ISMRM25 - Epilepsy

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Epilepsy

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Epilepsy

Digital Poster

Neuro

Wednesday, 14 May 2025

Exhibition Hall

16:45 - 17:45

Session Number: D-166

No CME/CE Credit

		Computer Number: 145 4111. Molecular Mechanisms Underlying NAA and FDG Uptake Coupling in Temporal Lobe Epilepsy: Insights from Imaging Transcriptomics View Presentation Video J. Li, L. Zhao, H. Huang, Y. Zhao, Y. Li, W. Jin, B. Cai, H. Zhang, M. Zhang, Z. Liang, J. Luo Shanghai Jiao Tong University, Shanghai, China Impact: This study provides insight into the molecular basis of metabolic coupling in temporal lobe epilepsy, specifically examining the relationship between NAA levels and FDG uptake. The findings may shed new light on epileptogenesis and potential therapeutic targets.
		Computer Number: 146 4112. Parallel transmit 7T MRI improves epileptogenic lesion detection compared to circularly polarized 7T MRI View Presentation Video K. Klodowski, M. Zhang, D. Scoffings, J. Jen, T. Cope, C. Rodgers University of Cambridge, Cambridge, United Kingdom Impact: This study confirms that 7T-pTx MRI is more effective for detection of lesions in drug-resistant focal epilepsy patients than CP 7T MRI. We are now seeking funding for a multisite study to prove cost-effectiveness within the NHS epilepsy surgery pathway.
		Computer Number: 147 4113. Preoperative Assessment in Temporal Lobe Epilepsy: Integrating EEG with Cortical Structural and Perfusion Metrics to Identify Cortical Damage Z. LING, C. TING, W. ZHUO, S. YAN, L. QIN, C. BING, T. YUAN General Hospital of Ningxia Medical University, YIN CHUAN, China Impact: This study highlights the extensive cortical damage in HS patients, particularly in the frontal and temporal lobes, guiding early surgical interventions. It enables clinicians to refine preoperative assessments and encourages further research on targeted therapies for improved patient outcomes.
		Computer Number: 148 4114. Diagnostic Value of Hybrid 18F-FDG and 18F-DPA-714 PET/MR in Refractory Epilepsy S. Zhang, B. Xu, J. Lu Xuanwu Hospital Capital Medical University, Beijing, China Impact: Compared to MRI and ¹⁸F-FDG PET/MR, ¹⁸F-DPA-714 PET/MR offers clearer and more precise delineation of lesion borders while maintaining the high positive detection rate, thus providing valuable guidance for preoperative localization.
		Computer Number: 149 4115. Clinical Feasibility of High-Resolution Brain Perfusion Imaging using Deep Learning 3D Arterial Spin Labeling View Presentation Video M. Vidorreta, J. Pfeuffer, L. Martínez-Gálvez, R. Heredia-Padilla, D. Nickel, J. Álvarez-Linera Siemens Healthineers, Madrid, Spain Impact: We show that high-resolution ASL perfusion imaging is feasible in clinical practice and can help detect areas of abnormal perfusion. Deep learning reconstruction techniques can further enhance image resolution and reduce scan times to under 5 minutes without compromising SNR.
		Computer Number: 150 4116. Exercise is Related to Distinctly Larger Brain Volumes in Depressed versus Non-Depressed Populations View Presentation Video S. Garg, S. Meysami, N. Akbari, R. Pompa, T. Nguyen, S. Lee, S. Basar, H. Xu, Y. Chodakiewitz, D. Merrill, D. Durand, S. Hashemi, C. Raji Vigilance Health Imaging Network, Vancouver, Canada Impact: This study highlights the link between physical activity and brain health in individuals with depression, demonstrating that exercise may attenuate volumetric deficits in brain regions, ultimately offering a viable therapeutic strategy to enhance mental well-being and cognitive function.
		Computer Number: 151 4117. TBSS-based Distinguishing of White Matter Microstructural Changes between Temporal Lobe Epilepsy with Normal MRI and Hippocampal Sclerosis Z. LING, T. YUAN, S. YAN, W. ZHUO, L. QIN General Hospital of Ningxia Medical University, YIN CHUAN, China Impact: This study’s findings suggest that TLE-HS and TLE-NL are distinct diseases, potentially guiding more personalized treatment strategies and improving patient outcomes. Future research can further investigate the specific mechanisms underlying these differences to enhance diagnostic accuracy.
		Computer Number: 152 4118. Deep Learning-Based Composite Iterative Reconstruction Algorithm Improves High-Resolution MRI Quality of Hippocampus: A Dual-center Study X. Zhu, J. Shi, J. Ye, W. Huang, W. Xia, Z. Bao Northern Jiangsu People's Hospital, Yangzhou, China Impact: The deep learning-based composite super-resolution reconstruction method improved 3T MRI hippocampal resolution, allowing better visualization of subtle structures crucial for diagnosing conditions like temporal lobe epilepsy and Alzheimer's disease, without increasing scan time.
