Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker-A Pilot Study

Goded Shahaf1, Pora Kuperman2, Yuval Bloch3,4

  • 1BrainMARC LTD, Yokneam 20692, Israel. godeds@gmail.com.

Insights

Migraine attacks may be predicted using a new Brain Engagement Index (BEI) derived from electroencephalography (EEG) during an auditory oddball task. This marker shows significant changes during pre-ictal and ictal periods, offering potential for improved migraine management.

Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Biomedical Engineering

Background:

  • Migraine attacks cause significant discomfort and functional impairment, extending beyond the ictal phase.
  • Despite normal functioning during inter-ictal periods, electrophysiological differences persist in migraineurs.
  • Attention-related electrophysiological dynamics are implicated in the migraine cycle.

Purpose of the Study:

  • To evaluate the Brain Engagement Index (BEI) as a novel, user-friendly marker for attention monitoring during the migraine cycle.
  • To investigate the utility of BEI in differentiating between pre-ictal, ictal, and inter-ictal periods in migraine patients.

Main Methods:

  • A pilot study involving 12 migraine patients and 10 healthy controls over 20 days.
  • Electroencephalography (EEG) recordings using a 2-electrode device during an auditory oddball task.
  • Analysis of the first minute of EEG data to calculate the BEI, alongside patient-reported stress and symptoms.

Main Results:

  • The Brain Engagement Index (BEI) significantly increased during pre-ictal (p ≈ 0.001) and ictal (p ≈ 0.020) periods compared to inter-ictal periods.
  • No significant difference in BEI was found between the pre-ictal and ictal phases.
  • Healthy controls exhibited intermediate BEI values, higher than inter-ictal but lower than pre-ictal migraine phases.

Conclusions:

  • Preliminary findings suggest the Brain Engagement Index (BEI) has potential for improved prediction of migraine attacks using simple EEG systems.
  • Further research is necessary to validate the efficacy of BEI in monitoring the migraine cycle and assessing intervention effects.

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