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Pilot Study for a Machine Learning Test for Migraine

NCT05517200 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2023-09-29

No results posted yet for this study

Summary

This study is a single center, random participant selection, data analyst is blinded to patient identifiers, controlled clinical trial.

The proposed study is intended to establish safety and efficacy of quantifiable electrical biomarkers for migraine that can be used to confirm a diagnosis in people that have already been screened as positive for migraine using the gold standard participative criteria set out in the International Classification of Headache disorders-3 (ICHD-3) criteria.

It is hypothesized that specific brain signals can be used to distinguish between migraine patients with and without aura from normal control and tension- type headache control participants by EEG enhanced with machine learning software.

Conditions

  • Migraine
  • Chronic Migraine
  • Tension-Type Headache

Interventions

DIAGNOSTIC_TEST

Machine Learning Test for Migraine

Resting EEG, and Visual and Auditory Stimulation

Sponsors & Collaborators

  • Headache Sciences Incorporated

    lead INDUSTRY

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-09-03
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • Canada

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05517200 on ClinicalTrials.gov