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轻度认知障碍人群中白质高信号对脑磁图功率谱的影响。

The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment.

作者信息

Torres-Simon Lucia, Cuesta Pablo, Del Cerro-Leon Alberto, Chino Brenda, Orozco Lucia H, Marsh Elisabeth B, Gil Pedro, Maestu Fernando

机构信息

Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, Spain.

Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, Spain.

出版信息

Front Hum Neurosci. 2023 Feb 15;17:1068216. doi: 10.3389/fnhum.2023.1068216. eCollection 2023.

Abstract

Cerebrovascular disease is responsible for up to 20% of cases of dementia worldwide, but also it is a major comorbid contributor to the progression of other neurodegenerative diseases, like Alzheimer's disease. White matter hyperintensities (WMH) are the most prevalent imaging marker in cerebrovascular disease. The presence and progression of WMH in the brain have been associated with general cognitive impairment and the risk to develop all types of dementia. The aim of this piece of work is the assessment of brain functional differences in an MCI population based on the WMH volume. One-hundred and twenty-nine individuals with mild cognitive impairment (MCI) underwent a neuropsychological evaluation, MRI assessment (T1 and Flair), and MEG recordings (5 min of eyes closed resting state). Those participants were further classified into vascular MCI (vMCI; = 61, mean age 75 ± 4 years, 35 females) or non-vascular MCI (nvMCI; = 56, mean age 72 ± 5 years, 36 females) according to their WMH total volume, assessed with an automatic detection toolbox, LST (SPM12). We used a completely data-driven approach to evaluate the differences in the power spectra between the groups. Interestingly, three clusters emerged: One cluster with widespread larger theta power and two clusters located in both temporal regions with smaller beta power for vMCI compared to nvMCI. Those power signatures were also associated with cognitive performance and hippocampal volume. Early identification and classification of dementia pathogenesis is a crucially important goal for the search for more effective management approaches. These findings could help to understand and try to palliate the contribution of WMH to particular symptoms in mixed dementia progress.

摘要

脑血管疾病在全球范围内导致了高达20%的痴呆病例,同时它也是其他神经退行性疾病(如阿尔茨海默病)进展的主要合并症因素。脑白质高信号(WMH)是脑血管疾病中最常见的影像学标志物。大脑中WMH的存在和进展与一般认知障碍以及患各种痴呆症的风险相关。这项工作的目的是基于WMH体积评估轻度认知障碍(MCI)人群的脑功能差异。129名轻度认知障碍(MCI)患者接受了神经心理学评估、MRI评估(T1和Flair)以及脑磁图记录(闭眼静息状态5分钟)。根据使用自动检测工具箱LST(SPM12)评估的WMH总体积,将这些参与者进一步分为血管性MCI(vMCI;n = 61,平均年龄75±4岁,35名女性)或非血管性MCI(nvMCI;n = 56,平均年龄72±5岁,36名女性)。我们采用完全数据驱动的方法来评估两组之间功率谱的差异。有趣的是,出现了三个聚类:一个聚类具有广泛更大的θ功率,另外两个聚类位于两个颞叶区域,与nvMCI相比,vMCI的β功率较小。这些功率特征也与认知表现和海马体积相关。痴呆症发病机制的早期识别和分类是寻求更有效管理方法的至关重要的目标。这些发现有助于理解并尝试减轻WMH对混合性痴呆进展中特定症状的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e74a/9977191/94c3b751b667/fnhum-17-1068216-g0001.jpg

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