Acute Modulation of Stereotyped High-Frequency Oscillations
Primary Purpose
Epilepsy
Status
Recruiting
Phase
Early Phase 1
Locations
United States
Study Type
Interventional
Intervention
Brain Interchange System
Sponsored by
About this trial
This is an interventional device feasibility trial for Epilepsy focused on measuring Neuromodulation, HFO, Epilepsy, Machine Learning, Closed-Loop
Eligibility Criteria
Inclusion Criteria:
- patients with medically refractory epilepsy, who have been deemed appropriate candidates for intracranial EEG monitoring
- Adult men and women (18≤ age <70 years)
- children (3≤ age <18 years)
- includes women and minorities
Exclusion Criteria:
- Subjects will be excluded if their condition makes them unable to continue with recordings.
Sites / Locations
- Baylor College of MedicineRecruiting
- University of HoustonRecruiting
Arms of the Study
Arm 1
Arm Type
Experimental
Arm Label
Epilepsy
Arm Description
patients with drug resistant epilepsy undergoing a surgical evaluation in the epilepsy monitoring unit
Outcomes
Primary Outcome Measures
Robustness in Data Transmission
Outcome-1 will quantify the feasibility of robust data recording and transmission with the BIC system in the epilepsy monitoring unit (EMU). The investigators will develop software tools to communicate with the BIC directly from MATLAB and Simulink. The incoming data from the implantable system will be visualized with gHIsys, the high-speed data processing libraries of gTec. At the end of the first year, in the epilepsy monitoring unit (EMU), the investigators will test the feasibility of recoding iEEG data from 2 patients continuously over 24 hours with less than <5% data loss. The BIC system will not be implanted but used externally to record the neural data. The research team will also test to record iEEG/ECoG data simultaneously with 2 BIC units to be ready for those cases where the number of recording channels are larger than =>32 and <=64. At this stage Outcome-1 is only related to the device feasibility (robust data transmission) not health related outcome.
Feasibility of Detection of Stereotyped HFOs
Outcome-2 will test the feasibility of capturing stereotyped HFO (sHFO) with the BIC system in the EMU setting. Once the feasibility of robust data transmission as listed in (Outcome-1) is tested, the neural activity will be recorded over 24 hours using the BIC system from 10 patients. The hardware will not be implanted but used externally to record the neural data. Then, the research team will compare whether the sHFO detection and SOZ localization accuracy is significantly different between the BIC and FDA approved amplifier. If the investigators can detect stereotyped HFOs with a rate not less than 75% of FDA approved clinical amplifier and predict the SOZ in 8/10 patients, then the research team will move to the second phase of the project to test Outcome-3. Outcome-2 tests the feasibility of capturing relevant neural events with the external BIC system and compares the recording quality to the FDA approved amplifiers. Outcome-2 does not test any health-related outcome.
Feasibility of Delivering Closed-Loop Stimulation
Outcome-3 will test the feasibility of delivering of closed-loop stimulation with the BIC system. If the detection of sHFO with the BIC system is feasible (Outcome-2), the investigators will start to test the online methods on the previously recorded datasets to isolate sHFOs in streaming iEEG/ECoG. Using the computer in the loop real-time system and the BIC, in the last 2 years, closed-loop stimulation will be delivered. In total 8 patients will be recruited for this particular purpose. Targeted stimulation will be delivered to those channels associated with sHFOs and other areas which are not associated with sHFOs. The research team will test if the device can deliver stimulation to selected channels without any failure. The BIC system will not be implanted but used externally to deliver the stimulation. Outcome-3 does not test whether the system can control the seizures of the patients. It only investigates the feasibility of delivering closed-loop stimulation.
Secondary Outcome Measures
Full Information
NCT ID
NCT05439655
First Posted
June 19, 2022
Last Updated
January 11, 2023
Sponsor
University of Houston
Collaborators
Baylor College of Medicine, CorTec GmbH, National Institute of Neurological Disorders and Stroke (NINDS)
1. Study Identification
Unique Protocol Identification Number
NCT05439655
Brief Title
Acute Modulation of Stereotyped High-Frequency Oscillations
Official Title
Acute Modulation of Stereotyped High-Frequency Oscillations With a Closed-Loop Brain Interchange System in Drug-Resistant Epilepsy
Study Type
Interventional
2. Study Status
Record Verification Date
January 2023
Overall Recruitment Status
Recruiting
Study Start Date
September 1, 2021 (Actual)
Primary Completion Date
July 1, 2026 (Anticipated)
Study Completion Date
August 31, 2026 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Houston
Collaborators
Baylor College of Medicine, CorTec GmbH, National Institute of Neurological Disorders and Stroke (NINDS)
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
Yes
Product Manufactured in and Exported from the U.S.
