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Begin with a human participant wearing electroencephalography or EEG electrodes and additional electrodes, lying in the magnetoencephalography or MEG chamber.
The EEG records the electrical signals from neurons and generates the EEG data.
Simultaneously, MEG detects magnetic signals generated by neuronal electrical activity and produces the MEG data.
With the additional electrodes, record peripheral signals from the body movements.
Remove the participant and record the background signal to remove noise from the data.
Compare EEG and MEG data to identify segments with interictal epileptiform discharges or IEDs.
IEDs are linked to recurrent abnormal brain activity associated with seizures.
Apply algorithms and detect high-frequency oscillations, or HFOs, representing rapid neuronal activity near or within IEDs, and compare them with peripheral signals to exclude body movement signals.
This ensures accurate localization of HFOs to seizure-prone regions.
Using an algorithm, EEG and MEG data generate a 3D brain map highlighting HFO regions linked to seizure-prone areas.
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