Previously, scientists developed systems to prevent seizures that predicted it in a fewseconds or at best minutes. Our development is the first that can predict an attack a few days before it starts. This will enable people with disabilities to plan their lives without fear.
Vikram Rao, MD, a neurologist at the UCSF Epilepsy Center, part of UCSF Helen
For decades, researchers have studiedepilepsy: we worked on building models of electrical activity in the brain that signal an impending seizure, but this was not effective enough. In part, according to the authors of the study, this is due to the fact that technology has limited the area of recording brain activity from several days to weeks at most in an artificial hospital.
At the UCSF Epilepsy Center, a majorAt a specialized patient center in the western United States, Rao was the first to test a brain-stimulating implant that could quickly stop seizures at the first sign. This device, the NeuroPace RNS System, also allowed Rao's team to study the brain activity that occurs before and during an attack. Scientists have documented this activity for several years.
After that, they analyzed the collected data.and found that there is a pattern in epileptic seizures. Seizures are divided into weekly and monthly cycles of "brain irritability", which predict whether a seizure is likely to be high or low.
The researchers decided to test their theory for 157patients with epilepsy. As a result, scientists were able to identify in patients with periods when the likelihood of a seizure was increased 10 times: in some volunteers, this risk was predicted several days in advance. The researchers note that the increased risk of an attack does not mean that it is guaranteed to happen, it is more like weather forecasts, which are becoming more accurate every year. Scientists are planning to further improve their system and increase its accuracy.
Check out the most beautiful pictures of Hubble. What has the telescope seen in 30 years?
In Russia, they created a durable material from garbage to cover roads
Extraterrestrial life is found in meteorites. What is known about her and where is she from?