Seizure Tracker - Clinical Trial Finder
Clinical Trial Finder
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Featured Epilepsy Studies

The following are epilepsy studies that apply to particular groups within the Seizure Tracker™ population. Click a title to expand its details.
STARS
The STARS study is searching for people who experience prolonged epileptic seizures (i.e. lasting more than 3 minutes) to join this clinical research study. The STARS Study is testing an inhaler containing an investigational drug that has been designed to potentially stop a prolonged seizure once it has begun.

If you or the person you care for are experiencing prolonged seizures, consider participating in the STARS study.

For more study information, please contact an experienced Patient Navigator at +1 470-523-2502.
Tuberous Sclerosis Alliance
The TSC Biosample Repository stores samples of blood, DNA, and tissues from individuals affected by TSC that scientists can use in their research. The samples we collect are linked to clinical data in the TSC Natural History Database. These samples and linked clinical data help researchers conduct experiments to find biomarkers of TSC, test potential drug treatments, and determine why TSC is so different from person to person.

Implemented in 2006, the TSC Natural History Database captures clinical data to document the impact of the disease on a person’s health over his or her lifetime. More than 2,000 people with TSC are enrolled in the project across 18 U.S.-based clinical sites and the TSC Alliance. The TSC Alliance provides funding to participating clinics to perform data entry, monitors the integrity of the database, and makes data available to investigators to answer specific research questions and identify potential participants for clinical trials and studies.
Description: Study design is a Phase IIb prospective multi-center, randomized, placebo-controlled, double-blind clinical trial. The goal will be to enroll 80 infants with Tuberous Sclerosis Complex who are less than 6 months of age prior to the onset of their first seizure.
Some of the listings above may be sponsored content. All listings will pertain to some part of the Seizure Tracker™ population. Feel free to reach out to us if you think there is a research study that should be featured here.

Search Results (279)

