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Related Experiment Video

Updated: Jun 21, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

Hippocampal network activity forecasts epileptic seizures.

Ankit N Khambhati¹, Edward F Chang¹, Maxime O Baud²

¹Department of Neurological Surgery and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.

Nature Medicine

|July 12, 2024

Summary

Seizure forecasting for epilepsy is now more accessible. New methods use short brain recordings to predict seizure likelihood, improving upon older models that required extensive data collection.

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Last Updated: Jun 21, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

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Published on: August 28, 2020

Area of Science:

Neuroscience
Biomedical Engineering

Background:

Epilepsy seizure occurrence was traditionally considered random.
Current seizure forecasting relies on long-term physiological data and cyclical brain activity patterns.

Purpose of the Study:

To investigate if functional connectivity in hippocampal networks can predict seizure likelihood.
To develop a biomarker for seizure forecasting using short-term recordings.

Main Methods:

Retrospective cohort study of 15 adults with bitemporal epilepsy.
Analysis of chronic intracranial recordings from implanted devices.
Development of a functional connectivity biomarker from 90-second hippocampal activity recordings.

Main Results:

Hippocampal functional connectivity exhibited multiday cycles mirroring seizure likelihood cycles.
The developed biomarker accurately forecasted 24-hour seizure likelihood.
The biomarker's performance matched models requiring months of baseline recordings.

Conclusions:

A novel functional connectivity biomarker can forecast seizure likelihood using brief recordings.
This approach has the potential to make seizure forecasting more widely accessible for people with epilepsy.
Further validation through larger, prospective studies is necessary.