EEG signals are used because they contain critical spatial and temporal information about the neural bioelectricity. We have developed a technique of characterizing and extracting significant, robust and informative features from EEG signals which are representative of the interictal migraine brain state. Our pilot study results show 92.9% classification accuracy of MwA in the interictal stage from the normal control (NC) group. Our findings suggest electrical predisposition of migraine which can lead to possible preventative interventions in the future.
The red lines show the direction and strength of delta wave currents, green is for theta, and blue is for alpha. The movie shows a spectacular complex flow of many currents. Somewhere in all the currents are the migraine signals.
Our challenge was to decipher the mystery and find the migraine signals that are buried amongst all the many other signals.
Patients journeys can involve a prolonged path it diagnosis thus delaying treatment by years. Misdiagnosis is fraught with difficulties including wrongly stigmatizing patients as having psychological problem and misdiagnosing another condition.