Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
271-01-042 / 404-04-003 ISMRM Abstract

Data-driven staging and subtyping reveal spatiotemporal trajectories of brain iron in Parkinson’s disease

Primary: Neuro - Parkinson's Disease
Secondary: Analysis Methods - Classification and Prediction
271-01-042 · ISMRM AMPC Selected Posters · Sunday, 10 May, 7:00 AM–2:00 PM · Traditional Posters
404-04-003 · Applications of QSM and Iron in the Brain · Tuesday, 12 May, 4:00 PM–5:50 PM · Ballroom East
Keywords: Modelling Quantitative Susceptibility Mapping (QSM) Disease progression Parkinsons Disease
Accepted
Jianmei Qin 1,2, Alain Dagher2, Xiaojun Guan3, Minming Zhang4
1Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
2Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
3Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
4Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
Presenting Author: Jianmei Qin

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. H. R. Morris, M. G. Spillantini, C. M. Sue, and C. H. Williams-Gray, “The pathogenesis of Parkinson’s disease,” The Lancet, vol. 403, no. 10423, pp. 293–304, Jan. 2024, doi: 10.1016/S0140-6736(23)01478-2. [doi]
2. R. J. Ward, F. A. Zucca, J. H. Duyn, R. R. Crichton, and L. Zecca, “The role of iron in brain ageing and neurodegenerative disorders,” Lancet Neurol., vol. 13, no. 10, pp. 1045–1060, Oct. 2014, doi: 10.1016/S1474-4422(14)70117-6. [doi]
3. Y. Chen et al., “The interplay of iron, oxidative stress, and α-synuclein in Parkinson’s disease progression,” Mol. Med., vol. 31, no. 1, p. 154, Apr. 2025, doi: 10.1186/s10020-025-01208-3. [doi]
4. C. Langkammer et al., “Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study,” NeuroImage, vol. 62, no. 3, pp. 1593–1599, Sept. 2012, doi: 10.1016/j.neuroimage.2012.05.049. [doi]
5. X. Guan et al., “Altered brain iron depositions from aging to Parkinson’s disease and Alzheimer’s disease: A quantitative susceptibility mapping study,” NeuroImage, vol. 264, p. 119683, Dec. 2022, doi: 10.1016/j.neuroimage.2022.119683. [doi]
6. J. Acosta-Cabronero et al., “The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease,” Brain, vol. 140, no. 1, pp. 118–131, Jan. 2017, doi: 10.1093/brain/aww278. [doi]
7. L. M. Aksman et al., “pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm,” SoftwareX, vol. 16, p. 100811, Dec. 2021, doi: 10.1016/j.softx.2021.100811. [doi]
8. A. L. Young et al., “Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference,” Nat. Commun., vol. 9, no. 1, p. 4273, Oct. 2018, doi: 10.1038/s41467-018-05892-0. [doi]
9. J. Huck et al., “High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps,” Brain Struct. Funct., vol. 224, no. 7, pp. 2467–2485, Sept. 2019, doi: 10.1007/s00429-019-01919-4. [doi]
10. M. C. Keuken et al., “Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI,” NeuroImage, vol. 94, pp. 40–46, July 2014, doi: 10.1016/j.neuroimage.2014.03.032. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/271-01-042