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Prediction of Brain Age in Children With Rolandic Epilepsy by Machine Learning Based on fMRI

Prediction of Brain Age in Children With Rolandic Epilepsy by Machine Learning Based on fMRI

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000032984
Enrollment
Unknown
Registered
2020-05-17
Start date
2020-06-01
Completion date
Unknown
Last updated
2020-05-18

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

Conditions

Rolandic epilepsy

Interventions

Rolandic epilepsy group:Nil
Normal control group:Nil

Sponsors

Affiliated Hospital of Zunyi Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
6 Years to 18 Years

Inclusion criteria

Inclusion criteria: Children with RE were diagnosed by pediatric neurologists and visited pediatric clinic of our hospital during the study period will be included.

Exclusion criteria

Exclusion criteria: (1)Epilepsy caused by a progressive brain disorder (tumor, neurodegenerative disorder); (2)History of head trauma and surgery; (3)Vital organ failure; (4)MRI contraindications, claustrophobia and serious MRI artifacts.

Design outcomes

Primary

MeasureTime frame
brain age;

Countries

China

Contacts

Public ContactHeng Liu

Affiliated Hospital of Zunyi Medical University

zmcliuh@163.com+86 13595235604

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 15, 2026