Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Imaging Parkinson’s Disease: Multimodal Biomarkers of Progression and Phenotype

Imaging Parkinson’s Disease: Multimodal Biomarkers of Progression and Phenotype

Digital Poster

Neuro A

Monday, 11 May 2026

Digital Posters Row J

09:15 - 10:10

Session Number: 369-02

No CME/CE Credit

Similar Sessions

This digital poster session comprises a comprehensive range of clinical MRI methods, aiming to understand Parkinson’s Disease, utilising state-of-the-art and leading-edge approaches.

		369-02-001. Neuromelanin MRI Reveals Spatial Signatures and Dopaminergic Coupling in Parkinson’s Progression Jose A. Pineda-Pardo, Miguel López-Aguirre, Alvaro Sánchez-Ferro, Raul Martínez-Fernández, Mariana H. G. Monje, Michele Matarazzo, José Obeso HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid, Spain Impact: NM-MRI yields semiquantitative biomarkers to track nigrostriatal integrity, that correlate with ¹⁸F-DOPA uptake and motor severity, and may aid early diagnosis, patient stratification, and longitudinal staging.
		369-02-002. Elevated Cerebral Oxygen Extraction Fraction in Parkinson’s Disease Correlates with Motor Impairment Severity Huseyin Candan, Dongkyu Lee, Hansol Lee, Jae-Hyeok Lee, Junghun Cho, HyungJoon Cho Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of Impact: Elevated oxygen extraction fraction in early Parkinson’s disease reveals abnormal cerebral oxygen metabolism linked to motor impairment. Noninvasive MRI measurement of cerebral oxygenation offers insight into Parkinson's disease pathophysiology and a potential biomarker for monitoring disease progression.
		369-02-003. Classification of Parkinsonian Disorders: An Integrated Quantitative MRI Model Septian Hartono, Chang Liu, Qicong Sun, Habriyah Ulfah, Devanshi Patidar, Poh Choo Seow, Weiling Lee, Qiqi Lyu, Robert Chen, Eng King Tan, Ling Ling Chan Singapore General Hospital, Singapore, Singapore Impact: Integration of deep learning-derived nigrosome-1, neuromelanin and FW-DTI metrics from presenting 3T MRI aids classification prediction of Parkinsonian disorders (iPD vs sPD vs aPD) at 3-year clinic follow-up, with potential as objective, automated clinical decision support tools in patient management.
		369-02-004. T1w/T2w-Derived Brain Age Gap in Parkinson’s disease and Correlations with Clinical and Neuropsychological Scores Gaurav Nitin Rathi, Jason Longhurst, Jessica K. Caldwell, Aaron Ritter, Zoltan Mari, Virendra Mishra University of Alabama at Birmingham, Birmingham, United States of America Impact: This study demonstrates that integrating myelin-sensitive T1w/T2w imaging with machine learning-based brain age estimation can effectively identify disease-related aging patterns and their clinical correlates. This methodology provides a framework for developing neuroimaging biomarkers to track neurodegenerative progression
		369-02-005. Disentangled Susceptibility in Healthy Controls, Rapid Eye Movement Sleep Behavior Disorder and Parkinson's Disease Alexandra Roberts, Carly Skudin, Qihao Zhang, Chao Zhang, Alexey Dimov, Pascal Spincemaille , Thanh Nguyen, Alexander Shtilbahns, Yi Wang Cornell University, Ithaca, United States of America Impact: Noninvasive, clinically-routine, quantitative susceptibility mapping may discriminate between healthy volunteers, rapid eye movement sleep behavior disorder, and early-stage Parkinson’s disease. Asymmetric iron deposition in the substantia nigra is potential biomarker in rapid eye movement sleep behavior disorder and Parkinson’s disease.
		369-02-006. Detecting Neuromelanin Contrast in Substantia Nigra and Locus Coeruleus Utilizing Amplitude Maps of MRV: A Preliminary Study Cuili Kuang, Liang Li, Wenbing Yang, Changsheng Liu, Yunfei Zha Renmin Hospital of Wuhan University, Wuhan, China Impact: MRV not only effectively enhances blood signal, but also accentuates neuromelanin contrast on amplitude map using small FA excitation with short TR and TE. The study provides a novel perspective for further investigation into the neuromelanin contrast mechanisms in MRI.
