Seizures originate from an excess of excitatory over inhibitory neural activity in confined regions of the brain, and spread only when they overcome strong inhibitory activity in surrounding regions.
When dysfunctional, somatostatin interneurons drive brain activity and provoke seizures.
Scientists have identified three acidic cannabinoids in cannabis that reduces seizure activity in mouse models of Dravet syndrome.
The release of 2-AG, a natural endocannabinoid that is suggested to be the brain's equivalent to THC, dampens down seizure activity but increases post-seizure oxygen deprivation in the brain.
A new system translates EEG data into a 3D movie which shows activity in all recorded regions of the brain. The heat map shows where seizures start and spread throughout the patient's brain, in addition to evaluating the speed of activity during a seizure.
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.
Hippocampal deep brain stimulation prevented seizures in mouse models of temporal lobe epilepsy.
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.
An innovative new model helps predict how damaging conditions in the brain can be triggered by complex dynamics in branching neural networks.
Boosting levels of the DUSP4 protein could be a novel way of preventing and treating epilepsy.