Frontiers in Neurology · 2019 · 18 citations · 29 references
MedicineNeurologyNeuroscienceDiagnostic ImagingEpilepsyNeuropathologyAutoimmune Neurological DisordersBrain ImagingEncephalitisEpilepsy ImagingFunctional NeuroimagingNeuroimaging In EpilepsyBasal Ganglia LesionsEncephalitis DiagnosisGlucose Metabolism DisordersGlucose Metabolism ImagingImmune-mediated EncephalitisNeuroimaging InterpretationPositron Emission Tomography FindingsVisual Inspection
Objective: The purpose of this study is to evaluate the potential diagnostic benefit of SPM-based semi-quantitative FDG-PET analysis in autoimmune encephalitis (AE) compared with visual analysis by experienced neuroradiologists using a larger sample size. Methods: This observational retrospective case series study was conducted from a tertiary epilepsy center between May 2014 and March 2017. Healthy individuals without any neurologic or psychiatric diseases were recruited as control. We determined brain FDG-PET abnormal glucose metabolism on medial temporal lobe and basal ganglia using semi-quantitative analysis and compared this method with visual analysis at the same time among patients with autoantibody positive AE. Results: Twenty-eight patients with clinically diagnosed AE and fifty-three healthy individuals without any neurologic or psychiatric diseases were recruited. On the medial temporal lobe and the basal ganglia, semi-quantitative analysis showed consistency with the visual assessment for whom had abnormal metabolism by visual assessment. More importantly, 56% patients on medial temporal lobe and 73% patients on the basal ganglia respectively who were not identified by visual inspection can be detected by semi-quantitative analysis, demonstrating the greater sensitivity of semi-quantitative analysis compared with visual assessment. Significance: This study showed semi-quantitative brain FDG-PET analysis was better than visual analysis in view of observing the abnormal glucose metabolism of patients with autoantibody positive AE. Semi-quantitative FDG-PET analysis appears to be a helpful tool in early diagnosis of patients with AE.
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The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Lingzhong Fan, Hai Li, Junjie Zhuo et al. · Cerebral Cortex · 2016 · 3.2K citations · Full text
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Faciobrachial dystonic seizures precede Lgi1 antibody limbic encephalitis
Sarosh R. Irani, Andrew W. Michell, Bethan Lang et al. · Annals of Neurology · 2010 · 910 citations
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