Recovery Prediction of Motor Function Using Neuroimaging Techniques in Subacute Stroke Patients

Functional MRI and DTI Study for Brain Network Analysis and Recovery Prediction in Subacute Stroke Patients

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT03365596

Enrollment

100

Registered

2017-12-07

Start date

2017-06-01

Completion date

2023-01-26

Last updated

2023-03-08

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

Conditions

Stroke

Keywords

Brain connectivity, Magnetic resonance imaging, Recovery prediction

Brief summary

Prediction of recovery from stroke can assist in the planning of impairment-focused rehabilitation. To achieve better prediction for clinical purposes, this study investigated a new prediction model with low inter-individual variability and high accuracy using neuroimaging techniques.

Interventions

OTHERConventional therapy

According to the status of a patient, optimized therapy will be applied.

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

19 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

* First-ever stroke patients * Unilateral stroke * Subacute stage (less than 4 weeks)

Exclusion criteria

* Major active neurological disease or psychiatric disease * A history of seizure * Metallic implants in their brain

Design outcomes

Primary

Measure	Time frame	Description
Fugl-Meyer Assessment score at 3 months after stroke onset	3 months after stroke onset	Measurement of motor function of upper and lower extremities

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026