TrialBridgeNCT07660263
Development of a Genomics-based Multimodal Prediction Model for Post-stroke Vascular Dementia
Recruiting · Not specified · Seyoung Shin · registry updated 2026-07-29
Inclusion and exclusion lines below are quoted from ClinicalTrials.gov. No match score is shown, because a score needs a person's age, biomarkers, and treatment dates. Confirm the record with the study team.
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.
Inclusion
- 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.
Exclusion
- Healthy Control Group:
- Current severe psychiatric disorders that may affect cognitive function (e.g., major depression, schizophrenia) or use of related medications.
- Strong family history of hereditary cerebrovascular disorders (e.g., CADASIL).
- Severe medical illness considered inappropriate for study participation.
- Any condition that, in the opinion of the investigator, would make participation unsuitable.
- Stroke Patient Group: