Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Neurological Application of Advanced Diffusion and Quantitative MRI

Neurological Application of Advanced Diffusion and Quantitative MRI

Digital Poster

Neuro A

Monday, 11 May 2026

Digital Posters Row D

08:20 - 09:15

Session Number: 363-01

No CME/CE Credit

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This session brings together advances in diffusion and multi‑parametric MRI to probe brain microstructure, fluid dynamics, and network organization. Presentations span methodological innovation, harmonization, and machine learning, alongside applications to neurodegeneration, injury, aging, and cognition, highlighting emerging biomarkers and mechanistic insights into brain health and disease.

		363-01-001. Time-dependent Low b-value Diffusion Tensor Imaging for Mapping Advection- and Diffusion-Resolved CSF Dynamics Yoshitaka Bito, Hiroyuki Kameda, Kinya Ishizaka, Noriyuki Fujima, Yukie Shimizu, Naoya Kinota, Daisuke Kato, Takaaki Fujii, Kenji Hirata, Kohsuke Kudo Hokkaido University, Sappro, Japan Impact: A time-dependent low b-value DTI technique was developed using tensor-based voxel-wise linear fitting with diffusion time, enabling separation of advection and diffusion components in pseudorandom flows to provide deeper insights into CSF dynamics.
		363-01-002. Paired Regional Complementarity in Diffusion MRI Reveals Disease-Specific Microstructural Profiles in PD, MSA, and PSP Abel Tessema, HyungJoon Cho Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of Impact: This study establishes a transparent diffusion MRI-based framework to distinguish PD, PSP, and MSA using interpretable, region-specific diffusion patterns. The approach enhances diagnostic differentiation and clinical interpretability, bridging quantitative imaging and pathophysiological understanding of Parkinsonian syndromes.
		363-01-003. Dual Opposing Changes in ALPS Index and Choroid Plexus Volume Linked to Cognitive Dysfunction in Parkinson’s Disease Xiao Wang, Peng Wu, Jingyun Sha, Chao Zhang Affiliated Hospital of Xuzhou Medical University, Xuzhou, China Impact: This study identifies reduced DTI-ALPS index and enlarged choroid plexus as dual imaging biomarkers for PD cognitive impairment. Combined use improves detection accuracy, offering a clinical stratification tool and highlighting new research directions for brain clearance mechanisms in neurodegenerative diseases.
		363-01-004. Multi-Stage Harmonization for Diffusion MRI: Signal and Statistical Correction in CamCAN Traveling Heads Tanvi Rao University of Cambridge, Cambridge, United Kingdom Impact: Multi-scanner diffusion studies require multi-stage harmonization pipelines. Signal pre-processing alone increased scanner differences. However, combined signal-space and metric-space harmonization achieves 70–81% bias reduction while preserving test–retest reliability, validated using traveling heads. This multi-stage pipeline enables harmonisation in longitudinal CamCAN data.
		363-01-005. Implicit Neural Representations for Direct Multi-Shell Diffusion MRI Signal Estimation and Compression Sanna Persson, Fabian Sinzinger, Christoffer Olsson, Rodrigo Moreno KTH Royal Institute of Technology, Stockholm, Sweden Impact: By learning a continuous, compressible representation of the multi-shell diffusion signal, which generalises across subjects and sampling schemes, the method might reduce scan time burdens and improve downstream analysis reliability.
		363-01-006. Linking physiological phenotypes to brain microstructure in the UK Biobank Daniel Kor, Hossein Rafipoor, Michiel Cottaar, Saad Jbabdi, Karla Miller, Amy Howard Oxford Centre for Integrative Neuroimaging (FMRIB Centre), University of Oxford, Oxford, United Kingdom Impact: This work introduces a model-based framework for linking clinical and physiological measures to brain microstructure. By inferring changes rather than absolute parameters, it enables the use of complex models that defy conventional fitting, supporting population-scale studies of brain–body relationships.
		363-01-007. Connectomic signatures of structural brain network disruption following traumatic brain injury Manoj Kumar, Sujitra Siva, Dhaval Shukla, Sriganesh Kamat, Sandhya M, Srinath S, Sarada Subramanian, Dwarakanath Srinivas, Dinesh Deelchand, Anita Mahadevan, Shantala Hegde, Jitender Saini National Institute of Mental Health and Neuro Sciences, Bengaluru, India Impact: Altered connections concentrated in frontotemporal and subcortical regions in TBI group, reflecting a dose-effect relationship aligned with the typical injury pattern. Structural brain-network connectivity using DTI could be a sensitive method for assessing network-connectivity patterns, aiding in prognostication for TBI.
