Journal Article (1217)

2019
Journal Article
Eshaghi, A., Kievit, R. A., Prados, F., Sudre, C. H., Nicholas, J., Cardoso, M. J., Chan, D., Nicholas, R., Ourselin, S., Greenwood, J., Thompson, A. J., Alexander, D. C., Barkhof, F., Chataway, J., & Ciccarelli, O. (2019). Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis. Proceedings of the National Academy of Sciences of the United States of America, 116(22), 11020–11027. https://doi.org/10.1073/pnas.1818978116
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Friston, K. J., Preller, K. H., Mathys, C., Cagnan, H., Heinzle, J., Razi, A., & Zeidman, P. (2019). Dynamic causal modelling revisited. NeuroImage, 199, 730–744. https://doi.org/10.1016/j.neuroimage.2017.02.045
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Gajdos, T., Fleming, S. M., Saez Garcia, M., Weindel, G., & Davranche, K. (2019). Revealing subthreshold motor contributions to perceptual confidence. Neuroscience of Consciousness, 5(1), Article niz001. https://doi.org/10.1093/nc/niz001
Journal Article
Garbusow, M., Nebe, S., Sommer, C., Kuitunen-Paul, S., Sebold, M., Schad, D. J., Friedel, E., Veer, I. M., Wittchen, H.-U., Rapp, M. A., Ripke, S., Walter, H., Huys, Q. J. M., Schlagenhauf, F., Smolka, M. N., & Heinz, A. (2019). Pavlovian-to-instrumental transfer and alcohol consumption in young male social drinkers: Behavioral, neural and polygenic correlates. Journal of Clinical Medicine, 8(8), Article 1188. https://doi.org/10.3390/jcm8081188
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Gaschler, R., Schuck, N. W., Reverberi, C., Frensch, P. A., & Wenke, D. (2019). Incidental covariation learning leading to strategy change. PLoS ONE, 14(1), Article e0210597. https://doi.org/10.1371/journal.pone.0210597
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Gerstorf, D., Drewelies, J., Duezel, S., Smith, J., Wahl, H.- W., Schilling, O., Kunzmann, U., Siebert, J. S., Katzorreck, M., Eibich, P., Demuth, I., Steinhagen-Thiessen, E., Wagner, G. G., Lindenberger, U., Heckhausen, J., & Ram, N. (2019). Cohort differences in adult-life trajectories of internal and external control beliefs: A tale of more and better maintained internal control and fewer external constraints. Psychology and Aging, 34(8), 1090–1108. https://doi.org/10.1037/pag0000389
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Grosskurth, E. D., Bach, D. R., Economides, M., Huys, Q. J. M., & Holper, L. (2019). No substantial change in the balance between model-free and model-based control via training on the two-step task. PLoS Computational Biology, 15(11), Article e1007443. https://doi.org/10.1371/journal.pcbi.1007443
Journal Article
Gu, X., FitzGerald, T. H. B., & Friston, K. J. (2019). Modeling subjective belief states in computational psychiatry: Interoceptive inference as a candidate framework. Psychopharmacology, 236(8), 2405–2412. https://doi.org/10.1007/s00213-019-05300-5
Journal Article
Hämmerer, D., Schwartenbeck, P., Gallagher, M., FitzGerald, T. H. B., Düzel, E., & Dolan, R. J. (2019). Older adults fail to form stable task representations during model-based reversal inference. Neurobiology of Aging, 74, 90–100. https://doi.org/10.1016/j.neurobiolaging.2018.10.009
Journal Article
Hauser, T. U., Eldar, E., Purg, N., Moutoussis, M., & Dolan, R. J. (2019). Distinct roles of dopamine and noradrenaline in incidental memory. The Journal of Neuroscience, 39(39), 7715–7721. https://doi.org/10.1523/jneurosci.0401-19.2019
Journal Article
Hensel, C., Becker, M., Düzel, S., Demuth, I., Norman, K., Steinhagen-Thiessen, E., Gallinat, J., Lindenberger, U., & Kühn, S. (2019). Influence of nutritional tyrosine on cognition and functional connectivity in healthy old humans. NeuroImage, 193, 139–145. https://doi.org/10.1016/j.neuroimage.2019.03.005
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Herce Castañón, S., Moran, R., Ding, J., Egner, T., Bang, D., & Summerfield, C. (2019). Human noise blindness drives suboptimal cognitive inference. Nature Communications, 10, Article 1719. https://doi.org/10.1038/s41467-019-09330-7
Journal Article
Hilliard, D., Passow, S., Thurm, F., Schuck, N. W., Garthe, A., Kempermann, G., & Li, S.-C. (2019). Noisy galvanic vestibular stimulation modulates spatial memory in young healthy adults. Scientific Reports, 9, Article 9310. https://doi.org/10.1038/s41598-019-45757-0
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Hu, X., Luo, L., & Fleming, S. M. (2019). A role for metamemory in cognitive offloading. Cognition, 193, Article 104012. https://doi.org/10.1016/j.cognition.2019.104012
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Hunt, L. T. (2019). The life-changing magic of sharing your data. Nature Human Behaviour, 3, 312–315. https://doi.org/10.1038/s41562-019-0560-3
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Iigaya, K., Ahmadian, Y., Sugrue, L. P., Corrado, G. S., Loewenstein, Y., Newsome, W. T., & Fusi, S. (2019). Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature Communications, 10, Article 1466. https://doi.org/10.1038/s41467-019-09388-3
Journal Article
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
Journal Article
Karalija, N., Papenberg, G., Wåhlin, A., Johansson, J., Andersson, M., Axelsson, J., Riklund, K., Lövdén, M., Lindenberger, U., Bäckman, L., & Nyberg, L. (2019). C957T-mediated variation in ligand affinity affects the association between 11C-raclopride binding potential and cognition. Journal of Cognitive Neuroscience, 31(2), 314–325. https://doi.org/10.1162/jocn_a_01354
Journal Article
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
Journal Article
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
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