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Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy.

, , , , , , , and . Brain Connect., 10 (1): 39-50 (2020)

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Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data., , , , , , and . ISBI Workshops, page 1-4. IEEE, (2020)Intelligence and cortical thickness in children with complex partial seizures., , , , , , and . NeuroImage, 57 (2): 337-345 (2011)Dynamics of Neuropsychological Testing., , , , and . CogSci, cognitivesciencesociety.org, (2011)Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning., , , , , , , , , and 18 other author(s). Brain Connect., 9 (2): 184-193 (2019)Study of the Relationship Between Ultrasound Strain Indices and Cognitive Decline for Vulnerable Carotid Plaque., , , , , , and . EMBC, page 2088-2091. IEEE, (2020)Estimation of ultrasound strain indices in carotid plaque and correlation to cognitive dysfunction., , , , , , and . EMBC, page 5627-5630. IEEE, (2014)Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter., , , , , and . NeuroImage, 23 (1): 167-174 (2004)Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy., , , , , , , and . Brain Connect., 10 (1): 39-50 (2020)Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project., , , , , , , , , and 17 other author(s). Brain Connect., 9 (2): 174-183 (2019)Neurodevelopmental vulnerability of the corpus callosum to childhood onset localization-related epilepsy., , , , and . NeuroImage, 18 (2): 284-292 (2003)