Development of a Genomics-based Multimodal Prediction Model for Post-stroke Vascular Dementia

Sponsor
Seyoung Shin
Study ID
NCT07660263
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
19 Years - N/A
Healthy Volunteers
Accepted

Study Details

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.

Key Dates

First listed
Jun 22, 2026
Start date
Aug 1, 2026
Status verified
Jun 2026
Primary completion
Dec 31, 2030
Completion
Dec 31, 2030

Study Design

Enrollment
300 participants (estimated)

Arms

  • Arm: Stroke patients
    Adults aged 19 years or older with first-ever ischemic or hemorrhagic stroke. Participants may be enrolled during the subacute or chronic stage after stroke and will undergo genomic, neuroimaging, neurophysiological, cognitive, and functional assessments with longitudinal follow-up for up to 36 months.
  • Arm: Healthy controls
    Cognitively normal adults aged 19 years or older without a history of stroke, transient ischemic attack, or other major central nervous system disorders. Participants will undergo genomic, neuroimaging, neurophysiological, cognitive, and functional assessments and follow-up evaluations.

Primary Outcome Measure

Mini Mental Status Examination [ Time Frame: Baseline to 36 months ]

Central Contacts

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