Model-based Electrical Brain Stimulation
Primary Purpose
Medication Refractory Epilepsy Patients With Electrodes Already Implanted Based on Clinical Criteria for Standard Monitoring
Status
Recruiting
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
model-based electrical brain stimulation
Sponsored by
About this trial
This is an interventional basic science trial for Medication Refractory Epilepsy Patients With Electrodes Already Implanted Based on Clinical Criteria for Standard Monitoring focused on measuring deep brain stimulation, model-based stimulation, closed-loop stimulation, neural biomarkers of depression, neurotechnology, neuropsychiatric disorders, depression, brain-machine interface
Eligibility Criteria
Inclusion Criteria:
- Patients being evaluated for surgical treatment of medication refractory epilepsy and brain tumors will be studied. ONLY patients with electrodes implanted based on clinical criteria to locate their seizure focus will be studied. Most patients are healthy adults, outside of their epilepsy and/or brain tumor.
- Subjects >= 18 are only included in this study.
- All patients with the above conditions and with implanted electrode arrays who are willing to participate and able to cooperate and follow research instructions will be recruited. However, analysis of research recording data will focus on those subjects with an IQ >= 80, with no impairments of reading, naming, or articulation (to minimize confounds such as abnormal language processing that may affect their self-reporting with the questionnaire), and with no cerebral pathology affecting the cortical regions from which recordings are made.
Exclusion Criteria:
- Subjects < 18 years old will be excluded from this study due to the high concordance of developmental disorders (cognitive and language-related) in pediatric epilepsies.
- There will be no involvement of special classes of subjects, such as fetuses, neonates, pregnant women, children, prisoners, institutionalized individuals, or others who may be considered vulnerable populations.
- Patients who are unable to give informed consent due to a brain disorder will be excluded from the study, as it is very likely that they would be unable to carry out the tasks demanded by the study.
Sites / Locations
- University of Southern CaliforniaRecruiting
- University of California, San FranciscoRecruiting
Arms of the Study
Arm 1
Arm Type
Experimental
Arm Label
model-based electrical brain stimulation
Arm Description
Outcomes
Primary Outcome Measures
Decoded depression symptom ratings based on neural activity
A personalized decoder is trained for each patient using the recorded neural activity and self-reports. Then this decoder is used to estimate the biomarker purely from neural activity; that is, based on neural activity, it will return the estimation of depression symptom ratings (HAMD-6 or VAS self-reports)
Secondary Outcome Measures
Hamilton Depression Rating (HAMD-6) self-reports
Hamilton Depression Rating (HAMD-6) is a widely used questionnaire that measures depressive state severity and intervention response. It can range from 0 to 22, with 22 corresponding to the worst depression symptom. Self-reports are obtained intermittently from the patient.
Visual Analog Scale (VAS) self-reports
Visual Analog Scale (VAS) is a fast self-report validated against the Hamilton scale. It can range from 0 to 300, with 300 corresponding to the worst depression symptom. Self-reports are obtained intermittently from the patient.
Full Information
NCT ID
NCT05327387
First Posted
March 24, 2022
Last Updated
April 6, 2022
Sponsor
University of Southern California
Collaborators
National Institute of Mental Health (NIMH), University of California, San Francisco
1. Study Identification
Unique Protocol Identification Number
NCT05327387
Brief Title
Model-based Electrical Brain Stimulation
Official Title
Model-based Electrical Brain Stimulation
Study Type
Interventional
2. Study Status
Record Verification Date
April 2022
Overall Recruitment Status
Recruiting
Study Start Date
February 8, 2022 (Actual)
Primary Completion Date
March 31, 2026 (Anticipated)
Study Completion Date
March 31, 2026 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Southern California
Collaborators
National Institute of Mental Health (NIMH), University of California, San Francisco
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes
5. Study Description
Brief Summary
Neuropsychiatric disorders are a leading cause of disability worldwide with depressive disorders being one of the most disabling among them. Also, millions of patients do not respond to current medications or psychotherapy, which makes it critical to find an alternative therapy. Applying electrical stimulation at various brain targets has shown promise but there is a critical need to improve efficacy.
Given inter- and intra-subject variabilities in neuropsychiatric disorders, this study aims to enable personalizing the stimulation therapy via i) tracking a patient's own symptoms based on their neural activity, and ii) a model of how their neural activity responds to stimulation therapy. The study will develop the modeling elements needed to realize a model-based personalized closed-loop system for electrical brain stimulation to achieve this aim.
The study will provide proof-of-concept demonstration in epilepsy patients who already have intracranial electroencephalography (iEEG) electrodes implanted for their standard clinical monitoring unrelated to this study, and who consent to being part of the study.
Detailed Description
The investigators will conduct the study for each subject during their stay in the epilepsy monitoring unit (EMU), which is dictated purely based on their standard clinical needs unrelated to our study. iEEG will be recorded from each patient throughout their stay in the EMU, during which the self-reports from them will be also intermittently collected using validated questionnaires that relate to depression symptoms.
