Novel community evaluation expertise can pinpoint seizure originating mind areas in minutes

Recent methods to help seizure prognosis and surgical planning stand to profit hundreds of thousands of epilepsy sufferers, however the path to progress has been gradual and difficult. New analysis from Carnegie Mellon College’s Bin He and his staff, in partnership with UPMC and Harvard Medical College, introduces a novel community evaluation expertise that makes use of minimally invasive resting state electrophysiological recordings to localize seizure onset mind areas and predict seizure outcomes.

Epilepsy impacts about 70 million individuals all over the world and greater than 3.4 million Individuals. Of these affected, roughly a 3rd can’t be handled by medicine alone. For these sufferers, surgical elimination of seizure originating tissues or neuromodulation procedures are potential therapy avenues in an effort to keep high quality of life.

In present observe, previous to any surgical elimination of tissues, clinicians usually drill holes into the cranium to position recording electrodes atop the mind. The electrodes report electrical exercise within the mind over the course of days or perhaps weeks, nevertheless lengthy it takes for seizure(s) to materialize, to tell of the place seizure(s) are going down. Whereas essential, this observe could be time-consuming, pricey, and uncomfortable for sufferers to remain in hospital for days to weeks.

An alternative choice to the present scientific routine has been developed by He and his collaborators and just lately revealed in Superior Science. Their novel community evaluation approach can pinpoint seizure originating mind areas and predict a affected person’s seizure end result earlier than surgical procedure, utilizing solely 10 minutes of resting state recordings with out the necessity to look ahead to seizures to happen.

In a bunch of 27 sufferers, our accuracy of localizing seizure onset mind areas, was 88%, which is an enchanting consequence. We use machine studying and community evaluation to research a 10-minute resting state recording to foretell the place the seizure will come out. Whereas this methodology remains to be invasive, it’s to a considerably decreased diploma, as a result of we have taken the recording timeline from a number of days and even weeks right down to 10 minutes.”

Bin He, professor of biomedical engineering, Carnegie Mellon College

He continued, “In the identical group of sufferers, our accuracy of predicting their seizure end result, or the potential of changing into seizure-free post-surgery, was 92%. Ultimately, such a knowledge may information sufferers towards or away from surgical procedure, and it’s data that’s not available at present.”

The approach extracts data stream throughout all recording electrodes and makes a prediction based mostly on the completely different ranges of knowledge stream. He and colleagues found that the knowledge stream from non-seizure producing tissue to seizure originating tissue is far bigger than the inverse route, and the notably better distinction in data stream usually results in a seizure-free end result. As soon as carried out, this strategy may have a significant affect to tell clinicians and households if a affected person ought to pursue a surgical procedure and what the chance of surgical success can be.

Serving to sufferers continues to be He is driving motivation and overarching purpose. By specializing in non-invasive and minimally-invasive approaches, He believes each the affected person and healthcare system can profit.

“This analysis not solely will present details about the chance of surgical success to people with epilepsy and their caregivers, however it should additionally assist us to know the underlying mechanisms of seizures utilizing a minimally-invasive strategy,” stated Vicky Whittemore, Ph.D., program director, Nationwide Institute of Neurological Problems and Stroke, part of the Nationwide Institutes of Well being.


School of Engineering, Carnegie Mellon College

Journal reference:

Jiang, H., et al. (2022) Interictal SEEG Resting-State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure End result. Superior Science.

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