Lifespan Neural Dynamics Group

This Emmy Noether Group is part of the Berlin site of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and is affiliated with the Center for Lifespan Psychology.

© Mehau Kulyk / Science Photo Library / Universal Images Group

© Mehau Kulyk / Science Photo Library / Universal Images Group

Interests within the Lifespan Neural Dynamics Group (LNDG) center on the examination of EEG/fMRI brain signal variability and dynamics in relation to lifespan development, cognition, neurochemistry, network dynamics, and brain structure.

Further information on this Emmy Noether Group's work can be found here.

Max Planck UCL Centre for Computational Psychiatry and Ageing Research

The Max Planck UCL Centre for Computational Psychiatry and Ageing Research was launched in April 2014. It is based on an initiative by scientists from the Max Planck Society and University College London (UCL) targeting the development and application of computational methods that reorganize and improve our understanding of mental illness and behavioral aging. more

Funding

Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin
Max Planck UCL Centre for Computational Psychiatry and Ageing Research
Emmy Noether-Programme of the Deutsche Forschungsgemeinschaft (DFG)

Selected Publications

Månsson, K. N. T., Waschke, L., Manzouri, A., Furmark, T., Fischer, H., & Garrett, D. D. (2022). Moment-to-moment brain signal variability reliably predicts psychiatric treatment outcome. Biological Psychiatry, 91(7), 658–666. https://doi.org/10.1016/j.biopsych.2021.09.026

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Garrett, D. D., Skowron, A., Wiegert, S., Adolf, J., Dahle, C. L., Lindenberger, U., & Raz, N. (2021). Lost dynamics and the dynamics of loss: Longitudinal compression of brain signal variability is coupled with declines in functional integration and cognitive performance. Cerebral Cortex, 31(11), 5239–5252. https://doi.org/10.1093/cercor/bhab154

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Kosciessa, J. Q., Lindenberger, U., & Garrett, D. D. (2021). Thalamocortical excitability modulation guides human perception under uncertainty. Nature Communications, 12, Article 2430. https://doi.org/10.1038/s41467-021-22511-7

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Lalwani, P., Garrett, D. D., & Polk, T. A. (2021). Dynamic recovery: GABA agonism restores neural variability in older, poorer performing adults. The Journal of Neuroscience, 41(45), 9350–9360. https://doi.org/10.1523/JNEUROSCI.0335-21.2021

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Waschke, L., Kloosterman, N. A., Obleser, J., & Garrett, D. D. (2021). Behavior needs neural variability. Neuron, 109(5), 751–766. https://doi.org/10.1016/j.neuron.2021.01.023

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Garrett, D. D., Epp, S. M., Kleemeyer, M., Lindenberger, U., & Polk, T. A. (2020). Higher performers upregulate brain signal variability in response to more feature-rich visual input. NeuroImage, 217, Article 116836. https://doi.org/10.1016/j.neuroimage.2020.116836

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Kloosterman, N. A., Kosciessa, J. Q., Lindenberger, U., Fahrenfort, J. J., & Garrett, D. D. (2020). Boosts in brain signal variability track liberal shifts in decision bias. eLife, (9), Article e54201. https://doi.org/10.7554/eLife.54201

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Kosciessa, J. Q., Kloosterman, N. A., & Garrett, D. D. (2020). Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What’s signal irregularity got to do with it? PLoS Computational Biology, 16(5), Article e1007885. https://doi.org/10.1371/journal.pcbi.1007885

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