Do I Need an Epileptologist?

The AHA! Team — Mon, 18 Aug 2025 05:37:03 +0000

Morgan deBlecourt via Duke Health – An epileptologist is a neurologist who specializes in caring for people with epilepsy. Epileptologists have completed an additional one to two years of subspecialty training in epilepsy care. Most people with epilepsy can see a primary care doctor or general neurologist to manage their seizures. However, you may need more advanced care if your seizures are not under control, if you have certain medical issues, or if you want a second opinion. An epileptologist is a neurologist who specializes in caring for people with epilepsy. Epileptologists have completed an additional one to two years of subspecialty training in epilepsy care. When to See an Epileptologist To confirm your epilepsy diagnosis If your seizures are not under control after three months of care by your primary care physician or after one year of care by a general neurologist If your seizures are not under control despite trying two or three different medications If you are experiencing unwanted side effects from medications If you have other medical conditions or considerations that affect or are affected by epilepsy If you are pregnant or want to become pregnant Seek Care at an Epilepsy Center “An epileptologist typically works in a designated epilepsy center, which is capable of evaluating people whose seizures are not under adequate control. An epilepsy center provides a very comprehensive approach to care,” said Duke epileptologist Aatif Husain, MD. An epilepsy center is staffed by specialists who use sophisticated testing to pinpoint your diagnosis, offer the latest treatments, address possible side effects of medications, recommend surgical options if appropriate, and help you manage the social and emotional aspects of epilepsy. “Advances over the past decade have enabled more personalized epilepsy care,” said Duke epileptologist Birgit Frauscher, MD. “With new options now available, regular re-evaluation of treatment is essential.” As a Level 4 Epilepsy Center, Duke is recognized by the National Association of Epilepsy Centers for providing the highest level of diagnostic, treatment, and surgical options. To read the original article click here.

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AI Algorithm That Detects Brain Abnormalities Could Help Cure Epilepsy

AHA Publisher — Mon, 15 Aug 2022 07:00:16 +0000

University College London via Newswise – An artificial intelligence (AI) algorithm that can detect subtle brain abnormalities which cause epileptic seizures has been developed by a UCL-led team of international researchers. The Multicentre Epilepsy Lesion Detection project (MELD) used over 1,000 patient MRI scans from 22 global epilepsy centres to develop the algorithm, which provides reports of where abnormalities are in cases of drug-resistant focal cortical dysplasia (FCD) – a leading cause of epilepsy. FCDs are areas of the brain that have developed abnormally and often cause drug-resistant epilepsy. It is typically treated with surgery, however identifying the lesions from an MRI is an ongoing challenge for clinicians, as MRI scans in FCDs can look normal. To develop the algorithm, the team quantified cortical features from the MRI scans, such as how thick or folded the cortex/brain surface was, and used around 300,000 locations across the brain. Researchers then trained the algorithm on examples labelled by expert radiologists as either being a healthy brain or having FCD – dependant on their patterns and features. The findings, published in Brain, found that overall the algorithm was able to detect the FCD in 67% of cases in the cohort (538 participants). Previously, 178 of the participants had been considered MRI negative, which means that radiologists had been unable to find the abnormality – yet the MELD algorithm was able to identify the FCD in 63% of these cases. This is particularly important, as if doctors can find the abnormality in the brain scan, then surgery to remove it can provide a cure. Co-first author, Mathilde Ripart (UCL Great Ormond Street Institute of Child Health) said: “We put an emphasis on creating an AI algorithm that was interpretable and could help doctors make decisions. Showing doctors how the MELD algorithm made its predictions was an essential part of that process.” Co-senior author, Dr Konrad Wagstyl (UCL Queen Square Institute of Neurology) added: “This algorithm could help to find more of these hidden lesions in children and adults with epilepsy, and enable more patients with epilepsy to be considered for brain surgery that could cure the epilepsy and improve their cognitive development. Roughly 440 children per year could benefit from epilepsy surgery in England.” Around 1% of the world’s population have the serious neurological condition epilepsy, that is characterised by frequent seizures. In the UK some 600,000 people are affected. While drugs treatments are available for the majority of people with epilepsy, 20-30% do not respond to medications. In children who have had surgery to control their epilepsy, FCD is the most common cause, and in adults it is the third most common cause. Additionally, of patients who have epilepsy that have an abnormality in the brain that cannot be found on MRI scans, FCD is the most common cause. Co-first author, Dr. Hannah Spitzer (Helmholtz Munich) said: “Our algorithm automatically learns to detect lesions from thousands of MRI scans of patients. It can reliably detect lesions of different types, shapes and sizes, and even many of those lesions that were previously missed by radiologists.” Co-senior author, Dr Sophie Adler (UCL Great Ormond Street Institute of Child Health) added: “We hope that this technology will help to identify epilepsy-causing abnormalities that are currently being missed. Ultimately it could enable more people with epilepsy to have potentially curative brain surgery.” This study on FCD detection uses the largest MRI cohort of FCDs to date, meaning it is able to detect all types of FCD. The MELD FCD classifier tool can be run on any patient with a suspicion of having an FCD who is over the age of 3 years and has an MRI scan. The MELD project is supported by the Rosetrees Trust. To read the original article click here.

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Do I Need an Epileptologist?

AI Algorithm That Detects Brain Abnormalities Could Help Cure Epilepsy