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Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

Epilepsy and Seizures: Overview

Epilepsy and Seizures: Overview

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...

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Related Experiment Video

Updated: May 25, 2026

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Frequency interactions in human epileptic brain.

Marija Cotic¹, Osbert Zalay, Taufik Valiante

¹Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada. marija.cotic@utoronto.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This summary is machine-generated.

This study analyzed brain wave interactions in epilepsy using wavelet phase coherence (WPC) and modulation index (MI) analysis. Findings reveal distinct frequency patterns during seizure and non-seizure states in the human epileptic brain.

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Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

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Area of Science:

Neuroscience
Computational Neuroscience
Epilepsy Research

Background:

Epilepsy is characterized by abnormal brain activity and network dysfunction.
Understanding neural oscillations and their interactions is crucial for diagnosing and treating epilepsy.
Intracranial electroencephalography (iEEG) provides high-resolution data for studying brain activity.

Purpose of the Study:

To investigate frequency interactions in the human epileptic brain using advanced signal processing techniques.
To differentiate between seizure and non-seizure brain activity based on neural oscillations.
To apply wavelet phase coherence (WPC) and modulation index (MI) analysis to iEEG data.

Main Methods:

Quantitative analysis of iEEG segments from three patients with neocortical epilepsy.
Wavelet phase coherence (WPC) was used to measure interelectrode coherence across specific frequency bands (1-100 Hz).
Modulation index (MI) analysis was employed to study intraelectrode frequency interactions.

Main Results:

Wavelet phase coherence (WPC) was strongest in the 1-4 Hz range during both seizure and non-seizure states.
The 13-30 Hz band exhibited the lowest WPC values during seizure activity.
Modulation index (MI) analysis identified two consistent patterns of frequency-specific activity across all patients during seizure and non-seizure periods.

Conclusions:

Distinct frequency interaction patterns exist in the human epileptic brain.
WPC and MI analyses are valuable tools for characterizing neural dynamics in epilepsy.
These findings contribute to a better understanding of the neural basis of epileptic seizures.