Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Tractography Applications

Digital Poster

Diffusion

Tuesday, 12 May 2026

Digital Posters Row F

16:00 - 16:55

Session Number: 465-05

No CME/CE Credit

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This digital poster session features clinical and neuroscientific applications of diffusion MRI tractography. Topics include presurgical mapping, characterization of white matter changes in neurological and psychiatric disorders, longitudinal studies of brain development and aging, and connectome-based analyses.

		465-05-001. Mapping Anatomy to the Corticocortical Connectome Yee Fan Tan, Khoi Huynh, Sahar Ahmad, Pew-Thian Yap University of North Carolina at Chapel Hill, Chapel Hill, United States of America Impact: Our work shows white matter pathways can be reconstructed from anatomical MRI and cortical geometry. By reducing reliance on gyral-sensitive diffusion signals and voxelwise streamline propagation, this provides a complementary route for more complete, anatomically consistent corticocortical mapping.
		465-05-002. Localizing DTI and NODDI Associations with Brain Amyloid and Tau Pathology Along White Matter Tracts Kenny Liou, Yixue Feng, Bramsh Chandio, Sophia Thomopoulos, Julio Villalon Reina, Iyad Ba Gari, Jonathan Alibrando, Hannah Yoo, Yuhan Shuai, Sasha Chehrzadeh, Clifford Jack Jr., Michael Weiner, Talia Nir, Neda Jahanshad, Paul Thompson University of Southern California, Marina del Rey, CA, USA, United States of America Impact: Multishell diffusion MRI models may improve early detection of amyloid and tau pathology in individuals at risk for dementia compared to standard DTI, yet little is known about how Alzheimer’s pathology maps to along-tract profiles of these advanced microstructural metrics.
		465-05-003. Microstructural Health is Severely Compromised upon WMH Load Beyond a Threshold Smarak Das, Neha Yadav, Niraj Gupta, Vivek Tiwari Indian Institute of Science Education and Research (IISER) Berhampur, Odisha, India Impact: Distinct normative of fiber health between individuals with and without WMH will offer an important reference for re-examining how brain microstructure changes with age. This study provides the first comprehensive resource detailing microstructural measures in normally aging individuals.
		465-05-004. Decoding the Influence of Superficial White Matter on Brain Structure–Function Coupling via Explainable GCN Yifei He, Yu Xie, Zhonghua Wan, Yiru Huo, Yoonmi Hong, Ye Wu Nanjing University of Science and Technology, Nanjing, China Impact: This study found that combined SWM+DWM SC input slightly outperforms whole-brain SC in FC prediction, with SWM contributing more than DWM, highlighting SWM’s potential value in studying structure–function coupling.
		465-05-005. Detecting Central Auditory Pathway Alterations in a Mouse Model of Cochlear Synaptopathy Using Ex-vivo Diffusion MRI Katherine Reinshagen, Jingting Yao, Hansol Lee, Eve Smith, Penelope Jeffers, Andreas Eckhard, Elliott Kozin, Sharon Kujawa, Susie Huang Harvard Medical School, Boston, United States of America Impact: Cochlear synaptopathy (CS) is characterized as a disorder of the peripheral auditory system though in-vivo diagnosis remains challenging. Our study suggests that central auditory reorganization may also occur in CS, and that MRI may provide an alternative pathway to diagnosis.
		465-05-006. Automated Fiber Quantification of White Matter Fibers in Children with Sensorineural Hearing Loss NAN SUN, shanshan wang, Yueluan Jiang china medical university, ShenYang, China Impact: Automated Fiber Quantification (AFQ) enables segment-specific localization of white-matter microstructural abnormalities in children with sensorineural hearing loss, offering precise and quantitative imaging biomarkers for understanding neurodevelopmental compensation and predicting cochlear-implantation outcomes.
		465-05-007. Connectome-Based Characterization of the Sleep–Wake Regulatory Network in Narcolepsy Type 1 Francesca Punzetti, Lorenzo Motta, Greta Venturi, Fabio Pizza, Giovanni Sighinolfi, Francesco Biscarini, Martina Gnazzo, Giuseppe Plazzi, Raffaele Lodi, Caterina Tonon IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy Impact: This study provides the first nuclei-level connectomic mapping of the sleep–wake network in narcolepsy type 1, revealing widespread subcortical disconnection. Findings highlight diffusion connectomics as a powerful tool to investigate network-level pathophysiology in sleep–wake disorders.
		465-05-008. A Novel Deep Learning Approach for Mapping White Matter Fiber Pathways in Stroke Patients from Routine Clinical CT Guanlin Huang, Guoqiang Xie, Yijie Li, Dian Sheng, Lauren O’Donnell, Alexandra Golby, Fan Zhang University of Electronic Science and Technology of China, Chengdu, China Impact: We propose a noval CT-based tractography method that enables reconstructing the WM pathways, thereby permitting assessment of tract integrity without the need of dMRI. Assessment of tract integrity can provide valuable auxiliary information to support clinical diagnosis and treatment planning.
		465-05-009. Cortical Thickness and Tractometry Differences in a Large ME/CFS Cohort Andy Liu, Maya Cooper, Hossein Taghavi, Jonathan Lee, Tullia Lieb, Meghan Bell, Marios Georgiadis, Hector Bonilla, Michael Zeineh Stanford Medicine, Stanford, United States of America Impact: Our findings reveal cortical and white matter alterations in ME/CFS, advancing understanding of its neural basis. The specific regions identified may serve as potential imaging biomarkers and guide future investigations linking these changes to clinical symptoms.
		465-05-010. 7T Diffusion Tractography of Normal Knee Nerves: Feasibility and Normative Data Mickaël Mukendi, Bénédicte Delattre, Gian Franco Piredda, David Fereirra Branco, Didier Hannouche, Hicham Bouredoucen, Pierre-Alexandre Poletti, Philippe Tscholl, Sana Boudabbous Geneva University Hospital, Geneva, Switzerland Impact: This study provides the first ultra high-field (7T) reference values for tibial and common fibular nerve diffusion metrics in healthy individuals, establishing a baseline for interpreting peripheral nerve pathology and supporting future research on neuropathic conditions.
		465-05-011. Deep Learning-Enhanced Diffusion MRI Improves Connectome-guided Targeting for SCC DBS in Depression Ha Neul Song, Jaemin Shin, Brian Kopell, Suchandrima Banerjee, Helen Mayberg, Ki Sueng Choi Icahn School of Medicine at Mount Sinai, New York, United States of America Impact: Deep learning-based MR reconstruction enhances the fidelity of diffusion tractography in SCC-DBS target identification, enabling accurate estimation of therapeutic white matter targets without extending scan time. This approach may improve precision and clinical outcomes in connectome-guided neuromodulation for treatment-resistant depression.
		465-05-012. Spinal Cord Changes in Neuropathic Pain Models: A Multi-Component Diffusion MRI Approach SangJin Im, Seokha Jin, HyungJoon Cho Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of Impact: Multi-component diffusion MRI with DTI, NODDI, and tractography in an SCI model shows microstructural and connectivity changes, motivating GM/WM segmentation and histology correlation. Findings may guide biomarkers to stratify injury and monitor treatment, prompting questions on prognosis and pain mechanisms.