Brain Computer Interface (BCI) Applications in Mapping of Epileptic Brain Networks based on Intracranial-EEG

By Rafeed Alkawadri

Update 3/27/2019: The full article in now available.

Read our recent article on breakthroughs in BCI applications in caring for patients with refractory epilepsy.

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Brain Computer Interface (BCI) Applications in Mapping of Epileptic Brain Networks based on Intracranial-EEG

A quick look at a recent submission to the annual BCI society award and research trends available from the BCI community annual conference shows:

1. There is a steady increasing trend in BCI research with emphasis on epilepsy and movement disorders.

2. This constituted however, only 3.8% of the projects submitted. These numbers eclipsed by other uses.

There is a responsibility that falls on the shoulder of subspecialized funding agencies and supporting communities to augment research in this area which will continue to benefit patients with drug-resistant epilepsy, in the foreseen future, until, researchers identify less invasive, and more preemptive and efficient methods to treat epilepsy in the future.

In summary, icEEG data is the ideal medium for applications of artificial intelligence and machine learning in real-time. The applications within the domain of epilepsy surgery and seizure localization have lagged behind, however, the transformation is inevitable.

The spatial and signal characteristics of physiologic high frequency oscillations.

Authors: Alkawadri et al. 

To read the full article visit Epilepsia 

OBJECTIVES: 

To study the incidence, spatial distribution, and signal characteristics of high frequency oscillations (HFOs) outside the epileptic network.

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