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Updated: Sep 13, 2026
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Published on: November 27, 2019
Imaging marker-specific associations between cerebral small vessel disease and depression: A systematic review and
Ziyuan Yang1, Yandan Shi2, Jiayu Wu1
1School of Medical Technology and Artificial Intelligence, Youjiang Medical University for Nationalities, 533000 Baise, China; Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000 Baise, China.
Background:
Cerebral small vessel disease (CSVD) may contribute to depression, but the magnitude and consistency of this association across different CSVD markers, depression subtypes and population groups have not been fully quantified.
Methods:
PubMed, Embase, Cochrane Library and Web of Science were searched up to March 2026. Studies reporting multivariable-adjusted effect estimates for CSVD imaging markers and depression were included. A random-effects model was used to pool odds ratio (OR) with 95% confidence interval (CI). Subgroup analyses, sensitivity analyses and publication bias tests were performed.
Results:
CSVD was significantly associated with depression (pooled OR = 1.66; 95% CI: 1.48-1.87). Positive associations were observed for composite CSVD burden scores (OR = 2.62) and across individual imaging markers, including white matter hyperintensities (WMH, OR = 1.40), enlarged perivascular spaces (EPVS, OR = 1.74), and cerebral microbleeds (CMB, OR = 2.06). In contrast, lacunar infarcts (LI) showed no significant association (OR = 1.25; p = 0.344). Subgroup analyses showed variations in the pooled associations across different populations and depression subtypes. The pooled OR was 2.17 in Asian populations and 1.39 in non-Asian populations. For depression subtypes, the pooled OR was 2.00 for post-stroke depression (PSD) and 1.44 for incident depression. Sensitivity analyses confirmed the robustness of the findings.
Conclusion:
CSVD is robustly associated with depression, with the magnitude of this association varying by CSVD imaging markers, population groups and depression types. These findings may have potential implications for recognizing depressive symptoms in individuals with CSVD. However, given the observational nature of the available evidence, the temporal and causal relationship between CSVD and depression remains uncertain, and a potentially bidirectional association cannot be excluded. Future longitudinal studies with standardized imaging protocols and depression assessments are warranted.
