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detection of epileptogenic cortical malformations with surface-based mri morphometry基于地表的mri检测致癫痫的皮质畸形的形态测量学
Detection of Epileptogenic Cortical Malformations with Surface-Based MRI Morphometry 1,2 1,3 1 1 1 Thomas Thesen *, Brian T. Quinn , Chad Carlson , Orrin Devinsky , Jonathan DuBois , Carrie R. 2 1 4 1 1 2 McDonald , Jacqueline French , Richard Leventer , Olga Felsovalyi , Xiuyuan Wang , Eric Halgren , Ruben Kuzniecky1 1 Comprehensive Epilepsy Center, Department of Neurology, New York University, New York, New York, United States of America, 2 Multimodal Imaging Laboratory, University of California San Diego, San Diego, California, United States of America, 3 Center for Neural Science, New York University, New York, New York, United States of America, 4 Royal Children’s Hospital, Murdoch Childrens Research Institute, University of Melbourne, Melbourne, Australia Abstract Magnetic resonance imaging has revolutionized the detection of structural abnormalities in patients with epilepsy. However, many focal abnormalities remain undetected in routine visual inspection. Here we use an automated, surface- based method for quantifying morphometric features related to epileptogenic cortical malformations to detect abnormal cortical thickness and blurred gray-white matter boundaries. Using MRI morphometry at 3T with surface-based spherical averaging techniques that precisely align anatomical structures between individual brains, we compared single patients with known lesions to a large normal control group to detect clusters of abnormal cortical thickness, gray-white matter contrast, local gyrification, sulcal depth, jacobian distance and curvature. To assess t
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