- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07294924
Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements (PREDICT-ACC)
PREDICT-ACC: Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements
This observational, longitudinal, multi-cohort study aims to evaluate functional brain activity in adults undergoing treatment for Major Depressive Disorder (MDD) at participating clinical sites. A separate cohort of healthy adults will be enrolled as a control group. All data collected in this study are for research purposes only and will not influence clinical decision-making or treatment plans.
This study will use TD-fNIRS to measure hemodynamic brain responses at rest and/or during tasks in patients receiving accelerated transcranial magnetic stimulation (TMS). Imaging will occur at multiple timepoints (pre-treatment, post-treatment, and follow-ups). Healthy control participants will complete similar measurements at one visit, with the option for a follow-up visit. The primary objectives are to assess feasibility, characterize brain activity patterns, and explore potential biomarkers associated with treatment response.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Katherine Perdue, PhD VP, Applied Science & Clinical Research, PhD
- Phone Number: 323-238-9225
- Email: research@kernel.com
Study Contact Backup
- Name: Moriah Taylor Research Project Manager
- Phone Number: 323-238-9225
- Email: research@kernel.com
Study Locations
-
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California
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Los Angeles, California, United States, 90232
- Not yet recruiting
- Kernel
-
Principal Investigator:
- Katherine Perdue, PhD
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Sunnyvale, California, United States, 94087
- Recruiting
- Acacia Clinics
-
Sub-Investigator:
- Noah DeGaetano, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria for:
Accelerated TMS cohort
- Adults aged 18-75 at the time of enrollment
- Primary diagnosis of MDD as defined by the DSM-5
- Determined by the clinic to be eligible for accelerated rTMS treatment and agrees to receive accelerated rTMS treatment
- Agrees to start accelerated rTMS treatment in conjunction with study participation to capture baseline measurements
- Has not received rTMS treatment in the past 1 month
- Has not received SPRAVATO treatment in the past 1 month
- Can speak and understand English
- Ability to provide informed consent
Healthy controls cohort
- Adults aged 18-75 at time of enrollment
- Can speak and understand English
- Ability to provide informed consent
Exclusion Criteria for:
All cohorts
- Pregnant or may become pregnant during the treatment course
- Unable or unwilling to wear the fNIRS headset
- Has had electroconvulsive therapy (ECT) in the past 3 months
- Major medical illnesses including neurological and psychiatric conditions such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, schizophrenia, or stroke.
- Any other clinically significant medical condition that in the opinion of the clinician or study team, could affect patient safety, wellbeing, or the participant's ability to comply with study procedures.
- Not an appropriate candidate for the study based on the discretion of the study investigator(s).
Healthy controls cohort only
- Clinical diagnosis of depression in the past year
- Undergoing any treatments for depression in the past year
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Accelerated TMS Cohort
Participants who have previously been diagnosed with MDD and have elected to undergo accelerated TMS to treat their depression at a participating clinic will be enrolled in the study.
|
Kernel Flow is a non-invasive neuroimaging device that uses time-domain functional near-infrared spectroscopy (TD-fNIRS) to measure changes in cortical hemodynamics associated with brain activity.
Other Names:
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Healthy Controls Cohort
Participants with no diagnosis of depression and no depression-related treatment within the past year will be enrolled as the control group.
|
Kernel Flow is a non-invasive neuroimaging device that uses time-domain functional near-infrared spectroscopy (TD-fNIRS) to measure changes in cortical hemodynamics associated with brain activity.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
TD-fNIRS Biomarkers of Treatment Response and Group Differences
Time Frame: Up to 20 minutes during each study visit
|
To gather hemodynamic data with TD-fNIRS and develop biomarkers of depression treatment response and group differences between patients and controls. Candidate markers to relate to clinician assessments are:
|
Up to 20 minutes during each study visit
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Katherine Perdue, PhD, Kernel
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- KER2025-1-PREDICT-ACC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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