A. M., Düzel, S., Henson, R. N., Idland, A.-V., Lindenberger, U., Macià Bros, D., 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 4 carriers. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 12(1), No. e12110.

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, No. 351.

Serang, S., Jacobucci, R., Stegmann, G., Brandmaier, A. M., Culianos, D. & Grimm, K. J. (2020). Mplus Trees: Structural equation model trees using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 1-36.

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 & Function, 224, 3373-3385.

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 (AMPPS), 2(1), 55-76.

Karalija, N., Wahlin, A., Ek, J., Rieckmann, A., Papenberg, G., Salami, A., Brandmaier, A. M., Köhncke, Y., Johansson, J., Andersson, M., Axelsson, J., Orädd, G., Riklund, K., Lövden, 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.

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.

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.

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

Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Lindenberger, U. & Hertzog, C. (2018). Precision, reliability, and effect size of slope variance in latent growth curve models: Implications for statistical power analysis. Frontiers in Psychology, 9, No. 294.

Brandmaier, A. M., Wenger, E., Bodammer, N. C., Kühn, S., Raz, N. & Lindenberger, U. (2018). Assessing reliability in neuroimaging research through intra-class effect decomposition (ICED). eLife, 7, No. e35718.

Kievit, R. A., Brandmaier, A. M., Ziegler, G., van Harmelen, A.-L., de Mooij, S. M.M., Moutoussis, M., Goodyer, I. M., Bullmore, E., Jones, P. B., Fonagy, P., Lindenberger, U. & Dolan, R. J. (2018). Developmental cognitive neuroscience using latent change score models: A tutorial and applications. Developmental Cognitive Neuroscience, 33, 99-117.

Brandmaier, A. M., Ram, N., Wagner, G. G. & Gerstorf, D. (2017). Terminal decline in well-being: The role of multi-indicator constellations of physical health and psychosocial correlates. Developmental Psychology, 53(5), 996-1012.

Bender, A. R., Prindle, J. J., Brandmaier, A. M. & Raz, N. (2016). White matter and memory in healthy adults: Coupled changes over two years. NeuroImage, 131, 193-204.

Brandmaier, A. M., Prindle, J. J., Lindenberger, U. & McArdle, J. J. (2016). Theory-Guided Exploration With Structural Equation Model Forests. Psychological Methods, 21(4), 566-582.

Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering of Time Series. Journal of Statistical Software, 67(5), 1-23.

Brandmaier, A. M., von Oertzen, T., Ghisletta, P., Hertzog, C. & Lindenberger, U. (2015). Lifespan: A tool for the computer-aided design of longitudinal studies. Frontiers in Psychology (Online Journal), 6, No. 272.

Freund, J., Brandmaier, A. M., Lewejohann, L., Kirste, I., Kritzler, M., Krüger, A., Sachser, N., Lindenberger, U. & Kempermann, G. (2015). Association between exploratory activity and social individuality in genetically identical mice living in the same enriched environment. Neuroscience, 309, 140-152.

Karch, J. D., Sander, M. C., von Oertzen, T., Brandmaier, A. M. & Werkle-Bergner, M. (2015). Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance. NeuroImage, 538-552.

Lever, A. G., Geurts, H. M., Werkle-Bergner, M., Brandmaier, A. M. & Ridderinkhof, K. R. (2015). Atypical Working Memory Decline Across the Adult Lifespan in Autism Spectrum Disorder? Journal of Abnormal Psychology, 124(4), 1014-1026.

von Oertzen, T., Brandmaier, A. M. & Tsang, S. (2015). Structural equation modeling with Omega nyx. Structural Equation Modeling: A Multidisciplinary Journal, 22(1), 148-161.

Brandmaier, A. M., von Oertzen, T., McArdle, J. J. & Lindenberger, U. (2014). Exploratory data mining with structural equation model trees. In J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 96-127). New York: Routledge.

Ghisletta, P., Baeckman, L., Bertram, L., Liu, T., Brandmaier, A. M., Lindenberger, U. & Gerstorf, D. (2014). The Val/Met Polymorphism of the Brain-Derived Neurotrophic Factor (BDNF) Gene Predicts Decline in Perceptual Speed in Older Adults. Psychology and Aging, 29(2), 384-392.

Brandmaier, A. M., von Oertzen, T., McArdle, J. J. & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18(1), 71-86.

Freund, J., Brandmaier, A. M., Lewejohann, L., Kirste, L., Kritzler, M., Krüger, A., Sachser, N., Lindenberger, U. & Kempermann, G. (2013). Emergence of individuality in genetically identical mice. Science, 340(6133), 756-759.

von Oertzen, T. & Brandmaier, A. M. (2013). Optimal study design with identical power: An application of power equivalence to latent growth curve models. Psychology and Aging, 28(2), 414-428.

Wrzus, C., Brandmaier, A. M., von Oertzen, T., Müller, V., Wagner, G. G. & Riediger, M. (2012). A new approach for assessing sleep duration and postures from ambulatory accelerometry. PLoS ONE, 7(10), No. e48089.

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