Related Experiment Video
Updated: Jul 7, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Abnormal spontaneous brain activity of white matter in patients with cerebral small vessel disease
Jurong Ding1, Lihong Li1, Mei Yang1
1School 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.
Abstract:
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.
More Related Videos
08:36A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
Published on: March 17, 2016
07:30Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021