Recent Research

Surgery for epilepsy can be a real game-changer, especially when it involves the operculoinsular cortex, a tricky area of the brain. This study focused on 30 pediatric patients who underwent this type of surgery at the Motol Epilepsy Center in Prague over a span of 12 years. The authors aimed to understand the outcomes of these surgeries, given the complexities and risks involved, like difficulties in pinpointing where the seizures originate and the potential for postoperative complications.

Focal epilepsy, particularly lesional focal epilepsy (LFE), is a serious condition that leads to uncontrolled seizures and can severely impact the quality of life for those affected. Recent research has aimed to uncover the genetic factors behind the brain lesions that cause LFE, such as malformations of cortical development (MCD) and low-grade epilepsy-associated tumors (LEAT). In a groundbreaking study involving a massive analysis of brain tissue from 1,386 surgical patients, researchers confirmed several known gene associations with LFE and identified new genetic players that could pave the way for better treatments.

Researchers have been diving into the complex world of epilepsy, trying to unravel the relationship between neuronal cell death and the pesky epileptic seizures that can disrupt lives. A recent study focused on a specific type of neuron in the brain called CCL17-expressing hippocampal neurons. These neurons play a vital role in managing another type of brain cell known as microglia, which helps keep inflammation in check. By creating a special mouse model that allowed them to safely eliminate these neurons, scientists were able to observe what happens when they’re gone.

A recent study is tackling a significant challenge in epilepsy surgery: determining the precise areas in the brain where seizures start, known as the seizure onset zone (SOZ). While high-frequency oscillations (HFOs) are considered promising biomarkers for identifying these zones, their practical use has been hindered by noise and artifacts in intraoperative recordings. This research introduces a new computational approach that uses advanced signal processing and machine learning techniques to distinguish between genuine HFOs and misleading signals that can mimic them, improving the accuracy of SOZ localization during surgery.

Epilepsy, often known for causing seizures, is increasingly viewed as a network disease, meaning it affects connections in the brain beyond just the areas where seizures start. This understanding is crucial because it shows that the impact of epilepsy can be more widespread than previously thought. To explore this idea further, researchers conducted a study using a cutting-edge technique called differential tractography to investigate the structural changes in brain connectivity among patients with medically refractory epilepsy (MRE) — a term that describes epilepsy that doesn’t respond well to treatment.

In a recent study, researchers tackled a significant challenge in the world of epilepsy: accurately assessing how well patients respond during and after seizures. Traditionally, there have been inconsistencies in the way responsiveness is measured, which can complicate diagnosis and treatment. To address this problem, they developed a groundbreaking tool called the ARTiE Watch—a smartwatch designed specifically for monitoring behavioral responsiveness in individuals with epilepsy.

Lafora disease (LD) is a rare and serious genetic disorder, primarily affecting young adults, characterized by severe neurological symptoms such as seizures, cognitive decline, and eventually leading to dementia. This condition is caused by mutations in certain genes, particularly EPM2A and NHLRC1, which play critical roles in glycogen metabolism. Unfortunately, those diagnosed with LD face a grim prognosis, as the disease is fatal within 10 to 20 years after the onset of symptoms, with no known cure available. Current treatment strategies focus on managing symptoms, primarily through medications for seizures and supportive care.

Researchers have been working on understanding the risk of developing epilepsy after a stroke, particularly focusing on a tool called the SeLECT 2.0 score. This score is designed to help predict whether a person who has suffered an ischemic stroke—where blood supply to the brain is blocked—might face seizures later on.

In a recent study conducted at Bambino Gesù Children’s Hospital in Rome, researchers focused on a specific group of neurological disorders known as developmental and epileptic encephalopathies (DEEs). These conditions are marked by both developmental delays and seizures, making them particularly challenging for affected individuals and their families.