颞叶内侧癫痫海马-眼动区交互受损参与情景记忆障碍的机制研究

伴有海马硬化的颞叶内侧癫痫（MTLE-HS）合并记忆障碍持续且严重，给癫痫患者本人、家庭及社会都带来沉重的负担，但其损伤机制尚不明确。本课题拟针对“MTLE-HS癫痫患者情景记忆障碍的多模态网络机制”这一临床科学问题，引入基于计算机和EyeLink1000眼动仪的自动记忆评估系统，刻画MTLE-HS癫痫患者特征性的视觉探索模态；结合基于多模态神经影像和深部脑电分析的情景记忆加工任务态范式，探究记忆加工和视觉搜索时MTLE-HS癫痫患者大脑神经电生理和神经影像活动特征；进一步提出多模态大尺度脑功能结构网络分析方法，揭示海马-眼动区网络连接和交互机制在颞叶癫痫记忆障碍中的作用；并最终建立数据驱动的MTLE-HS癫痫患者情景记忆障碍模式识别和风险预测模型，实现癫痫合并记忆障碍的早期识别和风险预测，解决上述关键问题还有助于深入理解大脑记忆工作原理和信息处理模式。

Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) always suffered aggregative memory impairment which places a heavy burden on patients themselves, their families and even society. However, the mechanism on MTLE-HS related memory deficits is still unclear. This project aims to investigate multimodal network mechanism of episodic memory impairment in patients with MTLE-HS. Automatic memory assessment system, based on computer and EyeLink 1000 eye tracker, was introduced to explore visual modality in MTLE-HS patients. Meanwhile, task memory paradigm of episodic memory processing, based on multimodal neuroimaging and depth electroencephalogram analysis, was applied to investigate characteristics of electrophysiological and neuroimaging activities during memory processing and visual searching. Moreover, multimodalities large-scale brain functional structure network analysis was adopted to reveal the role of hippocampus- oculomotor control connection and interaction in memory disorders. Based on above, a data-driven model will finally be established to achieve early identification and risk prediction of epilepsy with memory disorders, and also help to understand the working principle of brain memory and information processing.