No
Data Monitoring Committee
Yes
5. Study Description
Brief Summary
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.
Detailed Description
High-frequency oscillations (HFOs) of intracranial EEG (iEEG) have the potential to identify the surgical resection area/seizure onset zone (SOZ) in patients with drug-resistant epilepsy. However, multiple reports indicate that HFOs can be generated not only by epileptic cerebral tissue but also by non-epileptic sites often including eloquent regions such as motor, visual, and language cortices. In this project, the initial evidence of a recurrent waveform pattern is presented that may be sufficient to distinguish pathological HFOs from physiological ones. Specifically, the investigators show that the SOZ repeatedly generates sets of stereotypical HFOs with similar waveform morphology whereas the events recorded from out of SOZ were irregular. This morphological pattern served as a robust neurobiomarker to isolate SOZ from other brain areas in multiple patients consistently. While these promising preliminary results are in place, the functional utility of stereotyped HFOs in a closed-loop seizure control system remains unknown. As of today, not much is known whether the stereotyped HFOs generated by the SOZ can be detected with an implantable system. If this can be achieved, then HFOs can be strategically translated as a neurobiomarker into closed-loop seizure control applications. The investigators hypothesize that pathologic stereotyped HFOs can be captured with the implantable Brain Interchange (BIC) system of CorTec and spatial topography of these events can be utilized by the implantable system to deliver targeted electrical stimulation to achieve seizure control. Using an acute setup within the epilepsy monitoring unit (EMU), this project will investigate the feasibility of capturing stereotyped HFO events using the new BIC system and compare the detection results to those obtained with the commercially available amplifier (Aim-1). If the first phase (Aim-1) of the study becomes successful, later in the second phase (Aim-2), once again in the EMU, the investigators will deliver targeted electrical stimulation to those brain sites associated with stereotyped HFOs using the BIC.
During the entire study, the BIC system will not be implanted but used externally to assess the neural data through externalized electrodes and then deliver closed-loop stimulation. If the outcomes of the research in an acute setting become successful, the investigators will execute a clinical trial and run our methods with the implanted BIC system in a chronic ambulatory setting.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Epilepsy
Keywords
Neuromodulation, HFO, Epilepsy, Machine Learning, Closed-Loop
7. Study Design
Primary Purpose
Device Feasibility
Study Phase
Early Phase 1
Interventional Study Model
Sequential Assignment
Model Description
In a multi-phase structure, the project will investigate the feasibility of recording the HFOs with the BIC system (Cortec, Germany) and then delivering closed-loop stimulation.
In Phase-I, the feasibility of recording and transmitting iEEG data in robust fashion will be tested. For this 2 subjects will be recruited.
In Phase-II (if Phase-I is successful), the feasibility of capturing HFOs iEEG data with the implantable system will be tested. For this 10 subjects will be recruited.
In Phase-III (if Phase-II is successful), the feasibility of delivering of closed-loop stimulation with the implantable system will be tested. For this 8 subjects will be recruited.
Therefore, in this multiphase feasibility study, in total 20 subjects will be recruited in a sequential fashion. In each phase less than 10 subjects will be recruited to test device feasibility.
Masking
None (Open Label)
Allocation
N/A
Enrollment
20 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Epilepsy
Arm Type
Experimental
Arm Description
patients with drug resistant epilepsy undergoing a surgical evaluation in the epilepsy monitoring unit
Intervention Type
Device
Intervention Name(s)
Brain Interchange System
Intervention Description
The CorTec Brain Interchange (BIC) is an implantable system with sensing and stimulation capability dedicated to promoting brain computer interface and closed-loop neuromodulation research. It is an externally powered implant which can provide neural data to a nearby computing station (communication unit connected to a personal computer) continuously. In return, computing station controls the implant e.g. for generating therapeutic electrical stimulation to the brain. It is expected that BIC will catalyze translational applications of electroceuticals in human subject by making the neural data immediately available as well as permit the investigation of novel closed-loop neuromodulation applications.
Primary Outcome Measure Information:
Title
Robustness in Data Transmission
Description
Outcome-1 will quantify the feasibility of robust data recording and transmission with the BIC system in the epilepsy monitoring unit (EMU). The investigators will develop software tools to communicate with the BIC directly from MATLAB and Simulink. The incoming data from the implantable system will be visualized with gHIsys, the high-speed data processing libraries of gTec. At the end of the first year, in the epilepsy monitoring unit (EMU), the investigators will test the feasibility of recoding iEEG data from 2 patients continuously over 24 hours with less than <5% data loss. The BIC system will not be implanted but used externally to record the neural data. The research team will also test to record iEEG/ECoG data simultaneously with 2 BIC units to be ready for those cases where the number of recording channels are larger than =>32 and <=64. At this stage Outcome-1 is only related to the device feasibility (robust data transmission) not health related outcome.
