Recent Research

A recent study has shed light on the rising issue of late-onset epilepsy (LOE) in older adults, particularly those aged 65 and above. The researchers were curious about how this condition affects health care usage before and after a diagnosis. By examining a large dataset of health records from the UK between 1998 and 2019, they compared the health care utilization of individuals diagnosed with LOE to a group of similar individuals without the condition.

A recent study has shed light on how our sleep habits can impact the risk of seizures in people newly diagnosed with epilepsy. While many of us know that sleep is crucial for overall health, this research dives deeper into how both the amount of sleep and its quality can play significant roles in the frequency of seizures. Conducted in northeast China over a three-and-a-half-year period, the study followed 209 patients who were just starting their treatment for epilepsy.

In a recent study, researchers tackled a tricky problem in brain health following a hypoxic-ischemic (HI) injury, which is when the brain doesn’t get enough oxygen and blood. They focused on the role of chloride ions (Cl−) in neurons after such injuries, as an increase in chloride concentration can lead to complications like seizures and the ineffectiveness of some epilepsy drugs.

This article dives into an important yet often overlooked aspect of health in children with drug-resistant epilepsy (DRE), specifically how their condition affects sleep patterns. The researchers set out to compare sleep quality and structure between kids with well-controlled epilepsy and those struggling with DRE.

Functional seizures (FS) can be quite puzzling. They resemble typical epileptic seizures in appearance, but here’s the catch: there’s no actual epileptic activity going on in the brain during these episodes. Shockingly, about one in every five people referred to epilepsy clinics ends up being diagnosed with FS. Currently, diagnosing FS involves capturing a seizure on video and using electroencephalography (EEG) to analyze it. Unfortunately, this method can be costly, hard to access, and stressful for patients. To make things even trickier, there’s no single biomarker to help identify FS, which leaves healthcare providers exploring better options.

A recent study has taken a closer look at how wearable technology can help track tonic-clonic seizures (TCS) in patients. Using a wristband equipped with artificial intelligence, researchers sought to confirm whether the patterns of seizures they observed in diaries and medical records also appeared in the data collected by this device. The aim was not only to understand how often these seizures occur but also to analyze how patients interact with the wristband alerts.

In a recent study, researchers investigated how the organization of brain networks could influence the success of epilepsy surgery, particularly for patients with focal epilepsy. They focused on a specialized measurement called the “Resection-Hub Alignment Degree” (RHAD), which helps identify critical brain regions—referred to as “hubs”—that are highly connected to other areas. The central idea was to see if removing these hubs during surgery could lead to better outcomes for patients after their operations.

A recent study explored a promising new method for monitoring seizures in patients with hard-to-treat epilepsy using a subcutaneous electroencephalographic device, known as sqEEG. The purpose? To see how well this device could track seizure activity over an extended period and how safe it was for patients. It involved five individuals with drug-resistant focal epilepsy, who were implanted with this innovative device for ultra long-term monitoring.

In a recent study, researchers tackled the complexities of understanding SCN8A-related epilepsy, a condition that can manifest in a variety of ways. This condition is caused by genetic variants that lead to a spectrum of symptoms, ranging from developmental delays without seizures to more severe developmental and epileptic encephalopathies (DEEs). The central question of the research was whether patients could be grouped into clinically relevant subcategories based on their symptoms and disease progression.