8 Participants Needed

Brain Interchange System for Epilepsy

Recruiting at 1 trial location
NF
GA
Overseen ByGregory A Worrell, M.D., Ph.D.
Age: Any Age
Sex: Any
Trial Phase: Academic
Sponsor: Mayo Clinic
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.

What data supports the effectiveness of the Brain Interchange System treatment for epilepsy?

While there is no direct data on the Brain Interchange System, epilepsy surgery, which is a similar treatment for drug-resistant epilepsy, has been shown to improve life expectancy and quality of life by reducing seizures. This suggests that advanced treatments like the Brain Interchange System could potentially offer similar benefits.12345

How is the Brain Interchange System treatment for epilepsy different from other treatments?

The Brain Interchange System is unique because it likely involves advanced technology to monitor and possibly modulate brain activity, unlike traditional epilepsy treatments that primarily focus on medication or surgery. This system may offer a novel approach by integrating real-time data analysis and intervention, potentially providing more personalized and precise management of seizures.678910

What is the purpose of this trial?

Overall, this study will investigate the functional utility of stereotyped HFOs by capturing them with a new implantable system (Brain Interchange - BIC of CorTec), which can sample neural data at higher rates \>=1kHz and deliver targeted electrical stimulation to achieve seizure control. In contrast to current closed-loop systems (RNS), which wait for the seizure to start before delivering stimulation, the BIC system will monitor the spatial topography and rate of stereotyped HFOs and deliver targeted stimulation to these HFO generating areas to prevent seizures from occurring. If the outcomes of our research in an acute setting become successful, the investigators will execute a clinical trial and run the developed methods with the implantable BIC system in a chronic ambulatory setting.

Eligibility Criteria

This trial is for individuals with epilepsy. Participants must be eligible to receive the Brain Interchange System, an implantable device designed to monitor and stimulate brain activity to prevent seizures.

Inclusion Criteria

I am between 3 and 17 years old.
I am a woman or identify as part of a minority group.
I have epilepsy that doesn't respond to medication and need brain monitoring.

Exclusion Criteria

Subjects will be excluded if their condition makes them unable to continue with recordings.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Feasibility of Detection

Feasibility of capturing stereotyped HFOs with the BIC system in the EMU setting

3 years
Continuous monitoring over 24 hours

Feasibility of Closed-Loop Stimulation

Testing the feasibility of delivering closed-loop stimulation with the BIC system

2 years

Follow-up

Participants are monitored for safety and effectiveness after treatment

6 months

Treatment Details

Interventions

  • Brain Interchange System
Trial Overview The study tests a new device called the Brain Interchange System that records high-frequency brain signals and delivers electrical stimulation aimed at preventing seizures in people with epilepsy, unlike current systems that react after seizures start.
Participant Groups
1Treatment groups
Experimental Treatment
Group I: EpilepsyExperimental Treatment1 Intervention
Patients with drug resistant epilepsy undergoing a surgical evaluation in the epilepsy monitoring unit

Find a Clinic Near You

Who Is Running the Clinical Trial?

Mayo Clinic

Lead Sponsor

Trials
3,427
Recruited
3,221,000+

Baylor College of Medicine

Collaborator

Trials
1,044
Recruited
6,031,000+

CorTec GmbH

Collaborator

Trials
2
Recruited
20+

National Institute of Neurological Disorders and Stroke (NINDS)

Collaborator

Trials
1,403
Recruited
655,000+

Findings from Research

A small percentage of children with epilepsy do not respond to standard medications, and many of these children can benefit from surgical options, which are becoming more accepted for treating severe seizures.
Surgical outcomes in children are often better than in adults due to the greater plasticity of the immature brain, making early surgical intervention advisable for those with intractable epilepsy.
Intractable epilepsy in children.Holmes, GL.[2019]
A new computer-aided method for visualizing subdural electrode positions in epilepsy surgery was validated in 17 patients, showing satisfactory accuracy in all cases.
Quantitative measurements in a subgroup of 5 patients revealed that the mean error for electrode positions was 3.4 mm for CT images and 2.5 mm for MR images, indicating that while MR images were slightly more accurate, CT images were faster to process, enhancing precision in surgical planning.
A computer-generated stereotactic "Virtual Subdural Grid" to guide resective epilepsy surgery.Morris, K., O'Brien, TJ., Cook, MJ., et al.[2021]

References

Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool. [2021]
The impact of temporal lobe surgery on cure and mortality of drug-resistant epilepsy: summary of a workshop. [2019]
Predictors of referral for long-term EEG monitoring for Medicare beneficiaries with drug-resistant epilepsy. [2023]
Selecting patients for epilepsy surgery. [2021]
Intractable epilepsy in children. [2019]
A computer-generated stereotactic "Virtual Subdural Grid" to guide resective epilepsy surgery. [2021]
Comment to the paper: palliative functional hemispherectomy for treatment of refractory status epilepticus associated with Alpers' disease. [2021]
Intracranial electroencephalogram to evaluate refractory temporal and frontal lobe epilepsy. [2016]
Identification of reproducible ictal patterns based on quantified frequency analysis of intracranial EEG signals. [2011]
Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy. [2023]
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