首页 | 本学科首页   官方微博 | 高级检索  
     


Interictal EEG source connectivity to localize the epileptogenic zone in patients with drug-resistant epilepsy: A machine learning approach
Authors:Georgios Ntolkeras,Navaneethakrishna Makaram,Matteo Bernabei,Aime Cristina De   La   Vega,Jeffrey Bolton,Joseph R. Madsen,Scellig S. D. Stone,Phillip L. Pearl,Christos Papadelis,Ellen P. Grant,Eleonora Tamilia
Affiliation:1. Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA;2. Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA;3. Division of Epilepsy Surgery, Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA;4. Jane and John Justin Institute for Mind Health, Cook Children's Health Care System, Fort Worth, Texas, USA;5. Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Division of Neuroradiology, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA

Abstract:
Keywords:EEG  electrical source imaging  epilepsy surgery  functional connectivity  machine learning
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号