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The integrity of the neuronal networks underlying relational memory as a predictor of post-surgical memory outcome in patients with mesial temporal lobe epilepsy: a multimodal neuroimaging approach

关系记忆基础神经网络的完整性作为内侧颞叶癫痫患者术后记忆结果的预测因子：多模式神经影像学方法

基本信息

批准号：
198734710
负责人：
Privatdozentin Dr. Cornelia McCormick
金额：
--
依托单位：
Klinik für Neurodegenerative Erkrankungen und Gerontopsychiatrie
依托单位国家：
德国
项目类别：
Research Fellowships
财政年份：
2011
资助国家：
德国
起止时间：
2010-12-31 至 2013-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/198734710?language=en
关键词：
integrity neuronal networks underlying relational

项目摘要

Mesial temporal lobe epilepsy (mTLE) is a common neurological disorder characterized by recurrent seizures originating in the mesial temporal lobe (MTL). One third of mTLE patients are resistant to pharmacotherapy and benefit from surgical removal of the MTL. However, the MTL plays a key role in relational memory, a form of memory responsible for our ability to remember association-rich information. Post-surgical memory decline is a major problem following MTL removal, and reliable predictors of memory outcome after surgery are missing. Current techniques for assessing post-surgical outcome focus exclusively on the MTL, which is insufficient as they do not consider important neuronal network interactions with non-MTL brain structures.The main goal of this project is the development of reliable post-surgical predictors that explicitly consider large-scale neuronal network interactions beyond the MTL. To unravel the spatiotemporal characteristics of the brain-wide relational memory network in healthy controls and how mTLE affects this network, we will combine complementary state-of-the-art brain imaging techniques (i.e. fMRI, DTI, T2 relaxometry, EEG and intracranial EEG). We will then examine how the integrity level of this complex network predicts post-surgical memory outcome. We expect that patients with normal distributed relational memory networks are at greater risk of post-surgical memory decline than patients who have developed compensatory mechanisms to process relational information.In sum, the applied aim of this project is to help clinicians predict the risk of memory decline after MTL resection. Moreover, I emphasize that the proposed project will offer new insights into both the fundamental understanding of memory processes, and the question of how the underlying neuronal network changes when a key structure, the MTL, is damaged. This is important not only for mTLE but for many other neurological and psychiatric diseases in which the MTL is affected.

内侧颞叶癫痫（mTLE）是一种常见的神经系统疾病，其特征在于起源于内侧颞叶（MTL）的反复发作。三分之一的mTLE患者对药物治疗有抵抗力，并从MTL的手术切除中获益。然而，MTL在关系记忆中起着关键作用，关系记忆是一种记忆形式，负责我们记忆联想丰富信息的能力。手术后记忆力下降是MTL去除后的主要问题，并且手术后记忆结果的可靠预测因子缺失。目前的技术用于评估手术后的结果只集中在MTL，这是不够的，因为他们不考虑重要的神经网络与非MTL的大脑结构的相互作用，这个项目的主要目标是可靠的术后预测，明确考虑大规模的神经网络的相互作用超出了MTL的发展。为了揭示健康对照组全脑关系记忆网络的时空特征以及mTLE如何影响该网络，我们将联合收割机结合最先进的脑成像技术（即fMRI，DTI，T2弛豫，EEG和颅内EEG）。然后，我们将研究这个复杂网络的完整性水平如何预测手术后的记忆结果。我们预期，具有正常分布关系记忆网络的患者比具有代偿机制来处理关系信息的患者术后记忆下降的风险更大。总之，本项目的应用目的是帮助临床医生预测MTL切除术后记忆下降的风险。此外，我强调，拟议中的项目将提供新的见解到记忆过程的基本理解，以及当一个关键结构，MTL，受损时，底层神经元网络如何变化的问题。这不仅对mTLE很重要，而且对MTL受到影响的许多其他神经和精神疾病也很重要。