In a pursuit of effective methods for reliable localization of the epileptic network: The connectivity index an effective metric for grading epileptogenicity

We proposed the connectivity index, that is based on the evoked potentials to single pulse stimulation. Unlike spontaneous seizures which require multi-day or multi-week of monitoring, this method can be resulted in real-time in matter of minutes, improving potentially on the safety/comfort profile for patients and length of hospital days. We are aware of challenges and we plan our phase III implementation for the very near future.

The full article can be found here

Connectivity Index

Calculation method

Generating a volume of the epileptic brain regions in under a minute: Typical standard of care employ multi-day or multi-week long evaluations.

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.