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A team at UC San Francisco has discovered brain activity patterns that predict seizures up to 24 hours before they occur, offering hope for the 2.9 million Americans with epilepsy.
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Led by Dr. Vikram Rao, the researchers found that abnormal brain signals precede seizures, allowing for accurate forecasting with just 90 seconds of data.
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Current methods of predicting seizures require long data collection periods and lack accuracy, making Rao’s technology a breakthrough for epilepsy patients.
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The study focused on patients with hippocampal seizures, finding that communication breakdown between the hippocampi signaled an increased seizure risk.
- The team plans to expand their research to include more patients and develop noninvasive methods for seizure forecasting, aiming to improve the quality of life for people living with epilepsy.
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Neurology, Pediatrics