Assessing Seizure Recurrence Risk Through Sleep-Dependent EEG Network Instability

Speciality: Neurology


Speaker:

A Ramesh | HCP

Description:

Today, we’re exploring how sleep-dependent EEG network instability can help assess the risk of seizure recurrence. Traditionally, determining whether a person will have another seizure after an initial episode has been challenging. Recent research, however, highlights that changes in brain network stability during sleep—captured through EEG—may offer valuable clues. By analyzing these subtle fluctuations, clinicians can better predict which patients have a higher risk of experiencing future seizures. This approach could lead to more personalized treatment plans, improved monitoring, and early interventions. Understanding EEG network instability during sleep is a promising step towards safer, more effective epilepsy care.

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