Grey-matter structure in cortical and limbic regions correlates with general 
cognitive ability in old age

Köhncke, Ylva; Kühn, Simone; Düzel, Sandra; Sander, Myriam C.; Brandmaier, Andreas M.; Lindenberger, Ulman

doi:10.1016/j.nbas.2023.100103

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Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age

MPS-Authors

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Köhncke, Ylva
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;

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Kühn, Simone
Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons139454

Düzel, Sandra
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons139752

Sander, Myriam C.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons139406

Brandmaier, Andreas M.
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

/persons/resource/persons139635

Lindenberger, Ulman
Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society;
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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https://doi.org/10.1016/j.nbas.2023.100103
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1-s2.0-S2589958923000403-mmc1.pdf
(Supplementary material), 930KB

Citation

Köhncke, Y., Kühn, S., Düzel, S., Sander, M. C., Brandmaier, A. M., & Lindenberger, U. (2024). Grey-matter structure in cortical and limbic regions correlates with general cognitive ability in old age. Aging Brain, 5: 100103. doi:10.1016/j.nbas.2023.100103.

Cite as: https://hdl.handle.net/21.11116/0000-000D-F862-D

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