Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Advanced Microstructural Imaging of White Matter and Traumatic Brain Injury

Advanced Microstructural Imaging of White Matter and Traumatic Brain Injury

Digital Poster

Neuro B

Tuesday, 12 May 2026

Digital Posters Row D

14:35 - 15:30

Session Number: 463-04

No CME/CE Credit

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This poster session brings together contributions focused on advanced MRI approaches to investigate brain microstructure, with a strong emphasis on white matter and a significant representation of traumatic brain injury (TBI). The presented works cover a broad range of quantitative and multimodal imaging techniques, including diffusion MRI, myelin-sensitive imaging, susceptibility-based methods, ultra-high-field MRI, and emerging microstructural models. Beyond TBI, the session also highlights methodological developments and applications across various neurological and systemic conditions, offering complementary insights into tissue organization, connectivity, and brain vulnerability. Overall, the session illustrates how microstructural imaging advances our understanding of white matter architecture and injury-related brain alterations in both research and clinical contexts.

Skill Level: Intermediate

		463-04-001. Improved Sensitivity to Axonal Injury in Chronic TBI Using Correlational Tractography Sean Li, Jonghye Woo Cornell University, Ithaca, United States of America Impact: Tract-focused diffusion MRI reveals subtle but functionally meaningful axonal injury that standard analyses overlook. These measures may improve clinical evaluation of chronic TBI by identifying patients with persistent neural injury who remain at risk for cognitive decline.
		463-04-002. Region-Specific Default Mode Network Connectivity Alterations in Traumatic Brain Injury: A Resting-State fMRI Analysis Siddharth Singh, Durgesh Dwivedi, S Senthil Kumaran, BV Rathish Kumar, Anit Parihar, Anil Chandra, Bal Ojha, Chhitij Srivastava, Shailendra Tripathi, Sudhir Pathak King George's Medical University, Lucknow, India Impact: Region-specific default mode network connectivity disruptions, most pronounced as posterior cingulate cortex (PCC) hypoconnectivity and mPFC cluster instability, provide quantitative neuroimaging biomarkers for mild traumatic brain injury (TBI). These metrics strengthen neuroradiological assessment and clinically relevant network-based prognostication in TBI.
		463-04-003. Matched White Matter Hyperintensity and Quantitative Susceptibility Analysis of Traumatic Brain Injury Ash Rodgers, Hashem Zamanian, Hannah Wiseman, Joseph Liu, Bethany Sussman, Matthew Borzage, Eamon Doyle University of Southern California, Los Angeles, United States of America Impact: This work demonstrates a relationship between cognitive outcomes and quantitative measures of WMH and QSM. It also provides future research directions involving TBI, WMH, and QSM.
		463-04-004. Cerebellar Tonsil Descent and Persistence of Cognitive and Balance Deficits and Headache after Mild Traumatic Brain Injury Cheryl Hightower, Justin Sigmund, Alan Rodriguez, Priya Santhanam, Travis Snyder Touro University Nevada, United States of America Impact: Cerebellar tonsil descent (TD) on routine MRI weakly but significantly predicts persistent balance and cognitive deficits, not headaches, after mild TBI (mTBI) in adults. This has implications for age-specific post-concussive care.
		463-04-005. Grayout signs seen in the brain after mild traumatic injury using divided subtracted inversion recovery sequences Paul Condron, Daniel Cornfeld, Gil Newburn, Maryam Tayebi, Eryn Kwon, Miriam Scadeng, Mark Bydder, Samantha Holdsworth, Graeme Bydder Mātai Medical Research Institute, Gisborne, New Zealand Impact: Grayout signs in which there is loss of contrast were seen in the thalami and red nuceli in five patients with symptoms after mild traumatic brain injury. No abnormality was seen on T₂-FLAIR images or in normal controls.
		463-04-006. Identifying differences in perivascular spaces and cortical thickness in traumatic brain injury at 7T Jacey Auger, Jason Reich, Kristen Dams-O'Connor, Gaurav Verma, Bradley Delman, Madeline Fields, Lara Marcuse, Priti Balchandani, Erin MacMillan, Rebecca Feldman University of British Columbia, Vancouver, Canada Impact: This work focuses on exploring potential biomarkers of epilepsy in the brain following traumatic brain injury. Differences in perivascular spaces and cortical thickness could correlate to the development of epilepsy following traumatic brain injury.
