Ding Jurong, Li Lihong, Yang Mei, Yu Mengjie, Ding Xin
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong 643000, PR China.
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong 643000, PR China.
Magn Reson Imaging. 2025 Oct;122:110458. doi: 10.1016/j.mri.2025.110458. Epub 2025 Jul 10.
Cerebral small vessel disease (CSVD) is a nervous system disease caused by small vessel lesions in the brain. The abnormal changes in white matter (WM) function in patients with CSVD remained unclear. Therefore, the purpose of this research was to study the abnormal function of WM in patients with CSVD by measuring the amplitude of low-frequency fluctuations (ALFF). Twenty-three patients with CSVD and 22 healthy controls (HCs), age- and sex-matched, were included. Based on the resting-state functional magnetic resonance imaging (rs-fMRI) data, the ALFF method was used to investigate alterations in spontaneous brain activity in WM between the two groups. The altered ALFF values were extracted to serve as classification features, and the linear support vector machine (SVM) was adopted to identify patients with CSVD. patients with CSVD displayed decreased ALFF values in the body of corpus callosum (BCC) and genu of corpus callosum (GCC) and increased ALFF values in the splenium of corpus callosum (SCC), right posterior corona radiata (PCR.R) and left cingulate gyrus (CGG.L) than HCs. The SVM model achieved an accuracy of 82.22 % and the area under the curve (AUC) was 0.88. This study revealed altered ALFF values of WM in patients with CSVD, which provides evidence for cognitive and gait disorders, as well as brain compensatory mechanisms in patients with CSVD. Our findings suggest that spontaneous brain activity abnormalities in WM may be connected with the pathophysiological mechanism of CSVD, providing potential imaging biomarkers for CSVD diagnosis.
脑小血管病（CSVD）是一种由脑部小血管病变引起的神经系统疾病。CSVD患者白质（WM）功能的异常变化尚不清楚。因此，本研究的目的是通过测量低频波动幅度（ALFF）来研究CSVD患者WM的功能异常。纳入了23例CSVD患者和22例年龄和性别匹配的健康对照者（HCs）。基于静息态功能磁共振成像（rs-fMRI）数据，采用ALFF方法研究两组之间WM中自发脑活动的改变。提取改变后的ALFF值作为分类特征，并采用线性支持向量机（SVM）识别CSVD患者。与HCs相比，CSVD患者胼胝体体部（BCC）和胼胝体膝部（GCC）的ALFF值降低，胼胝体压部（SCC）、右侧放射冠后部（PCR.R）和左侧扣带回（CGG.L）的ALFF值升高。SVM模型的准确率达到82.22%，曲线下面积（AUC）为0.88。本研究揭示了CSVD患者WM的ALFF值改变，为CSVD患者的认知和步态障碍以及脑代偿机制提供了证据。我们的研究结果表明，WM中自发脑活动异常可能与CSVD的病理生理机制有关，为CSVD诊断提供了潜在的影像学生物标志物。
