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Structural and functional connectivity in cerebral small vessel disease: Mechanistic insights from inherited and sporadic cases

脑小血管疾病的结构和功能连接：遗传性和散发性病例的机制见解

基本信息

批准号：
316074028
负责人：
Professor Dr. Marco Düring
金额：
--
依托单位：
Universitätsklinik für Neurologie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2019-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/316074028?language=en
关键词：
Structural functional connectivity cerebral small

项目摘要

Cerebral small vessel disease (SVD) is a major cause for the loss of independence in the elderly. The main clinical manifestations impacting on activities of daily living are vascular cognitive impairment, disability & gait impairment as well as psychiatric disorders. The mechanisms underlying these symptoms are largely unknown, which might explain the lack of efficient therapies.Disconnection of brain regions has emerged as a disease hallmark. In recent years several candidate mechanisms have been postulated for how SVD might impact on brain connectivity. These mechanisms include microstructural damage, tissue edema, iron deposition and (cortical) microinfarcts. Disentangling the contribution of these mechanisms is essential for the identification of the prime therapeutic target.Recent advances in magnetic resonance image (MRI) acquisition, post-processing and analysis techniques enable to study brain connectivity in vivo. Connectivity assessment can rely on structural or functional measures. Metrics derived from graph theory (e.g. network efficiency) allow quantifying global and regional brain connectivity.We set out to evaluate structural and functional connectivity in SVD. The main objectives are i) to identify and assess the contribution of different mechanisms towards altered brain connectivity, ii) to assess the impact of altered connectivity on clinical symptoms, and iii) to study complex interactions and mediation among connectivity, cognitive impairment, gait impairment and psychiatric symptoms.The project uses a unique approach comprising two large, prospective samples: Patients with an inherited model disease (Munich sample) and subjects from a population-based study (Graz sample). The project will greatly benefit from the data transfer as well as the specific expertise of the two participating groups. Methods will be jointly developed and discussions will be continued over the project duration in the form of regular teleconferences and face-to-face meetings.This project will provide new mechanistic insight into clinically relevant processes of SVD, which will lead to the development of new research and ultimately treatment strategies.

脑小血管病（SVD）是老年人丧失独立能力的主要原因。影响日常生活能力的主要临床表现是血管性认知功能障碍、残疾和步态障碍以及精神障碍。这些症状背后的机制在很大程度上是未知的，这可能解释了缺乏有效的治疗方法。大脑区域的断开已成为疾病的标志。近年来，已经假设了几种候选机制，以了解SVD如何影响大脑连接。这些机制包括微结构损伤、组织水肿、铁沉积和（皮质）微梗死。解开这些机制的贡献是必不可少的识别的主要治疗target.Recent进展，磁共振图像（MRI）的采集，后处理和分析技术，使在体内研究大脑连接。连通性评估可以依靠结构或功能措施。从图论中推导出的神经网络（例如网络效率）可以量化大脑的整体和区域连接。我们开始评估SVD中的结构和功能连接。主要目标是：i）识别和评估不同机制对大脑连接改变的贡献，ii）评估连接改变对临床症状的影响，iii）研究连接、认知障碍、步态障碍和精神症状之间的复杂相互作用和中介作用。该项目使用了一种独特的方法，包括两个大型前瞻性样本：遗传性模型疾病患者（慕尼黑样本）和基于人群的研究受试者（格拉兹样本）。该项目将大大受益于数据传输以及两个参与小组的具体专门知识。在项目期间，双方将通过定期电话会议和面对面会议的形式共同开发方法并继续进行讨论。该项目将为SVD的临床相关过程提供新的机制见解，这将导致新的研究和最终治疗策略的发展。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer’s Disease

DOI：
10.3389/fpsyt.2020.00360
发表时间：
2020-05
期刊：
Frontiers in Psychiatry
影响因子：
4.7
作者：
Fabian Wagner;M. Duering;B. Gesierich;C. Enzinger;S. Ropele;P. Dal-Bianco;Florian Mayer;R. Schmidt;M. Koini
通讯作者：
Fabian Wagner;M. Duering;B. Gesierich;C. Enzinger;S. Ropele;P. Dal-Bianco;Florian Mayer;R. Schmidt;M. Koini

Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease