首次非诱发性癫痫发作后再发的风险因素研究
摘要
测量分析（如MAP18）显著提高了局灶性皮质发育不良的检出率，新型序列SIRS技术通过神经元活动映射增强了
癫痫灶定位能力，功能磁共振（fMRI）联合机器学习提升了对复发的预测价值。脑电图方面，24小时视频脑电图
（VEEG）和动态脑电图（AEEG）较常规脑电图更敏感，局灶性慢波、睡眠中异常放电等可作为短期复发指标，但
非特异性EEG解读仍存争议。研究表明，睡眠期发作或质量差的患者复发风险显著升高。目前主张整合多模态检查
（MRI、fMRI、EEG）及睡眠评估优化抗癫痫治疗决策，人工智能辅助分析技术可改善诊断效率。未来需构建综合
风险预测模型，强化多学科协作与个性化管理，以平衡干预时机与过度治疗风险，提升患者预后。
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