Abstract #2963

Multimodal imaging signatures of the epileptogenic zone

Hui Huang¹, Siyu Yuan¹, Miao Zhang², Wei Liu³, Yibo Zhao^4,5, Rong Guo^4,5, Yudu Li^4,5, Lihong Tang¹, Zhi-Pei Liang^4,5, Yao Li¹, and Jie Luo¹

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ³Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁴Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, ⁵Beckman Institute for Advanced Sciences and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States

Synopsis

Accurate detection of the epileptogenic zone for surgical planning often relies on stereo-electroencephalography, which is limited by low spatial sampling. Development of noninvasive brain high resolution imaging to better identify epileptogenic zone is of great value. This study aimed to investigate the imaging signature for detection of epileptogenic zones among features extracted from structural, functional, and metabolic imaging using hybrid PET/MR scanner. Our results highlighted the value of combination between metabolic and functional imaging features.

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