		369-02-007. Automated Synthetic Contrast-Enhanced MRI Improves Choroid Plexus Segmentation in Parkinsonian Syndromes. Dagnachew Ambaye, Huseyin Candan, Sungyang Jo, Abel Tessema, Nepes Myratgeldiyev, Chong Suh, Jihong Ryu, Sun Chung, Hansol Lee, Jae-Hyeok Lee, Eun-Jae Lee, HyungJoon Cho Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of Impact: Synthetic contrast-enhanced MRI enables gadolinium-free ChP imaging, improving segmentation accuracy and early detection of neurodegenerative changes. This approach supports safer longitudinal monitoring, broader clinical adoption, and further investigation of ChP-based biomarkers in Parkinsonian syndromes and related neurological disorders.
		369-02-008. Free Water Alterations in White Matter Associated with Freezing of Gait in Parkinson’s Disease Gaiying Li, Jing Gan, Siyuan Fang, Yupeng Wu, Yang Song, Zhenguo Liu, Jianqi Li East China Normal University, Shanghai, China Impact: FW imaging reveals white matter microstructural disruption in FOG, offering a more specific marker of neuroinflammation and degeneration than conventional DTI.
		369-02-009. An exploratory study comparing Dynamic functional connectivity with 1H-MRS in Parkinson’s disease Priyanka Bhat, S Senthil Kumaran, Shweta Pandey, Shivani Tripathi, Rahul Gaurav, Divya Radhakrishnan, Achal Srivastava All India Institute of Medical Sciences, New Delhi, India Impact: The combined MRS and dynFC approach offers a complementary framework to understand correlation between cortical metabolic alterations and network-level dysfunction. The metabolic signatures or network metrics could thereby be used to predict therapeutic response to pharmacological/ neuromodulatory dopaminergic therapy.
		369-02-010. Correlation Analysis Between Apathy Symptoms and Multi-Parameter Glymphatic Indicators in Parkinson's Disease Hao Li, Xuelian Zhao, Zhuo Wang, Jun Wang, Kai AI, Yao Liu, Jing Zhang Department of Magnetic Resonance, Lanzhou, China Impact: This study identifies choroid plexus volume as an independent predictor of apathy in PD using multi-parametric glymphatic metrics. It provides a novel imaging biomarker and therapeutic target for this debilitating symptom.
		369-02-011. Choroid Plexus Hemodynamic Impairment and Glymphatic Dysfunction in Parkinson's Disease Revealed by Multi-Delay ASL Song'an Shang, Jing Zhang, Jing Ye Northern Jiangsu People’s Hospital, Yangzhou, China Impact: This study reveals CP hypoperfusion as a key feature of glymphatic disruption in PD. m-ASL provides noninvasive biomarkers for blood-CSF barrier dysfunction, enhancing understanding of neurodegenerative fluid dynamics.
		369-02-012. Multimodal Graph Contrastive Learning (MG-CL) for Parkinson’s Disease Diagnosis Alou Diakite, Cheng Li, Shanshan Wang Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China Impact: This research provides an effective framework in the diagnosis of one of the most common neurodegenerative conditions, and ultimately can serve as a supportive screening tool for healthcare profession.
		369-02-013. Increased Extracellular Free-Water Fraction Exhibits Spatial Alignment with Neurotransmitter Systems in Parkinson’s Disease Yang Zhao, Aocai Yang, Yufan Chen, Tao Gong, Xiuzheng Yue, guangbin wang Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China Impact: Free-water alterations in Parkinson’s disease are spatially coupled with serotonergic, dopaminergic, and GABAergic systems, revealing a mechanistic link between microstructural degeneration and neurotransmitter dysfunction that underlies clinical heterogeneity and offers imaging biomarkers for precision treatment.