Lifespan Neural Dynamics Group

Concluded

This former Emmy Noether Group (2017–2023) was led by Douglas Garrett as part of the Berlin site of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research.

Stylized brain in front of wave patterns

The Lifespan Neural Dynamics Group (LNDG) seeks to understand how and why the human brain fluctuates so markedly from moment to moment. In particular, we examine brain signal variability and dynamics in relation to six core research foci:

  • Lifespan Development
  • Cognition
  • Structural/Functional Connectivity
  • Neuromodulation
  • Transcranial Stimulation
  • Methods
Profile of a head with a schematic brain respresentation, Text: Max Planck UCL Centre for Computational Psychiatry and Ageing Research

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

Selected Publications

Haupt, M., Garrett, D. D., & Cichy, R. M. (2025). Healthy aging delays and dedifferentiates high-level visual representations. Current Biology, 35(9), 2112–2127.e6. https://doi.org/10.1016/j.cub.2025.03.062
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Lalwani, P., Polk, T., & Garrett, D. D. (2025). Modulation of brain signal variability in visual cortex reflects aging, GABA, and behavior. eLife, 13, Article e83865. https://doi.org/10.7554/eLife.83865
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Mooraj, Z., Salami, A., Campbell, K. L., Dahl, M. J., Kosciessa, J. Q., Nassar, M. R., Werkle-Bergner, M., Craik, F. I. M., Lindenberger, U., Mayr, U., Rajah, M. N., Raz, N., Nyberg, L., & Garrett, D. D. (2025). Toward a functional future for the cognitive neuroscience of human aging. Neuron, 113(1), 154–183. https://doi.org/10.1016/j.neuron.2024.12.008
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Waschke, L., Kamp, F., van den Elzen, E., Krishna, S., Lindenberger, U., Rutishauser, U., & Garrett, D. D. (2025). Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans. Nature Communications, 16, Article 236. https://doi.org/10.1038/s41467-024-55406-4
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Kosciessa, J. Q., Mayr, U., Lindenberger, U., & Garrett, D. D. (2024). Broadscale dampening of uncertainty adjustment in the aging brain. Nature Communications, 15, Article 10717. https://doi.org/10.1038/s41467-024-55416-2
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Shine, J. M., Lewis, L. D., Garrett, D. D., & Hwang, K. (2023). The impact of the human thalamus on brain-wide information processing. Nature Reviews Neuroscience, 24, 416–430. https://doi.org/10.1038/s41583-023-00701-0
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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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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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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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