Development of a Genomics-based Multimodal Prediction Model for Post-stroke Vascular Dementia: An Ambidirectional Patient-Control Cohort Study
To collect large-scale multimodal data, including genomic information, neuroimaging, neurophysiological measures, cognitive assessments, and clinical characteristics from stroke survivors and healthy controls. This study aims to develop and validate an integrated prediction model for identifying individuals at high risk of post-stroke vascular dementia and to establish a foundation for precision medicine approaches in stroke-related cognitive impairment.
• Healthy Control Group:
‣ Adults aged 19 years or older.
⁃ Able to be age- and sex-matched to the stroke cohort.
⁃ No history of stroke, transient ischemic attack (TIA), or other central nervous system disorders.
⁃ Cognitive function within the normal range for age and education level based on screening assessments (K-MMSE and K-MoCA).
⁃ Able to understand the study procedures and provide written informed consent.
• Stroke Patient Group:
‣ Adults aged 19 years or older.
⁃ First-ever ischemic or hemorrhagic stroke confirmed by CT or MRI.
⁃ Enrolled in one of the following strata according to time since stroke onset:
∙ Stratum A: 7 days to 3 months after stroke onset. Stratum B: \>3 months to 12 months after stroke onset. Stratum C: \>12 months to 36 months after stroke onset.
∙ \- Able to understand the study procedures and provide written informed consent, or consent provided by a legally authorized representative when applicable.