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
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
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.
Inclusion Criteria:
● Age range: All participants and controls will be adults over 18, and no greater than 70
Exclusion Criteria:
● Under 18 years old
4.2.2 EXCLUSION CRITERIA FOR NORMAL CONTROLS
4.2.3 EXCLUSION CRITERIA FOR MIGRAINE WITHOUT AURA:
● Chronic migraine without aura
4.2.4 EXCLUSION CRITERIA FOR TENSION-TYPE HEADACHES:
headachesciences@gmail.com6472072504
13gaurav.anand13@gmail.com6479953374