Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease

Research Cerebral small vessel disease Brain Neuroimaging Magnetic Resonance Imaging White Matter Graph theoretical analysis 3. Good health Functional network 03 medical and health sciences Cognitive impairment Cognition 0302 clinical medicine Cerebral Small Vessel Diseases Medical technology White matter hyperintensity Humans Cognitive Dysfunction R855-855.5
DOI: 10.1186/s12880-022-00769-7 Publication Date: 2022-03-09T14:02:40Z
ABSTRACT
White matter hyperintensity (WMH) is one of the typical neuroimaging manifestations cerebral small vessel disease (CSVD), and WMH correlates closely to cognitive impairment (CI). CSVD patients with own altered topological properties brain functional network, which a possible mechanism that leads CI. This study aims identify differences in characteristics some network among different grades estimates correlations between these assessment scores.110 underwent 3.0 T Magnetic resonance imaging scans neuropsychological assessments. each participant was graded on basis Fazekas grade scale divided into two groups: (A) score 1-2 points (n = 64), (B) 3-6 46). Topological indexes were analyzed using graph-theoretical method. T-test Mann-Whitney U test used compare groups. Partial correlation analysis applied explore relationship networks overall function.Patients high scores exhibited decreased clustering coefficient values, global local efficiency along increased shortest path length whole level as well nodal regions (p < 0.05). Nodal left lingual gyrus significantly positively correlated patients' total Montreal Cognitive Assessment (MoCA) No significant difference found groups aspect MoCA Mini-mental State Examination (MMSE) > 0.05).Therefore, we come conclusions showed less optimized small-world compared low scores. Global whole-brain level, certain can be viewed markers reflect course WMH.
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