作者: Marine Blaquiere , Fréderic de Bock , Florence Forbes , Emmanuel L Barbier , Nicola Marchi
DOI: 10.1111/EPI.16886
关键词:
摘要: Objective Improving the identification of epileptogenic zone and associated seizure-spreading regions represents a significant challenge. Innovative brain-imaging modalities tracking neurovascular dynamics during seizures may provide new disease biomarkers. Methods With use multi-parametric magnetic resonance imaging (MRI) analysis at 9.4 Tesla, we examined, elaborated, combined multiple cellular cerebrovascular MRI read-outs as biomarkers seizure-propagating regions. Analyses were performed in an experimental model mesial temporal lobe epilepsy (MTLE) generated by unilateral intra-hippocampal injection kainic acid (KA). Results In ipsilateral hippocampi, tissue T1 blood-brain barrier (BBB) permeability to gadolinium increased 48-72 hours post-KA, compared sham contralateral hippocampi. BBB endured spontaneous focal (4-6 weeks), along with increase apparent diffusion coefficient (ADC) blood volume fraction (BVf). Simultaneously, ADC BVf augmented hippocampus, region characterized electroencephalographic seizure spreading, discrete histological cell modifications, no sclerosis. We next asked whether combining all acquired parameters could deliver criteria classify from hippocampi these conditions over time. To differentiate areas, automatic classification provided maximum accuracy 97.5% (32 regions) post-KA 100% (60 stage. sham, epileptogenic, accuracies 93.1% (42 95% (80 Significance Combining acquisition machine-learning analyses delivers specific identifiers segregate MTLE. The potential clinical value our findings is critically discussed.