The investigators will build decoders that can track these depression symptoms from iEEG activity. The investigators will also apply electrical stimulation to learn a personalized input-output model that predicts the iEEG response to ongoing stimulation. The resulting personalized decoder and the input-output model will be combined to achieve model-based personalization of stimulation therapy.
Successful completion of this study will help enable precisely-tailored deep brain stimulation therapies across diverse conditions and have a broad public health impact.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Medication Refractory Epilepsy Patients With Electrodes Already Implanted Based on Clinical Criteria for Standard Monitoring
Keywords
deep brain stimulation, model-based stimulation, closed-loop stimulation, neural biomarkers of depression, neurotechnology, neuropsychiatric disorders, depression, brain-machine interface
7. Study Design
Primary Purpose
Basic Science
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
In each patient, the investigators will test the decoders of the symptom level and the input-output models of the neural response to stimulation therapy.
Masking
None (Open Label)
Allocation
N/A
Enrollment
25 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
model-based electrical brain stimulation
Arm Type
Experimental
Intervention Type
Other
Intervention Name(s)
model-based electrical brain stimulation
Intervention Description
Electrical pulse train stimulation delivered to medication refractory epilepsy patients with electrodes already implanted based on clinical criteria for standard monitoring unrelated to this study. The delivery of the electrical brain stimulation can be guided by neural biomarkers of symptom levels computed from ongoing neural activity and by input-output models of neural response to stimulation therapy. The parameters of electrical stimulation will be constrained to be within clinically safe ranges.
Primary Outcome Measure Information:
Title
Decoded depression symptom ratings based on neural activity
Description
A personalized decoder is trained for each patient using the recorded neural activity and self-reports. Then this decoder is used to estimate the biomarker purely from neural activity; that is, based on neural activity, it will return the estimation of depression symptom ratings (HAMD-6 or VAS self-reports)
Time Frame
5-10 days
Secondary Outcome Measure Information:
Title
Hamilton Depression Rating (HAMD-6) self-reports
Description
Hamilton Depression Rating (HAMD-6) is a widely used questionnaire that measures depressive state severity and intervention response. It can range from 0 to 22, with 22 corresponding to the worst depression symptom. Self-reports are obtained intermittently from the patient.
Time Frame
5-10 days
Title
Visual Analog Scale (VAS) self-reports
Description
Visual Analog Scale (VAS) is a fast self-report validated against the Hamilton scale. It can range from 0 to 300, with 300 corresponding to the worst depression symptom. Self-reports are obtained intermittently from the patient.
Time Frame
5-10 days
10. Eligibility
Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Patients being evaluated for surgical treatment of medication refractory epilepsy and brain tumors will be studied. ONLY patients with electrodes implanted based on clinical criteria to locate their seizure focus will be studied. Most patients are healthy adults, outside of their epilepsy and/or brain tumor.
Subjects >= 18 are only included in this study.
All patients with the above conditions and with implanted electrode arrays who are willing to participate and able to cooperate and follow research instructions will be recruited. However, analysis of research recording data will focus on those subjects with an IQ >= 80, with no impairments of reading, naming, or articulation (to minimize confounds such as abnormal language processing that may affect their self-reporting with the questionnaire), and with no cerebral pathology affecting the cortical regions from which recordings are made.
Exclusion Criteria:
Subjects < 18 years old will be excluded from this study due to the high concordance of developmental disorders (cognitive and language-related) in pediatric epilepsies.
There will be no involvement of special classes of subjects, such as fetuses, neonates, pregnant women, children, prisoners, institutionalized individuals, or others who may be considered vulnerable populations.
Patients who are unable to give informed consent due to a brain disorder will be excluded from the study, as it is very likely that they would be unable to carry out the tasks demanded by the study.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Maryam M Shanechi, PhD
Phone
213-740-1377
Email
shanechi@usc.edu
First Name & Middle Initial & Last Name or Official Title & Degree
Omid G Sani, PhD
Phone
213-740-1377
Email
ghasemsa@usc.edu
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Maryam M Shanechi, PhD
Organizational Affiliation
University of Southern California
Official's Role
Principal Investigator
Facility Information:
Facility Name
University of Southern California
City
Los Angeles
State/Province
California
ZIP/Postal Code
90089
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Maryam Shanechi, PhD
Phone
213-740-1377
Email
shanechi@usc.edu
First Name & Middle Initial & Last Name & Degree
Maryam M Shanechi, PhD
Facility Name
University of California, San Francisco
City
San Francisco
State/Province
California
ZIP/Postal Code
94143
Country
United States
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Edward F Chang, MD
Phone
415-502-7346
Email
edward.chang@ucsf.edu
First Name & Middle Initial & Last Name & Degree
Edward F Chang, MD
12. IPD Sharing Statement
Plan to Share IPD
Yes
IPD Sharing Plan Description
Upon completion of the study and after publication, fully de-identified IPD can be made available for research purposes.
IPD Sharing Time Frame
The sharing will happen upon completion of the study and after publication.
IPD Sharing Access Criteria
Data will be accessed through data publishing platforms such as the NIH/NIMH Data Archive (NDA).
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Model-based Electrical Brain Stimulation
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