Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-01-016 ISMRM Abstract

Diffusion MRI–Guided PET Metabolic Network Reveals Distributed and Lateralized Network Dysfunction in MTLE

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Epilepsy
662-01-016 · Advanced Quantitative and Diffusion MRI for Epilepsy: From Lesion Detection to Clinical Translation · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row C
Keywords: Diffusion MRI Graphy theory Mesial temporal lobe epilepsy Metabolic connectivity
Accepted
Jia Ying1,2, Haiqing Zhang3,4, Jiwei Li3,4, Xinyi Ma3,4, Zeyu Zhou1, Wei Liu5, Miao Zhang6, Jie Luo3,4, Chuan Huang1,7
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, United States of America
2Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, United States of America
3National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, China
4School of Biomedical Engineering, Shanghai JiaoTong University, Shanghai, China
5Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
6Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
7Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, United States of America
Presenting Author: Anjali Balaganesh

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References

1. Catana, C., Drzezga, A., Heiss, W.D. and Rosen, B.R., 2012. PET/MRI for neurologic applications. Journal of Nuclear Medicine, 53(12), pp.1916-1925. https://doi.org/10.2967/jnumed.112.105346 [doi]
2. Sui, J., Huster, R., Yu, Q., Segall, J.M. and Calhoun, V.D., 2014. Function–structure associations of the brain: evidence from multimodal connectivity and covariance studies. Neuroimage, 102, pp.11-23. https://doi.org/10.1016/j.neuroimage.2013.09.044 [doi]
3. Bernhardt, B.C., Bonilha, L. and Gross, D.W., 2015. Network analysis for a network disorder: the emerging role of graph theory in the study of epilepsy. Epilepsy & Behavior, 50, pp.162-170. https://doi.org/10.1016/j.yebeh.2015.06.005 [doi]
4. Wang, M., Jiang, J., Yan, Z., Alberts, I., Ge, J., Zhang, H., Zuo, C., Yu, J., Rominger, A., Shi, K. and Alzheimer’s Disease Neuroimaging Initiative, 2020. Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia. European journal of nuclear medicine and molecular imaging, 47(12), pp.2753-2764. https://doi.org/10.1007/s00259-020-04814-x [doi]

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http://echo.ismrm.org/p/ISMRM2026/662-01-016