		463-04-007. Resting-state fMRI Brain Entropy as a marker of brain activation complexity in Mild Traumatic Brain Injury Xingye Chen, Alaleh Alivar, Soroush Arabshahi, Steven Flanagan, Sohae Chung, Yvonne Lui New York University Grossman School of Medicine, New York, United States of America Impact: Resting-state fMRI brain entropy shows differences in mTBI, even when conventional MRI appears normal. This suggests entropy may serve as a noninvasive biomarker to quantify the processing efficiency in the mTBI brain.
		463-04-008. Reduced Temporal Coherence Linked to Cognitive Impairment After Mild Traumatic Brain Injury Li Jiang, Ze Wang, Xiao Liang, Steven Roys, Rosy Linda Njonkou Tchoquess, Prashant Raghavan Raghavan, Rao Gullapalli, Jiachen Zhuo University of Maryland School of Medicine, Baltimore, United States of America Impact: These findings highlight disrupted functional integration after mTBI and demonstrate the potential of Temporal Coherence Mapping as a sensitive tool for diagnosis and monitoring.
		463-04-009. 7T MRI Analysis of Idiopathic Intracranial Hypertension Brain White Matter Volumes, Optic Sheath Enlargement and Globe Angles Claudia Kirsch, Gaurav Verma, Priti Balchandani Yale School of Medicine, Department of Radiology & Biomedical Imaging, New Haven, United States of America Impact: Quantitative correlations between large BMI, increased white matter volumes and papilledema provides insight into the etiology of idiopathic intracranial hypertension. Results provide novel imaging biomarkers for monitoring disease and suggest future research should target therapies targeting volume-based structural changes.
		463-04-010. Investigating the relationship between axon microstructure and sodium ion signal using 1H diffusion MRI and 23Na-MRI Alaleh Alivar, Santiago Coelho, Sohae Chung, Ying-Chia Lin, Mary Bruno, Justin Quimbo, Georg Schramm, Els Fieremans, Dmitry Novikov, Yongxian Qian, Fernando Boada, Yvonne Lui 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: Pilot data show sodium and dMRI provide complementary data on WM cellular changes. This joint assessment helps clarify origins of ²³Na-MRI signal and its link to axon microstructure, laying groundwork to truly parse intracellular and extracellular sodium in future studies.
		463-04-011. Towards Unbiased Quantitative Myelin Imaging: Regularization-Free MWF Estimation and Uncertainty Quantification Martin Kobe, Tony Stoecker, Hendrik Paasche Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany Impact: Regularization-free global search inversion of multi-echo spin-echo data enables bias-free myelin water quantification with voxel-wise uncertainty derived from the problem’s ill-posedness, supporting clinical interpretation and systematic evaluation of preprocessing effects such as denoising or Gibbs correction on quantitative myelin metrics
		463-04-012. Insights into brain energy-microstructure relationship through MRI-derived brain soma density maps Manuela Carriero, Alessandra Caporale, Davide Di Censo, Elizabeth Fear, Fabrizio Fasano, DOMENICO ZACA', Ian Driver, Hannah Chandler, Carolyn McNabb, Michael Germuska, Emma Biondetti, Antonio Chiarelli, Marco Palombo, Richard Wise University 'G.d'Annunzio' of Chieti-Pescara, Chieti, Italy Impact: The identified brain-energy microstructure relationships through MRI-derived soma densities maps, provide both new means for brain investigation and a reference model to characterize the dependence of energy consumption on microstructure in healthy brain.
		463-04-013. Multi-Parametric Quantitative MRI Reveals Altered Brain Microstructure in Adults Following Long-Term High-Altitude Exposure Jia wei, Wenlong Feng, Shipei He, Yiping Du, Haihua Bao Qinghai University Affiliated Hospital, Xining, China Impact: QSM and T₁ provide early detection tools. Rapid multi-parametric imaging reveals co-existing injury/adaptation in high-altitude brain disorders.
		463-04-014. Fiber-specific estimation of intra-voxel T1 relaxation time in the human brain cortex with multidimensional MRI Ilse Peek, Cindy Cleypool, Claire Mackaaij, Annette Van der Toorn, Rick Dijkhuizen, Alexander Leemans, Alberto De Luca University Medical Center Utrecht, Utrecht, Netherlands Impact: We use a multidimensional MRI framework to estimate both the T1 value and orientation of cortical fibers. This approach brings us closer to mapping the microstructure of cortical fibers, which is important for gaining insight into neurodegenerative diseases.
		463-04-015. Rapid, Network-Specific Cortical Thickness Changes after Acute Sleep Deprivation in Medical Staff Cong Peng, Zhen Zeng, Lisha Nie, Hua Yang Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China Impact: Acute sleep deprivation produces rapid, bidirectional structural changes in vulnerable networks detectable with magnetic resonance imaging. These network-specific markers support fatigue-risk management and individualized vulnerability profiling in healthcare workers, and provide a foundation for monitoring and interventional trials