Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - From Bench to Bedside: All About the Brain in Health and Alzheimer’s Disease

From Bench to Bedside: All About the Brain in Health and Alzheimer’s Disease

Digital Poster

Neuro A

Tuesday, 12 May 2026

Digital Posters Row A

09:15 - 10:10

Session Number: 460-02

No CME/CE Credit

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This digital poster session explores advanced neuroimaging and computational approaches to understanding healthy brain aging and Alzheimer’s disease across the lifespan. Presentations span molecular and microstructural imaging of amyloid, myelin, iron, and metabolism (e.g., QSM, magnetization transfer, quantitative MRI), alongside AI-driven models for brain age estimation, disease progression prediction, and cognitive decline. Several studies integrate cross-species (human and animal) frameworks and histological validation, highlighting the translational potential of emerging biomarkers. Collectively, the session emphasizes how quantitative imaging and machine learning can improve early detection, biological characterization, and prognostic assessment in aging and Alzheimer’s disease.

		460-02-001. Comparison of myelin-sensitive quantitative MR and histological markers in Alzheimer's disease tissue samples Amaya Murguia, Andrea Jacobson, Scott Swanson, Ulrich Scheven, Jon-Fredrik Nielsen, Jeffrey Fessler, Navid Seraji-Bozorgzad University of Michigan, Ann Arbor, United States of America Impact: In the context of ADRD, factors other than myelin quantity may affect conventional MWF and MTR, including axonal density. Disentangling the contributions of histological features that affect these measures is important for using them to study white matter in ADRD.
		460-02-002. Predicting 3-years Alzheimer’s Disease progression using deep-learning based quantification of brain volumetry Lina Bacha, Bénédicte Maréchal, Punith Bidarakka Venkategowda, Keerthi Prabhu M, Jean-Philippe Thiran, Jonathan Disselhorst, Alessandra Griffa, Gilles Allali, Tommaso Di Noto Siemens Healthineers International AG, Lausanne, Switzerland Impact: This research demonstrates that regional volumetric Z-Scores extracted from T1-weighted MRI can predict Alzheimer’s disease conversion with promising performance. Our results emphasize the potential of volumetric Z-scores as accessible and clinically valuable prognosis tool.
		460-02-003. Beta-amyloid Plaque Characterization using QSM and Paramagnetic/Diamagnetic Susceptibility in AD mice Juan Liu, Jingjia Chen, Jie Chen, Li Feng, Nian Wang University of Texas Southwestern Medical Center, Dallas, United States of America Impact: Our findings reveal that diamagnetic (DCS) and paramagnetic (PCS) susceptibility components are effective to understand the properties of beta-amyloid plaques. In addition, DCS and PCS contribute to more accurate assessment and effective intervention of Alzheimer’s disease.
		460-02-004. Cross-Species Evaluation of Gadolinium-Enhanced QSM for Cortical Plaque Detection in Human and Mouse Brain Hongbo Wu, Jie Chen, Zhuoheng Liu, Nian Wang University of Texas Southwestern Medical Center, Dallas, United States of America Impact: This cross-species study demonstrates that Gadolinium enhancement significantly improves cortical plaque visibility on QSM in both human and mouse brains, supporting its potential as a translational biomarker for neurodegenerative pathology detection.
		460-02-005. PDH and PC Dysfunction in Glucose Metabolism Underlies Neuronal Energy Deficit in Alzheimer’s Disease Anant Patel, Chaynita Dashora CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India Impact: Impaired PC- and PDH-mediated pyruvate metabolism links neuronal energy deficit and anaplerosis to memory decline. These findings highlight metabolic dysfunction as a mechanistic driver of cognitive decline in Alzheimer’s disease.
		460-02-006. Soluble Aβ40-Mediated Neuronal Dysfunction in Alzheimer’s Disease Chaynita Dashora, Anant Patel CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India Impact: Soluble Aβ₄₀ oligomers drive early neuronal metabolic dysfunction preceding memory impairment in 5xFAD mice, while compensatory astroglial activation occurs later, highlighting cell-specific metabolic alterations as potential targets for early intervention in Alzheimer’s disease.
		460-02-007. Ultrashort Echo Time Magnetization Transfer Imaging of Myelin in Alzheimer's Disease Using an APP Knock-In Mouse Model Jiaji Wang, Jiyo Athertya, Xin Cheng, Amanda Patel, Qingbo Tang, Eric Chang, Shanshan Wang, Yajun Ma, Brian Head, Guangyu Tang, Jiang Du Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China Impact: UTE-MTR enables sensitive in vivo assessment of myelin integrity in APPKI Alzheimer’s mice, allowing reliable quantification of white and grey matter degeneration. This technique shows strong potential for tracking disease progression and evaluating therapies targeting myelin preservation or repair.
