Alterations in the local network of specific brain regions can predict the progression of epilepsy, and determine whether surgery is a viable option for the patient.
A new mathematical algorithm examines data from EEG and brain implants to learn each epilepsy patient's unique brain pattern signatures. The system can predict the onset of a seizure within an hour, allowing the patient to take necessary interventions.
Study reveals the mechanisms behind distinct patterns of electrical activity in neuron groups that accompany the onset of seizures.
Study identifies a pathway involving astrocytes that help explain why some with multiple sclerosis experience seizures.
Alterations in the excitation and inhibition balance is regulated in the developing brain by astrocytes via the ephrin-B1 protein. The loss of astrocytic ephrin-B1 alters the E/I balance by reducing inhibition, resulting in hyperactivity of neural circuits. The hyperactivity results in reduced sociability in mice.
Study identifies a link between women with catamenial epilepsy who suffer more frequent seizures during their menstrual cycle and drug-resistant epilepsy. Those with catamenial epilepsy are almost four times more likely to have drug-resistant epilepsy than women who do not experience an increase in seizure frequency during their menstrual cycle.
8% of patients with a history of seizures reported experiencing hallucinations. Of the 8%, 53% reported one or more suicide attempts. Findings suggest hallucinations associated with seizures are not just incidental but are a marker for mental health risks and suicidal behavior.