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

The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment.
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DOI:
10.3389/fnhum.2023.1068216
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发表时间:
2023
影响因子:
2.9
通讯作者:
Maestu, Fernando
Maestu, Fernando
中科院分区:
医学3区
文献类型:
--
作者:
Torres-Simon, Lucia;Cuesta, Pablo;del Cerro-Leon, Alberto;Chino, Brenda;Orozco, Lucia H.;Marsh, Elisabeth B.;Gil, Pedro;Maestu, Fernando

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脑血管疾病是全球高达20%的痴呆症病例的原因,但它也是其他神经退行性疾病(如阿尔茨海默病)进展的主要共病因素。白色高信号(WMH)是脑血管疾病最常见的影像学标志。大脑中WMH的存在和进展与一般认知障碍和发展所有类型痴呆症的风险有关。这项工作的目的是评估大脑功能差异MCI人口的基础上WMH量。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)和MEG记录(5分钟闭眼静息状态)。这些参与者根据其WMH总体积进一步分为血管MCI(vMCI; n = 61,平均年龄75 ± 4岁,35名女性)或非血管MCI(nvMCI; n = 56,平均年龄72 ± 5岁,36名女性),使用自动检测工具箱LST(SPM 12)进行评估。我们使用完全数据驱动的方法来评估各组之间功率谱的差异。有趣的是,出现了三个集群:一个集群具有广泛的较大的θ功率,两个集群位于两个颞区,与nvMCI相比,vMCI具有较小的β功率。这些功率信号还与认知能力和海马体积相关。痴呆发病机制的早期识别和分类是寻找更有效的管理方法的一个至关重要的目标。这些发现可能有助于理解并试图减轻WMH对混合性痴呆进展中特定症状的贡献。
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; n = 61, mean age 75 ± 4 years, 35 females) or non-vascular MCI (nvMCI; n = 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.
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