		Computer Number: 4119. WITHDRAWN
		Computer Number: 153 4120. Multiparametric characterization of hippocampal sclerosis using T1 and T2 normative modeling View Presentation Video V. Ravano, M. E. Caligiuri, M. C. Bonacci, T. Di Noto, L. Bacha, G. F. Piredda, J. Disselhorst, D. Zaca’, N. Golestani, A. Rampinini, I. Balboni, M. Vaneckova, T. Kober, T. Hilbert, B. Maréchal Siemens Healthineers International AG, Lausanne, Switzerland Impact: The study introduces a novel normative model for regional T₁ and T₂, enhancing the characterization of brain microstructure. This approach, assessed on epileptic patients with hippocampal sclerosis, highlights the clinical relevance of combined T₁ and T₂ mapping and laterality analysis.
		Computer Number: 154 4121. Can neural networks support identification of epileptogenic foci in children with suspected focal cortical dysplasia (FCD)? View Presentation Video E. De Vita, M. Ripart, K. Senaurine, A. Knill, Y. J. Li, S. Pujar, H. Cross, M. Z. Tahir, F. Moeller, S. Sudhakar, P. Gaur, K. Mankad, A. Biswas, U. Loebel, A. Chari, M. Tisdall, K. Wagstyl, S. Adler, F. D'Arco Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom Impact: Clinical validation is essential for AI-based Focal Cortical Dysplasia lesion-detection algorithms. A local trade-off between sensitivity and specificity is necessary when selecting an appropriate decision support AI/machine-learning tool.
		Computer Number: 155 4122. 7T Translational Alliance of North America (7TANA) Neuroimaging Protocol Survey – Advancing Best Practices and Toward a Unified Protocol View Presentation Video D. Wang, Y. Qi, K. Sakaie, S. Jones, M. Lowe, J. Liu, A. Henning, D. Paech, J. Moore, V. Magnotta, C. Özütemiz, J. Ellermann, J. Hua, Y. Ge, G. Madelin, S. Chawla, S. Mohan, A. Seifert, P. Balchandani, J. Cramer, I. Ikuta, Y. Zhou, R. Menon, J. Pan, M-L Ho, E. Middlebrooks University of Southern California, Los Angeles, United States Impact: It is possible to develop a common standard protocol through consensus of the 7TANA community, despite the considerable differences across 7T hardware/software platforms. The protocols will be available on 7TANA website (www.7TANA.org) to facilitate the clinical translation of 7T MRI.
		Computer Number: 156 4123. Investigating Neurochemical Alterations in Tuberous Sclerosis Complex (TSC) Using 2D Multi-slice MRSI at 3T View Presentation Video D. K. Senapati, H. J. Zöllner, İ. Özdemir, P. B. Barker, D. Lin The Johns Hopkins University School of Medicine, Baltimore, United States Impact: These findings may help to understand the underlying pathogenesis of brain involvement in TSC, including their relationships to neurological symptoms and cognitive impairment.
		Computer Number: 157 4124. The Relationship Between Hippocampal-Thalamic Volume and Cognition in Temporal Lobe Epilepsy Patients: An Automated Segmentation Techniques. View Presentation Video j. Li, G. Liu, M. Li, W. Huang, J. Zhang Lanzhou University, lanzhou, China Impact: Our study found an association between the thalamus and cognition, providing a new approach for understanding the mechanisms of epilepsy and developing targeted treatment strategies.
		Computer Number: 158 4125. Preliminary Evaluation of an MR Anatomically Guided PET Reconstruction in Epilepsy View Presentation Video Y. Wang, C. Ying, J. Cabello, X. Li, D. Faul, M. Ponsio, H. An Washington University in St Louis, St Louis, United States Impact: This study demonstrates that MR anatomically-guided PET reconstruction using Bowsher CNN increased image sharpness and contrast. Future investigation using a larger cohort is needed to examine the potential clinical utility of MR anatomically-guided PET in diagnosis and diagnostic confidence.
		Computer Number: 159 4126. Quantitative characterization of brain microstructure in Temporal Lobe Epilepsy: comparison with normative T1 atlas View Presentation Video M. C. Bonacci, V. Ravano, I. Sammarra, G. F. Piredda, A. Burrus, D. Zacà, B. Marechal, T. Hilbert, T. Kober, A. Gambardella, M. E. Caligiuri University Magna Graecia, Catanzaro, Italy, Catanzaro, Italy Impact: This study provides first evidence in support of using qMRI alterations as markers of drug-resistance in MTLE. Analysis using normative atlases accounting for age and sex allowed the identification of specific changes both at population and individual level.

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