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Updated: May 25, 2026

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

Probing for cortical excitability.

Dean R Freestone¹, Anthony N Burkitt, Alan Lai

¹Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, VIC, Australia.

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 presents a novel method using electrical brain stimulation and intracranial EEG to measure cortical excitability. The technique, based on mean phase variance, shows promise for predicting epileptic seizures.

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

Area of Science:

Neuroscience
Neurology
Biomedical Engineering

Background:

Cortical excitability is a key factor in neurological disorders like epilepsy.
Current methods for measuring cortical excitability are limited.
Developing new methods is crucial for understanding brain function and dysfunction.

Purpose of the Study:

To introduce and validate a novel method for measuring cortical excitability.
To assess the feasibility of using this method in a seizure anticipation framework.
To explore the relationship between cortical excitability and epileptic activity.

Main Methods:

Utilized intracranial electroencephalography (iEEG) with electrical probing stimuli.
Administered 100 single bi-phasic pulses every 10 minutes.
Extracted mean phase variance (PV) from iEEG responses to quantify neural excitability.

Main Results:

Demonstrated that mean PV increases with the rate of inter-ictal discharges in one patient.
Observed changes in mean PV related to sleep and epileptic seizures in another patient.
Established a proof-of-principle for the developed method.

Conclusions:

The novel iEEG-based method effectively measures cortical excitability.
Mean phase variance is a sensitive indicator of changes in neural activity.
This technique holds potential for developing seizure anticipation systems.