Skip to content

Research on Prognostic Prediction Model for Stroke Patients Based on Non-invasive Scalp EEG Signals

Research on Prognostic Prediction Model for Stroke Patients Based on Non-invasive Scalp EEG Signals

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600130413
Enrollment
Unknown
Registered
2026-08-19
Start date
2026-09-10
Completion date
Unknown
Last updated
2026-08-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ischemic stroke, hemorrhagic stroke, post-stroke neurological deficit, limb motor dysfunction

Interventions

Normal control group:None

Sponsors

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
All
Age
45 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Stroke patients meet the diagnostic criteria of Chinese Classification of Cerebrovascular Diseases 2019, confirmed as ischemic or hemorrhagic stroke by cranial CT/MRI; healthy volunteers have no cerebrovascular or neurological underlying diseases. 2.Aged 45–80 years old, male and female are eligible. 3.MoCA score ranges from 10 to 26 with acceptable cognition, no severe visual or auditory impairment and fluent communication. 4.Stable vital signs and capable of completing resting and motor-task EEG acquisition. 5.All subjects are fully informed and voluntarily sign informed consent.

Exclusion criteria

Exclusion criteria: 1. Traumatic intracranial hemorrhage or subarachnoid hemorrhage; 2. Combined with other neurological diseases (such as epilepsy, Parkinson's disease, etc.); 3. Severe cardiopulmonary insufficiency (NYHA cardiac function class III-IV); 4. Implanted cardiac pacemaker or defibrillator; 5. Scalp infection or skull defect interfering with EEG acquisition; 6. Prior history of psychiatric disorders (DSM-V diagnosis); 7. Severe hepatic and renal dysfunction (eGFR 3 times the upper limit of normal); 8. Concurrent participation in other interventional clinical trials; 9. Female subjects during pregnancy or lactation; 10. Persistent electrode impedance > 10 kO with no improvement after 3 adjustments; 11. Emergent medical events occurring during data acquisition (e.g., epileptic seizure); 12. Missing rate of key data > 30% (e.g., EEG signal interruption longer than 5 minutes); 13. Motion artifact score (MAQS) >= 4, independently assessed by 3 technicians; 14. Final diagnosis inconsistent with stroke criteria (confirmed by cranial MRI/CT); 15. Incomplete clinical data (lack of imaging report obtained within 24 hours after onset);

Design outcomes

Primary

MeasureTime frame
Accuracy of stroke subtype identification;

Secondary

MeasureTime frame
Baseline cerebral functional assessment;Motor cortex activation evaluation;

Countries

China

Contacts

Public ContactJiang Xiaobing

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

jxb917@126.com+86 189 7133 3721

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Sep 19, 2026