NCT05517200

Pilot Study for a Machine Learning Test for Migraine

Pilot Study for Machine Learning as Applied to EEG as an Aid to the Diagnosis of Adult Migraineurs Without Aura, or Migraineurs With Aura on Interictal (Non-pain) Days

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 20 (estimated)
• Sponsor: Headache Sciences Incorporated · Industry
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Accepted

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

Type	Name	Description
DIAGNOSTIC_TEST	Machine Learning Test for Migraine	Resting EEG, and Visual and Auditory Stimulation

Timeline

• Start date: 2022-09-03
• Primary completion: 2025-06-01
• Completion: 2025-06-01
• First posted: 2022-08-26
• Last updated: 2023-09-29

Locations

1 site across 1 country: Canada