		460-02-008. Detectability of white matter hyperintensities in 0.6T FLAIR scans Navid Jabarimani, Jeroen de Bresser, Ece Ercan, Marius Staring, Matthias van Osch, Martijn Nagtegaal C.J. Gorter MRI Center, Leiden University Medical Center, Netherlands Impact: 0.6T MRI potentially enables detecting WMH and estimating WMH burden.
		460-02-009. Cortical cerebral hemodynamics are associated with white matter lesions in typically aging adults in an age-dependent manner Jan Kufer, Christa Michel, Yiwen Zhang, Yue Hong, Lauren Antonucci, Gayathri Vijayaraghavan, Courtney Accorsi, Adam Khay, Beau Ances, Susan Bookheimer, Carlos Cruchaga, Jennifer Elam, Dara Ghahremani,, Matthew Glasser, Michael Harms, Helen Lavretsky, Pauline Maki, Thomas Nichols, Robert Welsh, Essa Yacoub, Eva-Maria Ratai, Steven Arnold, David Salat, Meher Juttukonda Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: Our findings indicate that arterial transit time, as opposed to cerebral blood flow, may be a stronger marker of white matter lesion burden throughout mid-life and old age, implying a unique pathophysiological role of factors elongating arterial blood transit.
		460-02-010. Explainable Brain Age Prediction with White Matter Fiber Orientation Distributions Using Rotation-Equivariant CNNs Chenyang Fan, Robert Sanders, Sharon Naismith, Fernando Calamante, Jinglei Lv The University of Sydney, Sydney, Australia Impact: Rotation-equivariant deep learning with fiber orientation distributions achieves superior brain age prediction accuracy and identifies tract-specific contributions to aging. This explainable framework provides anatomically interpretable insights into white matter aging patterns, advancing methodological approaches for diffusion-based neuroimaging biomarkers.
		460-02-011. Establishing Normative Adult Iron Levels by Brain Region Using Clinically Integrated AI Analytics on QSM Imaging Hashem Zamanian, Stephan Erberich, Bethany Sussman, Eamon Doyle, John Wood, Matthew Borzage Children's Hospital Los Angeles, Los Angeles, United States of America Impact: We establish a clinically integrated approach of QSM brain iron load maps, supporting consistent interpretation across a large adult population. This resource enables earlier detection of abnormal iron levels and opens new opportunities to investigate aging, neurodegenerative, and population-health differences.
		460-02-012. Multinuclear fingerprinting (MNF) in healthy brain aging Anne Adlung, Baptiste Busi, Gonzalo Rodriguez, Zidan Yu, Martijn Cloos, Guillaume Madelin 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 study investigates the ¹H and ²³Na concentrations and relaxation times measured with simultaneous ¹H/²³Na MRF combined with a super-resolution algorithm in the healthy brain over age, and between men and women.
		460-02-013. BrainAGE Modeling from In Vivo T1w MRI in Mice Across the Lifespan with Deep Learning Zongyu Li, Taisheng Wu, Tal Nuriel, Jia Guo Columbia University, New York, United States of America Impact: Delivers a practical mouse BrainAGE biomarker on routine T1-weighted MRI; shows CLIP-style continuous age alignment improves calibration and error over imaging-only models; enables scalable preclinical aging/disease studies and supports future human–mouse translation via a modular, easily deployable pipeline.
		460-02-014. Connected component longitudinal features from white matter hyperintensities for the prediction of cognitive change Sang Hun Chung, Steven Cen, Elizabeth Joe, Vasilis Marmarelis, Helena Chui, Lirong Yan Northwestern University Feinberg School of Medicine, Chicago, United States of America Impact: This abstract proposes new connected component based longitudinal WMH features, highlights important features for future studies, and provides insights into potential improvements in the clinical utility and predictive power of WMH grading for cognitive outcomes.
		460-02-015. Quantitative 7T Deuterium Metabolic Imaging for Assessing Glucose Metabolism in Alzheimer’s Disease Masha Novoselova, Jabrane Karkouri, Orsolya Vittay, John O'Brien, Joshua Kaggie, Tomasz Matys, James Rowe, Chris Rodgers University of Cambridge, Cambridge, United Kingdom Impact: Quantitative 7T deuterium metabolic imaging offers a radiation-free way to map regional glucose metabolism in Alzheimer’s disease, with potential to uncover altered oxidative flux patterns that may guide patient stratification, track disease progression, and enable new research into targeted therapies.
		460-02-016. BrainMap: Extra-Axonal Proton Density Mapping for Brain Aging and Alzheimer's Disease Wanida Chua-anusorn, Hilton Leao Filho, Luisa Wanderly, Paul Clark Impact: BrainMap is a promising approach to quantify brain inflammaging and neurodegeneration in ~10 minutes scan time. This pilot introduces “lifetime-weighted” extra-axonal proton density as a potential inflammatory biomarker of Alzheimer’s disease, and as a potential predictor of biological brain age.