Time Frame
Over 24 hours within the first year of project
Title
Feasibility of Detection of Stereotyped HFOs
Description
Outcome-2 will test the feasibility of capturing stereotyped HFO (sHFO) with the BIC system in the EMU setting. Once the feasibility of robust data transmission as listed in (Outcome-1) is tested, the neural activity will be recorded over 24 hours using the BIC system from 10 patients. The hardware will not be implanted but used externally to record the neural data. Then, the research team will compare whether the sHFO detection and SOZ localization accuracy is significantly different between the BIC and FDA approved amplifier. If the investigators can detect stereotyped HFOs with a rate not less than 75% of FDA approved clinical amplifier and predict the SOZ in 8/10 patients, then the research team will move to the second phase of the project to test Outcome-3. Outcome-2 tests the feasibility of capturing relevant neural events with the external BIC system and compares the recording quality to the FDA approved amplifiers. Outcome-2 does not test any health-related outcome.
Time Frame
Within the first 3 years of the project
Title
Feasibility of Delivering Closed-Loop Stimulation
Description
Outcome-3 will test the feasibility of delivering of closed-loop stimulation with the BIC system. If the detection of sHFO with the BIC system is feasible (Outcome-2), the investigators will start to test the online methods on the previously recorded datasets to isolate sHFOs in streaming iEEG/ECoG. Using the computer in the loop real-time system and the BIC, in the last 2 years, closed-loop stimulation will be delivered. In total 8 patients will be recruited for this particular purpose. Targeted stimulation will be delivered to those channels associated with sHFOs and other areas which are not associated with sHFOs. The research team will test if the device can deliver stimulation to selected channels without any failure. The BIC system will not be implanted but used externally to deliver the stimulation. Outcome-3 does not test whether the system can control the seizures of the patients. It only investigates the feasibility of delivering closed-loop stimulation.
Time Frame
In the 4th and 5th years of the project
10. Eligibility
Sex
All
Minimum Age & Unit of Time
3 Years
Maximum Age & Unit of Time
70 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
patients with medically refractory epilepsy, who have been deemed appropriate candidates for intracranial EEG monitoring
Adult men and women (18≤ age <70 years)
children (3≤ age <18 years)
includes women and minorities
Exclusion Criteria:
Subjects will be excluded if their condition makes them unable to continue with recordings.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Nuri F Ince, PhD
Phone
7137434461
Email
nfince@uh.edu
First Name & Middle Initial & Last Name or Official Title & Degree
Jay Gavvala, MD, MSCI
Phone
713-798-2273
Email
jrgavval@bcm.edu
Facility Information:
Facility Name
Baylor College of Medicine
City
Houston
State/Province
Texas
ZIP/Postal Code
77030-3498
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Jay Gavvala, MD, MSCI
Phone
713-798-2273
Email
jrgavval@bcm.edu
Facility Name
University of Houston
City
Houston
State/Province
Texas
ZIP/Postal Code
77204-2015
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Nuri Ince, PhD
Phone
713-743-4461
Email
nfince@uh.edu
12. IPD Sharing Statement
Plan to Share IPD
Yes
IPD Sharing Plan Description
Intracranial EEG + ECoG recorded from patients with epilepsy will be shared. The electrical signs of neural activity will be collected in the EMU for 24hrs. One stream of data will be digitized at 1kHz with 16bit resolution with the BIC system and the other stream with least a 2 kHz sampling frequency to capture HFOs reaching up to 500Hz.
Additionally, the closed-loop stimulation data with stimulation parameters including onset, duration, frequency, pulse width, and amplitude information will be shared. All collected data will be de-identified prior to data exchange. Patient data will be provided in a coded format that protects patient identities but will contain diagnosis (signs/symptoms), interventions including technical observations, diagnostic tests/results, and patient outcomes.
Information about the device delivering therapy including device serial numbers, device model numbers, date of the event, and country/state of the event will be annotated with the data and therapy
IPD Sharing Time Frame
Every 6 months
IPD Sharing Access Criteria
Data Archive for the BRAIN Initiative (DABI) - invasive human neurophysiology (including EEG, ECoG, LFP, single unit)
IPD Sharing URL
http://www.dandiarchive.org/
Learn more about this trial
Acute Modulation of Stereotyped High-Frequency Oscillations
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