The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study
The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study
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DOI：
10.3233/xst-221218
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发表时间：
2022-01-01
影响因子：
3
通讯作者：
Nie, Shengdong
中科院分区：
文献类型：
--
作者：
Hu, Ying;Yang, Yifeng;Nie, Shengdong
目的：基于静息状态功能磁共振成像（rs-fMRI）数据，探讨脑小血管疾病（CSVD）患者白质高信号（WMH）严重程度、脑功能活动和认知之间的关系。方法：共纳入103例CSVD患者。采用低频波动幅度（ALFF）、区域均匀性（ReHo）、功能连通性（FC）及其图性质探讨WMH负荷对脑功能活动的影响。我们还研究了不同脑功能特征与认知评估之间是否存在相关性。最后，我们选择疾病相关的rs-fMRI特征，结合集成学习对低WMH负荷和高WMH负荷的CSVD患者进行分类。结果：相对于低WMH负荷组，高WMH负荷组在rs-MRI数据上表现出明显异常的脑功能活动。特定脑区的ALFF和图形属性与CSVD患者的认知评估显著相关。此外，rs-fMRI信号的改变有助于预测CSVD患者WMH的严重程度，总体准确率为92.23%。结论：本研究基于rs-fMRI数据，对CSVD患者不同WMH负荷下脑功能活动的改变模式进行了全面分析和证据，能够准确预测WMH的个体状态。
OBJECTIVE: To investigate relationships between the severity of white matter hyperintensities (WMH), functional brain activity, and cognition in cerebral small vessel disease (CSVD) based on resting-state functional magnetic resonance imaging (rs-fMRI) data.METHODS: A total of 103 subjects with CSVD were included. The amplitude of low frequency fluctuations (ALFF), regional homogeneity (ReHo), functional connectivity (FC) and their graph properties were applied to explore the influence of WMH burden on functional brain activity. We also investigated whether there are correlations between different functional brain characteristics and cognitive assessments. Finally, we selected disease-related rs-fMRI features in combination with ensemble learning to classify CSVD patients with low WMH load and with high WMH load.RESULTS: The high WMH load group demonstrated significantly abnormal functional brain activity based on rs-MRI data, relative to the low WMH load group. ALFF and graph properties in specific brain regions were significantly correlated with patients' cognitive assessments in CSVD. Moreover, altered rs-fMRI signal can help predict the severity of WMH in CSVD patients with an overall accuracy of 92.23%.CONCLUSIONS: This study provided a comprehensive analysis and evidence for a pattern of altered functional brain activity under different WMH load in CSVD based on rs-fMRI data, enabling accurately individual prediction of status of WMH.