		363-01-008. Hidden Layers of Learning: SANDI Reveals CA3 Microstructural Plasticity Following Route Learning Katie Smith, Derek Jones, Mia Winter, Bradley Karat, Carolyn McNabb Cardiff University, Cardiff, United Kingdom Impact: Using ultra-strong-gradient diffusion MRI with SANDI and HippUnfold, this study reveals in vivo CA3 micro- and macrostructural plasticity following navigation training. These findings establish a framework to investigate learning-related and pathological hippocampal changes relevant to ageing, rehabilitation, and neurodegenerative disease.
		363-01-009. Permeability of neuron membrane revisited Valerij Kiselev, Jing-Rebecca Li Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany Impact: Water permeability of neuronal membrane is evaluated via reinterpretation of previously performed measurements of water preexchange lifetime inside neurons cultured on glass microbeads. The result is 0.005 mm/s, about 10-fold smaller than that of erythrocytes.
		363-01-010. Multi-Parametric MRI Reveals Glymphatic Dysfunction Associated with Sleep and Cognitive Impairment in PD Imaging Ning Xu, ZhiPiao Gao, GeJuan Zhang, CuiPing Mao, Guangxu Han, QiuJuan Zhang The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: This study reveals evidence of glymphatic disruption in both cognitive and sleep symptoms of PD, suggesting a shared mechanism that may inform future diagnostic and therapeutic strategies.
		363-01-011. Decreased DTI‑ALPS or choroid plexus enlargement? A preliminary MRI study in Early PD and Atypical Parkinsonism Yufan Chen, Yang Zhao, Tao Gong, Yuxin Li, Xiuzheng Yue, guangbin wang Shandong Provincial Hospital Affiliated to Shandong First Medical University (Shandong Provincial Hospital), Jinan, China Impact: We link glymphatic dysfunction severity to specific proteinopathies in early parkinsonism. DTI-ALPS index offers a non-invasive biomarker for differential diagnosis and mechanistic studies. The results reveal proteinopathy-specific glymphatic impairment, enabling targeted therapeutic strategies.
		363-01-012. Mapping of spatiotemporal perfusion deficits in the spinal cord after injury using IVIM MRI Anna Lebret, Simon Levy, Armin Curt, Virginie Callot, Patrick Freund, Maryam Seif University of Zurich, Zurich, Switzerland Impact: This study advances the clinical application of perfusion MRI by demonstrating that IVIM MRI can noninvasively quantify cord microvascular perfusion impairment after spinal cord injury, offering a potential biomarker for monitoring microvascular perfusion changes, guiding therapeutic microvascular strategies.
		363-01-013. Along-the-Tract Analysis to Characterize White Matter Microstructural Changes in Acute Sport-Related Concussion Tayyebeh Ebrahimi, Syed Salman Shahid, Ho-Ching Yang, Timothy Meier, Sujuan Gao, Jaroslaw Harezlak, Christopher Giza, Joshua Goldman, Kevin Guskiewicz, Jason Mihalik, Stephen LaConte, Stefan Duma, Andrew Saykin, Steven Broglio, Michael McCrea, Thomas McAllister, Yu-Chien Wu Indiana University School of Medicine, Indianapolis, United States of America Impact: In this tract-specific analysis using the TRACULA method, specific segments along the tracts demonstrated microstructural differences detected by DTI and NODDI in the concussed athletes.
		363-01-014. OGSE-Derived Microstructural Biomarkers Predict Cognitive Improvement in Idiopathic Normal Pressure Hydrocephalus Che zhang, busharemu reheman, Xinyi Bai, Chen Zhang, Zhang Zhang, Huijie Wei, Thorsten Feiweier, Ningnannan Zhang Tianjin Medical University General Hospital, Tianjin, China Impact: OGSE biomarkers predict iNPH treatment response by quantifying reversible microstructural changes, enabling personalized therapeutic decisions.
		363-01-015. When Axons Falter and Myelin Fades: In Vivo Myelin Fraction Mapping Uncovers Neurovascular Thresholds in Brain Aging Pavani K, Niraj Gupta, Vivek Tiwari Indian Institute of Science Education and Research (IISER) Berhampur, Odisha, India Impact: In vivo myelin fraction mapping establishes Magnetization Transfer Ratio as a sensitive biomarker of neurovascular aging, enabling early detection of microstructural degeneration and bridging vascular pathology with myelin dynamics. This framework supports predictive modeling of brain aging and cerebrovascular vulnerability.
		363-01-016. Deep Learning-Based Automatic Quantification of Venous Engorgement in Spontaneous Intracranial Hypotension Po-Hsun Su, Yen-Feng Wang, Pei-Yun Wu, Shuu-Jiun Wang, Chia-Feng Lu National Yang Ming Chiao Tung University, Taipei, Taiwan Impact: We developed an automatic pipeline for reliable and objective measurement of venous engorgement. This pipeline shows significant potential for further clinical application of spontaneous intracranial hypotension evaluation.