KCT0006047Recruiting未知
Predicting Language Outcome after Stroke Based on Machine Learning Using Multivariate Biomarkers of Brain Lesion
Conditions
Trial Snapshot
- Phase
- 未知
- Status
- Recruiting
- Enrollment
- 500
Study Overview
Brief Summary
No summary available.
Study Design
- Study Type
- Observational Study
Eligibility Criteria
- Ages
- 0No Limit to 0No Limit (—)
- Sex
- All
Inclusion Criteria
- •Stroke patients) Patients with speech, cognitive, and motor disorders after diagnosis of stroke
- •Normal adult control group) Those with no impairment in cognitive, language, and motor function, the same gender as the patient group, and similar age
Exclusion Criteria
- •A. In case of disqualification for MRI
- •-There should not be any metal material (orthodontic braces, implants that cannot be removed or metal- pacemakers, screws- in the body due to accidents or surgery). Caries treatment is okay.
- •-Those who have no brain damage, brain history, or neurological disease (normal control only)
- •-People with claustrophobia
- •B. Patient exclusion criteria
- •-Patients with neurological or psychiatric diseases prior to onset of stroke
- •-Patients with unstable vital signs or difficult to maintain rehabilitation treatment due to medical conditions
- •-Patients with difficulty in language evaluation because their language is not Korean
- •-Patients who cannot evaluate motor function (patients who already have proximal drugs due to past amputation or nerve damage
Investigators
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