Publications of Douglas D. Garrett

Nyberg, L., Karalija, N., Salami, A., Andersson, M., Wåhlin, A., Kaboovand, N., Köhncke, Y., Axelsson, J., Rieckmann, A., Papenberg, G., Garrett, D. D., Riklund, K., Lövdén, M., Lindenberger, U., & Bäckman, L. (2016). Dopamine D2 receptor availability is linked to hippocampal-caudate functional connectivity and episodic memory. Proceedings of the National Academy of Sciences of the United States of America, 113(28), 7918–7923. https://doi.org/10.1073/pnas.1606309113

Garrett, D. D., Nagel, I. E., Preuschhof, C., Burzynska, A. Z., Marchner, J., Wiegert, S., Jungehülsing, G. J., Nyberg, L., Villringer, A., Li, S.-C., Heekeren, H. R., Bäckman, L., & Lindenberger, U. (2015). Amphetamine modulates brain signal variability and working memory in younger and older adults. Proceedings of the National Academy of Sciences of the United States of America, 112(24), 7593–7598. https://doi.org/10.1073/pnas.1504090112

Garrett, D. D., McIntosh, A. R., & Grady, C. L. (2014). Brain signal variability is parametrically modifiable. Cerebral Cortex, 24(11), 2931–2940. https://doi.org/10.1093/cercor/bht150

Grady, C. L., & Garrett, D. D. (2014). Understanding variability in the BOLD signal and why it matters for aging. Brain Imaging and Behavior, 8(2), 274–283. https://doi.org/10.1007/s11682-013-9253-0

Burzynska, A. Z., Garrett, D. D., Preuschhof, C., Nagel, I. E., Li, S.-C., Bäckman, L., Heekeren, H. R., & Lindenberger, U. (2013). A scaffold for efficiency in the human brain. The Journal of Neuroscience, 33(43), 17150–17159. https://doi.org/10.1523/JNEUROSCI.1426-13.2013

Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2013). The modulation of BOLD variability between cognitive states varies by age and processing speed. Cerebral Cortex, 23(3), 684–693. https://doi.org/10.1093/cercor/bhs055

Garrett, D. D., Samanez-Larkin, G. R., MacDonald, S. W. S., Lindenberger, U., McIntosh, A. R., & Grady, C. L. (2013). Moment-to-moment brain signal variability: A next frontier in human brain mapping? Neuroscience & Biobehavioral Reviews, 37, 610–624. https://doi.org/10.1016/j.neubiorev.2013.02.015

Garrett, D. D., MacDonald, S. W. S., & Craik, F. I. M. (2012). Intraindividual reaction time variability is malleable: Feedback- and education-related reductions in variability with age. Frontiers in Human Neuroscience, 6, Article 101. https://doi.org/10.3389/fnhum.2012.00101

Skowron, A., Kosciessa, J. Q., Lorenz, R., Hertwig, R., van den Bos, W., & Garrett, D. D. (2025). Neural variability compresses with increasing belief precision during Bayesian inference (Version posted online January 23, 2025). BioRxiv, January 12, 2024. https://doi.org/10.1101/2024.01.11.575180

Garrett, D. D., Kloosterman, N. A., Epp, S. M., Chopurian, V., Kosciessa, J. Q., Waschke, L., Skowron, A., Shine, J. M., Perry, A., Salami, A., Rieckmann, A., Papenberg, G., Wåhlin, A., Karalija, N., Andersson, M., Riklund, K., Lövdén, M., Bäckman, L., Nyberg, L., & Lindenberger, U. (2022). Dynamic regulation of neural variability during working memory reflects dopamine, functional integration, and decision-making. BioRxiv, May 5, 2022. https://doi.org/10.1101/2022.05.05.490687