All studies below are either currently recruiting or will be soon.
HOme-Based Self-management and COgnitive Training CHanges Lives (HOBSCOTCH) -Post-Traumatic Epilepsy (PTE)
Brief Summary: The purpose of this study is to assess the ability of the home-based intervention, HOBSCOTCH-PTE, to improve the quality of life and cognitive function in Service Members, Veterans and civilians with post traumatic epilepsy (PTE). This study will also assess the ability of the HOBSCOTCH-PTE program to improve quality of life in caregivers of PTE patients and to reduce caregiver burden.
Thalamus Seizure Detection With a Deep Brain Stimulator System
Brief Summary: The purpose of this study is to determine the feasibility of chronic ambulatory thalamus seizure detection. The sensitivity, specificity, and false alarm rate of thalamus seizure detection will be calculated using recordings from a deep brain stimulation system, assessed relative to concurrent gold-standard video-EEG monitoring collected in the in-patient setting (epilepsy monitoring unit), in 5 patients with drug resistant epilepsy.
Human Epilepsy Genetics--Neuronal Migration Disorders Study
Brief Summary: The purpose of this study is to identify genes responsible for epilepsy, brain malformations and disorders of human cognition.
Identification of Volatile Organic Compounds (VOCs) as Biopredictors of Epileptic Seizures
Brief Summary: The unpredictable nature of epileptic seizures places people with epilepsy under permanent psychological stress, which contributes significantly to a restriction in their quality of life. The possibility of predicting the arrival of epileptic seizures would allow, in addition to taking a preventive treatment if the risk of seizure is close, to prevent traumas and accidents linked to possible falls during seizures, to authorize driving for certain people with epilepsy and to reduce the costs of medical care. To date and to our knowledge, no seizure detection device has been commercialized. There are commercialized devices based on biometric sensors other than EEG, but these are strictly dedicated to the detection of seizures and do not allow the anticipation of seizures. Regarding prediction, current research seems to have difficulties in developing convincing algorithms. The only system used successfully in real time would require a device implantable in the brain, but this would raise problems of acceptability. In addition, 20% of people with drug-resistant epilepsy have psychogenic non-epileptic seizures (PNES). These are sometimes difficult to differentiate from epileptic seizures by people with epilepsy and their caregivers, and their management differs from that of epileptic seizures. The distinction between these 2 types of events should also be taken into account by these prediction/detection tools. From the field of biomedical detection dogs, there is currently a converging body of evidence supporting that people with epilepsy emit specific odors associated with seizure events. Trained dogs have been shown to be able to discriminate body odors sampled during or just after an epileptic seizure from those sampled from the same subjects in various contexts outside of a seizure. It was also shown that a seizure can also be predicted by the volatile organic compounds (VOCs) released by the patient (human volatilome); the olfactory signature being already detectable up to 3h before a seizure. Another study used trained dogs to confirm that they are able to detect a seizure by smell and that this olfactory difference is already detectable before a seizure. The human volatilome VOCs lead is particularly promising, notably for its non-invasiveness and for the pre-ictal precocity that prediction allows. But at the moment, the studies are too studies are too preliminary, with sample sizes too small to conclude on the inter-individual generalization of the odor, taking into account the type of seizure involved and the influence of other variables (e.g., gender, age, medications). Moreover, in order to develop a reliable and transportable electronic detection tool, the identification of the VOCs involved is necessary, since the choice of sensors (e.g., to constitute an electronic nose) depends on it. The objective of this study is to overcome these shortcomings, by aiming at the identification of the informative odor(s) associated with epileptic events during the pre-ictal, ictal and post-ictal periods, taking into account the type of seizures (focal seizures, secondary generalized focal seizures, primary generalized seizures - motor and non-motor) and the inter-individual differences.
Prospective Evaluation of Probabilistic Predictions of Epileptic Seizure Risk Using the EPIDAY Tool
Brief Summary: Studies suggest the existence of a pre-critical state preceding the onset of an epileptic seizure. Identifying these states from self-reported prodromal symptoms, combined with machine learning algorithms, could help anticipate seizures.
Honeycomb: Evaluation of Radiprodil in Children with GRIN-related Disorder
Brief Summary: Study RAD-GRIN-101 is a phase 1B trial to assess safety, tolerability, PK, and potential efficacy of radiprodil for the treatment of GRIN-related disorder in children with a Gain-of-Function (GoF) genetic variant. The study is open-label, so all participants will be treated with radiprodil. Subjects' participation in the study is expected to last up to six months in Part A. After the end of part A, all participants who are still eligible can choose to continue to receive radiprodil as part of an open-label long-term treatment period (Part B).
Volatile Non-Invasive Biomarkers of Epileptic Seizures
Brief Summary: Breath and sweat samples will be collected from people who have been admitted to hospital after a potential seizure and analysed by the team. The researchers then hope to identify a pattern of small molecules that can distinguish seizures from other events, and perhaps determine the severity of the seizure.
A Study to Investigate the Transition of Children From 'Artisanal" Cannabidiol (CBD) to Epidiolex
Brief Summary: The goal of this clinical trial is to learn the best way to switch children with Lennox-Gastaut Syndrome (LGS) or Dravet Syndrome (DS) taking 'artisanal' (non pharmaceutical-grade) cannabidiol (CBD) to Epidiolex for treatment of seizures. The main questions it aims to answer are: * How well does a gradual switch from 'artisanal' CBD to Epidiolex work? * Does the same dose of Epidiolex as 'artisanal' CBD work best? * What side-effects or medical problems do participants have when switching from 'artisanal' CBD to Epidiolex? Researchers will examine how successful switching from 'artisanal' CBD to Epidiolex is. Participants will: * Gradually increase their dose of Epidiolex and reduce their dose of 'artisanal' CBD until they are taking just Epidiolex * Visit the clinic five times over 20 weeks for checkups and tests * Keep a diary of their seizures, symptoms and the number of times they use a rescue seizure medication
Why Participate in Clinical Trials?
  • The treatments for seizures will not improve without patients participating in research.
  • Clinical trials help us understand if a promising new medication or device is safe.
  • Participating in a research study may give you access to a therapy not available to others with epilepsy.
  • Clinical trials not only research medication, they can also focus on disease prevention and quality of life.
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