New method developed by epilepsy specialists at UC San Francisco can predict 24-hour seizure risk, offering hope to epilepsy patients.
- A team of epilepsy specialists at UC San Francisco have developed a method to predict 24-hour seizure risk, potentially benefiting the 2.9 million Americans with epilepsy.
- The researchers identified specific brain communication abnormalities preceding seizures that allowed them to forecast seizure risk by analyzing just 90 seconds of brain signals.
- Utilizing data from responsive neurostimulation systems, the technology developed by Dr. Vikram Rao could predict seizures with more accuracy than current methods.
- A cycle of brain activity changes associated with seizures was observed in patients with hippocampal epilepsy, demonstrating a synchronization between the two hippocampi.
- The forecasting approach, known as snapshot seizure forecasting, utilizes as little as 90 seconds of data to identify seizure likelihood, allowing patients to take precautions and improve their quality of life.
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Neurology,Oncology,Public Health & Prevention