ArticleBMC medical imaging2022
Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease.
Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 21 citations in OpenAlex.
- Impaired white matter functional networks topology changed with white matter hyperintensities burden and relationship to cognition.Brain imaging and behavior · 2026Article
- Tai Chi modulating multimodal connectivity patterns and cognitive function in cerebral small vessel disease.GeroScience · 2026Article
- Molecular pathways in vascular cognitive impairment and dementia: focus on synaptic plasticity and epigenetic modifications.Frontiers in aging neuroscience · 2026Review
- Article
- The Interaction Between Cognitive Abilities and White Matter Hyperintensity Phenotypes: A Novel Perspective on Bidirectional Causality.Brain and behavior · 2025Article
- Article
- Aberrant brain structural-functional connectivity coupling associated with cognitive dysfunction in different cerebral small vessel disease burdens.CNS neuroscience & therapeutics · 2024Article
- Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease.BMC medical imaging · 2024Article
- Article
- Subthreshold amyloid deposition, cerebral small vessel disease, and functional brain network disruption in delayed cognitive decline after stroke.Frontiers in aging neuroscience · 2024Article
- Decreased Local Specialization of Brain Structural Networks Associated with Cognitive Dysfuntion Revealed by Probabilistic Diffusion Tractography for Different Cerebral Small Vessel Disease Burdens.Molecular neurobiology · 2024Article
- Long-range connections damage in white matter hyperintensities affects information processing speed.Brain communications · 2024Article
- Deep medullary veins as an important imaging indicator of poor prognosis in acute ischemic stroke: a retrospective cohort survey.Quantitative imaging in medicine and surgery · 2023Article
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8 authors at 7 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundWhite matter hyperintensity (WMH) is one of the typical neuroimaging manifestations of cerebral small vessel disease (CSVD), and the WMH correlates closely to cognitive impairment (CI). CSVD patients with WMH own altered topological properties of brain functional network, which is a possible mechanism that leads to CI. This study aims to identify differences in the characteristics of some brain functional network among patients with different grades of WMH and estimates the correlations between these different brain functional network characteristics and cognitive assessment scores.
methods110 CSVD patients underwent 3.0 T Magnetic resonance imaging scans and neuropsychological cognitive assessments. WMH of each participant was graded on the basis of Fazekas grade scale and was divided into two groups: (A) WMH score of 1-2 points (n = 64), (B) WMH score of 3-6 points (n = 46). Topological indexes of brain functional network were analyzed using graph-theoretical method. T-test and Mann-Whitney U test was used to compare the differences in topological properties of brain functional network between groups. Partial correlation analysis was applied to explore the relationship between different topological properties of brain functional networks and overall cognitive function.
resultsPatients with high WMH scores exhibited decreased clustering coefficient values, global and local network efficiency along with increased shortest path length on whole brain level as well as decreased nodal efficiency in some brain regions on nodal level (p < 0.05). Nodal efficiency in the left lingual gyrus was significantly positively correlated with patients' total Montreal Cognitive Assessment (MoCA) scores (p < 0.05). No significant difference was found between two groups on the aspect of total MoCA and Mini-mental State Examination (MMSE) scores (p > 0.05).
conclusionTherefore, we come to conclusions that patients with high WMH scores showed less optimized small-world networks compared to patients with low WMH scores. Global and local network efficiency on the whole-brain level, as well as nodal efficiency in certain brain regions on the nodal level, can be viewed as markers to reflect the course of WMH.
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