569-06-010 ISMRM Abstract

Evolution of Age-Related Brain Iron Accumulation Studied By Quantitative MRI

Primary: Neuro - Aging

Secondary: Contrast Mechanisms - Relaxometry

569-06-010 · Magnetization Transfer and Relaxometry · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row J

Keywords: Brain Lifespan Iron quantification Transverse relaxation Subcortical segmentation

Accepted

Anne Schmieder¹, Felix Büttner ^1,2, Pierre-Louis Bazin³, Kerrin J Pine¹, Maelig Chauvel¹, Richard McElreath⁴, Carsten Jäger^1,5, Gerald Falkenberg⁶, Dennis Brückner⁶, Nikolaus Weiskopf^1,7,8, Evgeniya Kirilina¹

¹Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

²International Max Planck Research School (IMPRS) for Cognitive Neuroimaging, Germany

³Full Brain Picture Analytics, Leiden, Netherlands

⁴Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

⁵Center of Neuropathology and Brain Research, Medical Faculty, University of Leipzig, Paul Flechsig Institute, Leipzig, Germany

⁶Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany

⁷Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth System Sciences, Leipzig University, Leipzig, Germany

⁸Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom

Presenting Author: Felix Büttner

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References

1. Weiskopf, N., Edwards, L. J., Helms, G., Mohammadi, S. & Kirilina, E. Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nat. Rev. Phys. 3, 570–588 (2021). https://doi.org/10.1038/s42254-021-00326-1 [doi]

2. Callaghan, Martina F., et al. Widespread age-related differences in the human brain microstructure revealed by quantitative magnetic resonance imaging. Neurobiology of aging 35.8 (2014): 1862-1872. https://doi.org/10.1016/j.neurobiolaging.2014.02.008 [doi]

3. Langkammer, C. et al. Quantitative MR Imaging of Brain Iron: A Postmortem Validation Study. Radiology (2010) doi:10.1148/radiol.10100495. [doi]

4. Hallgren, B. & Sourander, P. The Effect of Age on the Non-Haemin Iron in the Human Brain. J. Neurochem. 3, 41–51 (1958). doi:10.1111/j.1471-4159.1958.tb12607.x. [doi]

5. Gräßle, T. et al. Sourcing high tissue quality brains from deceased wild primates with known socio‐ecology. Methods Ecol. Evol. 2041–210X.14039 (2023) doi:10.1111/2041-210X.14039. [doi]

6. Friederici, A. D., et al. Brain structure and function: A multidisciplinary pipeline to study hominoid brain evolution. Front. in Integr. Neuroscie., 17, 12990 (2024). doi:10.3389/fnint.2023.1299087 [doi]

7. Lipp, I. et al. Lifespan trajectory of chimpanzee brains characterized by magnetic resonance imaging histology bioRxiv 2024.12.06.627145; https://doi.org/10.1101/2024.12.06.627145 [doi]

8. Vaculčiaková L, Podranski K, Edwards LJ, et al. Combining navigator and optical prospective motion correction for high-quality 500 μm resolution quantitative multi-parameter mapping at 7T. Magn Reson Med. 2022; 88: 787-801. doi:10.1002/mrm.29253 [doi]

9. Bazin, P.-L., Alkemade, A., Mulder, M. J., Henry, A. G. & Forstmann, B. U. Multi-contrast anatomical subcortical structures parcellation. eLife 9, e59430 (2020). doi:10.7554/eLife.59430. [doi]

10. Miletić, S. et al. Charting human subcortical maturation across the adult lifespan with in vivo 7 T MRI. NeuroImage 249, 118872 (2022). doi:10.1016/j.neuroimage.2022.118872 [doi]

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http://echo.ismrm.org/p/ISMRM2026/569-06-010