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3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
Published on: June 2, 2014
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.
Abstract:
Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycle. We sampled 12 migraine patients for 20 days within one calendar month. Each session consisted of subjects' reports of stress level and migraine-related symptoms, and a 5 min EEG recording, with a 2-electrode EEG device, during an auditory oddball task. The first minute of the EEG sample was analyzed. Repetitive samples were also obtained from 10 healthy controls. The brain engagement index increased significantly during the pre-ictal (p ≈ 0.001) and the ictal (p ≈ 0.020) periods compared with the inter-ictal period. No difference was observed between the pre-ictal and ictal periods. Control subjects demonstrated intermediate Brain Engagement Index values, that is, higher than inter-ictal, yet lower than pre-ictal. Our preliminary results demonstrate the potential advantage of the use of a simple EEG system for improved prediction of migraine attacks. Further study is required to evaluate the efficacy of the Brain Engagement Index in monitoring the migraine cycle and the possible effects of interventions.
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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