Evidence map›Paper›PMID 41737538›Full record

ArticleInternational journal of general medicine2026

Association Between Cognitive Impairment and Multimodal MRI Markers in Patients with Cerebral Microbleeds: A Retrospective Case-Control Study.

Peiqing Zhuang, Jiyang Liu, Xuehua Cai, Biyu Wu

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Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Peiqing ZhuangDepartment of Medical Imaging, Quanzhou First Hospital, Quanzhou First Hospital, Quanzhou, Fujian, 362000, People's Republic of China.
Jiyang LiuQuanzhou First Hospital, Quanzhou, Fujian, 362000, People's Republic of China.
Xuehua CaiQuanzhou First Hospital, Quanzhou, Fujian, 362000, People's Republic of China.
Biyu WuQuanzhou First Hospital, Quanzhou, Fujian, 362000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between cognitive impairment and multimodal magnetic resonance imaging (MRI) markers in patients with cerebral microbleeds (CMBs), and to identify imaging predictors of CMB-related cognitive dysfunction. Methods: This retrospective case-control study included 71 patients with CMBs confirmed by MRI between August 2022 and February 2024 and 65 age-matched healthy controls. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). All participants underwent multimodal MRI, including susceptibility-weighted imaging (SWI) for CMB detection and diffusion tensor imaging (DTI) for quantitative assessment of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) in predefined brain regions. Spearman correlation analysis was performed to evaluate associations between CMB burden, DTI parameters, and cognitive scores. Multivariate linear regression analysis was used to identify independent risk factors for cognitive impairment. Results: Compared with controls, patients with CMBs had significantly lower MoCA scores and higher CMB burden (both P < 0.05). FA values in the frontal-temporal lobe, parietal lobe, and basal ganglia were significantly reduced, while ADC values were increased (all P < 0.05). CMB number was negatively correlated with MoCA scores (r = -0.643, P < 0.001). Decreased FA and increased ADC in the frontal-temporal lobe and basal ganglia were significantly associated with cognitive decline. Regression analysis showed that CMB burden ≥10, reduced FA, elevated ADC, and basal ganglia involvement were independent risk factors for cognitive impairment. Conclusion: Cognitive impairment in CMB patients is closely associated with lesion burden and microstructural white matter alterations detected by multimodal MRI. These imaging markers may facilitate early risk stratification and targeted monitoring, although longitudinal validation is warranted.

Indexed as

apparent diffusion coefficientcerebral microbleedscognitive impairmentdiffusion tensor imagingfractional anisotropymultimodal mri

Identifiers

PMID41737538
PMCPMC12927721

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