Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Traditional Poster

Analysis in Neurodegenerative Disease

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Analysis in Neurodegenerative Disease
Traditional Poster
Analysis Methods
Monday, 11 May 2026
Traditional Posters | Exhibition Hall
13:50 - 14:45
Session Number: 370-04
No CME/CE Credit
The session covers analysis of MRI markers of neurodegenerative disease.
Skill Level: Basic,Intermediate,Advanced

  Figure 370-04-028.  Atrophy in cortical thickness, cognitive deficits, and their transcriptomic signatures in patients with non-neuropsychiatric
yuxuan Shang, Peng Li, Wen Wang
Tangdu Hospital, Shaanxi, China
Impact: In the organization of the reduced cortical thickness in non-NPSLE patients is likely driven by the effect of neurodegenerative processes.
  Figure 370-04-029.  Iron accumulation in Caudate and its associations with age and sex across hemispheres in Parkinson’s disease
Arpita Misra, Ana-Maria Oros-Peusquens, Kathrin Reetz, Imis Dogan, Jörg Schulz, Yi Wang, N. Jon Shah, Junghun Cho
George Washington University, Washington, United States of America
Impact: This study demonstrates feasibility of QQ, a novel technique for quantifying neural tissue iron. QQ’s non-blood susceptibility parameter ($\chi_n$) serves as reliable surrogate for iron accumulation, enhancing understanding of iron-related pathophysiology in Parkinson’s disease and other neurodegenerative disorders.
  Figure 370-04-030.  Fast susceptibility imaging and mapping for Parkinson’s disease
Jonghyo Youn, Chungseok Oh, Jongho Lee
Seoul National University, Seoul, Korea, Republic of
Impact: This study optimized a segmented-EPI sequence to generate SWI, SMWI, QSM, and χ-separation maps with image quality comparable to conventional GRE while reducing scan time (< 3 min), thereby improving clinical applicability in diagnosing neurodegenerative diseases such as Parkinson’s disease.
  Figure 370-04-031.  23NaMRI signal separation based on T2 relaxation in patients with Alzheimer’s Disease and matched healthy controls
Sara Hejazi, Ying-Chia Lin, Alaleh Alivar, Kennedy Watson, Kamri Clarke, Justin Quimbo, Malika Kumbella, Simon Henin, Yulin Ge, Arjun Masurkar, Anli Liu, Fernando Boada, Yvonne Lui, Yongxian Qian
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
Impact: This work demonstrates the potential of separated sodium imaging to reveal both neuronal loss and preserved neuronal function in Alzheimer’s disease. By distinguishing sodium components, this approach may serve as a sensitive biomarker for early neurodegenerative alterations.
  Figure 370-04-032.  Multi-contrast cerebrovascular reactivity and noise mapping in Alzheimer’s disease
Maria Guidi, Giovanni Giulietti, Taljinder Singh, Matteo Mancini, Mauro DiNuzzo, Sabrina Bonarota, Giulia Caruso, Carlotta Di Domenico, Fabrizio Esposito, Laura Serra, Carlo Caltagirone, Giovanni Augusto Carlesimo, Federico Giove
CREF - Enrico Fermi Research Center, Rome, Italy
Impact: This work advances the understanding of cerebrovascular reactivity’s impact on functional MRI signals by integrating multi-contrast CVR measures with TE-independent noise analysis. It improves interpretation of vascular and non-neural contributions in fMRI, enhancing biomarker specificity for aging and neurodegenerative diseases.
  Figure 370-04-033.  Pathway‐Anchored QSM Radiomics of an Iron‐Enriched Motor Circuit: Early, Sensitive Detection and Clinical Translation in ALS
Tao Lu, Shan Wu, Xinyi Yu, Ningkui Hong, Jia Zhe, Weixia Mao, bao qin guo, Yi Zhu, Qiuli Zhang, Ming Zhang
The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
Impact: Pathway-level QSM radiomics detects ALS-related iron dysregulation, enabling risk flagging, imaging endpoints for iron/redox trials, and studies of iron–oxidative stress. It shifts biomarkers from averages to textures, motivating multicenter validation and multimodal integration to translate susceptibility mapping into decision support.
  Figure 370-04-034.  GluCEST MRI reveals glutamate as a biomarker for neuroinflammation and neurodegeneration
Ongira Chowdhury, Kasturee Chakraborty, Ritambhar Burman, Claire Vania, Puneet Bagga
St. Jude Children's Research Hospital, Memphis, United States of America
Impact: In the long term, high-resolution, noninvasive GluCEST imaging offers strong potential for monitoring various neuroinflammatory and neurodegenerative diseases, providing a robust tool for early diagnosis, treatment assessment, and designing targeted therapies to enhance clinical outcomes.
  Figure 370-04-035.  Perfusion Measurements in Gliomas and Cognitive Decline Continuum in Alzheimer’s Disease Using BBB-ASL MRI
Gülce Turhan, Beatriz Padrela, Ayse Irem Cetin, Amnah Mahroo, Simon Konstandin, Daniel Christopher Hoinkiss, Nora-Josefin Breutigam, Vera Keil, Ayca Ersen Danyeli, Koray Özduman, Atle Bjørnerud, Sandra Tecelão, Per Selnes, Oliver Geier, Klaus Eickel, Henk Mutsaerts, Tormod Fladby, Matthias Günther, Jan Petr, Alp Dinçer, Esin Ozturk Isik
Bogazici University, Istanbul, Turkey
Impact: Multi-TE BBB-ASL MRI provides a non-invasive approach to measure BBB disruptions in normal appearing white matter of gliomas and neurodegenerative diseases. Lower CBF in cognitive decline continuum in Alzheimer’s diseases and lower Tex in gliomas were observed.
  Figure 370-04-036.  Quantitative Analysis of Substantia Nigra Margin Blurring for Early Parkinson’s Disease Diagnosis
fei liu, guangbin wang, Xiuzheng Yue, Tao Gong
Impact: This method demonstrates higher sensitivity than conventional ROI analysis and holds potential as an imaging biomarker for early PD diagnosis.

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