Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
369-02-005 ISMRM Abstract

Disentangled Susceptibility in Healthy Controls, Rapid Eye Movement Sleep Behavior Disorder and Parkinson's Disease

Primary: Neuro - Parkinson's Disease
Secondary: Neuro - Other Neurodegeneration
369-02-005 · Imaging Parkinson’s Disease: Multimodal Biomarkers of Progression and Phenotype · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row J
Keywords: Parkinson's Disease Quantitative Susceptibility Mapping (QSM) Neuroimaging Biomarkers Early detection REM sleep behavior disorder
Accepted
Alexandra G Roberts 1,2, Carly Skudin2, Qihao Zhang3, Chao Zhang2, Alexey Dimov2, Pascal Spincemaille 2, Thanh D Nguyen4, Alexander Shtilbahns5,6, Yi Wang2
1Electrical & Computer Engineering, Cornell University, Ithaca, United States of America
2Radiology, Weill Cornell Medicine, New York, United States of America
3Weill Cornell Medical College, New York, United States of America
4Radiology, Weill Cornell Medical College, New York, United States of America
5Neurology, Weill Cornell Medicine, New York, United States of America
6Neurology, Hospital for Special Surgery, New York, United States of America
Presenting Author: Alexandra G Roberts

Synopsis

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References

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9. Roberts AG, Tozlu C, Akkus S, Spincemaille P, Kopell B, Wang Y. Dual-rater noise compensation in UPDRS improvements from deep brain stimulation via quantitative susceptibility mapping outcome prediction. presented at: International Society of Magnetic Resonance in Medicine; 2025 2025; http://dx.doi.org/10.58530/2025/4698 Concord, CA [doi]
10. Roberts AG, Zhang J, Tozlu C, et al. Technical Feasibility of Quantitative Susceptibility Mapping Radiomics for Predicting Deep Brain Stimulation Outcomes in Parkinson Disease. Neurosurgery. Sep 18 2025;doi:10.1227/neu.0000000000003721 [doi]
11. Roberts AG, Zhang J, Tozlu C, et al. Quantitative Susceptibility Mapping Radiomics with Label Noise Compensation for Predicting Deep Brain Stimulation Outcomes in Parkinson’s Disease. MedRxiv: Cold Spring Harbor Laboratory; 2024. 10.1101/2024.12.26.24319663 [doi]
12. Roberts AG, Zhang J, Tozlu C, et al. Radiomic prediction of Parkinson’s disease deep brain stimulation surgery outcomes using quantitative susceptibility mapping and label noise compensation. neuromodecJ. 2024/10/1 2024;doi:10.31641/nmj-ogms6387 [doi]
13. Roberts AG, Zhang J, Tozlu C, et al. Radiomic Prediction of Parkinson’s Disease Deep Brain Stimulation Surgery Outcomes using Quantitative Susceptibility Mapping and Label Noise Compensation. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation. 2025;18(4):1286-1288. doi:10.1016/j.brs.2025.05.062 [doi]
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15. Roberts AG, Zhang J, Akkus S, et al. Radiomic Prediction of Parkinson’s Disease Deep Brain Stimulation Surgery Motor and Non-motor Outcomes using Quantitative Susceptibility Mapping. presented at: Magnetic Resonance Phase, Susceptibility, and Electrical Properties Mapping; 2024; https://www.researchgate.net/publication/388035895_Radiomic_Prediction_of_Parkinson's_Disease_Deep_Brain_Stimulation_Surgery_Motor_and_Non-_motor_Outcomes_using_Quantitative_Susceptibility_Mapping
16. Roberts AG, Kovanlikaya I, Kopell B, Spincemaille P, Nguyen T, Wang Y. Improved Visualization of the Medial Medullary Lamina via Phase Priors in Quantitative Susceptibility Mapping. presented at: International Society of Magnetic Resonance in Medicine; 2023; Toronto, Canada. https://doi.org/10.58530/2023/1391 [doi]
17. Roberts AG, Akkus S, Spadaccia M, et al. Joint Prediction of Motor and Non-motor Deep Brain Stimulation Outcomes using Quantitative Susceptibility Mapping. presented at: International Congress of Parkinson’s Disease and Movement Disorders; 2025; Hawaii. https://www.researchgate.net/publication/392929149_Joint_Prediction_of_Motor_and_Non-motor_Deep_Brain_Stimulation_Outcomes_using_Quantitative_Susceptibility_Mapping
18. Roberts AG, Akkus S, Romano D, Spincemaille P, Kopell B, Wang Y. Lateral deep brain stimulation prediction using quantitative susceptibility mapping (QSM) and unsupervised Gaussian mixture models. presented at: International Society of Magnetic Resonance in Medicine; 2025 2025; http://dx.doi.org/10.58530/2025/4913 Concord, CA [doi]
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25. Heinrichs-Graham E, Santamaria PM, Gendelman HE, Wilson TW. The cortical signature of symptom laterality in Parkinson's disease. NeuroImage: Clinical. 2017/01/01/ 2017;14:433-440. doi:https://doi.org/10.1016/j.nicl.2017.02.010 [doi]
26. Guan X, Guo T, Zhou C, et al. Asymmetrical nigral iron accumulation in Parkinson's disease with motor asymmetry: an explorative, longitudinal and test-retest study. Aging (Albany NY). 2020/9/27 2020;12(18):18622-18634. doi:10.18632/aging.103870 [doi]
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29. Liu Z, Spincemaille P, Yao Y, Zhang Y, Wang Y. MEDI+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping. Magnetic Resonance in Medicine. 2018;79(5):2795-2803. doi:10.1002/mrm.26946 [doi]
30. Dimov AV, Nguyen TD, Spincemaille P, et al. Global cerebrospinal fluid as a zero‐reference regularization for brain quantitative susceptibility mapping. Journal of Neuroimaging. 2022;32(1):141-147. doi:10.1111/jon.12923 [doi]
31. Liu T, Wisnieff C, Lou M, Chen W, Spincemaille P, Wang Y. Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping. Magnetic Resonance in Medicine. 2013;69(2):467-476. doi:10.1002/mrm.24272 [doi]
32. Dymerska B, Eckstein K, Bachrata B, et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO). Magnetic Resonance in Medicine. 2021;85(4):2294-2308. doi:10.1002/mrm.28563 [doi]
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34. Roberts AG, Romano DJ, Şişman M, et al. Maximum spherical mean value filtering for whole‐brain QSM. Magnetic Resonance in Medicine. 2024;91(4):1586-1597. doi:10.1002/mrm.29963 [doi]
35. Roberts AG, Avecillas-Chasin J, Spadaccia M, et al. χ-DBS: An Open-Source Susceptibility Atlas Tool for Deep Brain Stimulation Target Visualization and Segmentation. presented at: International Congress of Parkinson’s Disease and Movement Disorders; 2025; Hawaii. https://www.researchgate.net/publication/392929343_ch-DBS_An_Open-Source_Susceptibility_Atlas_Tool_for_Deep_Brain_Stimulation_Target_Visualization_and_Segmentation
36. Roberts AG, Sisman M, Dimov A, et al. Whole Brain Source Separation for Neurodegeneration. presented at: International Society of Magnetic Resonance in Medicine; 2024; Singapore. https://doi.org/10.58530/2024/4370 [doi]

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http://echo.ismrm.org/p/ISMRM2026/369-02-005