Brain-Based Biomarkers in Response to TMS in MDD
Longitudinal, Prospective Study to Examine the Brain-based Biomarkers of Response to Transcranial Magnetic Stimulation Treatment in Major Depressive Disorder
1 other identifier
observational
54
1 country
1
Brief Summary
The overarching goal of this research program is to elucidate causal and directional neural network- level abnormalities in depression, and how they are modulated by an individually-tailored, circuit-directed intervention. By using concurrent TMS and EEG, the investigators can overcome a major limitation of EEG - the inability to demonstrate causality. Here, we plan to recruit patients with medication-resistant depression undergoing rTMS treatment. At multiple time points, we will perform TMS-EEG to investigate the excitability and connectivity profiles of brain networks and how they are modulated during treatment. This study aims to provide objective brain network measures that can predict and track clinical response to TMS treatment. Findings from this study will be utilized to develop a novel, personalized treatment protocol based on individual brain networks.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2016
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 1, 2016
CompletedFirst Submitted
Initial submission to the registry
July 20, 2016
CompletedFirst Posted
Study publicly available on registry
July 25, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2019
CompletedJune 23, 2022
June 1, 2022
3.8 years
July 20, 2016
June 17, 2022
Conditions
Outcome Measures
Primary Outcomes (1)
TMS-EEG
From pre- to post-treatment, improvement will be based on enhanced excitability and connectivity
Up to 3 months
Study Arms (1)
rTMS
rTMS will be delivered for 20 sessions over 4 weeks. Active 10 Hz rTMS will be delivered to the left DLPFC as assessed by either the 5cm rule or F3 site. Daily treatment regiments will last 36.5 minutes and rTMS will be delivered at 120% of the participant's motor threshold. Participants will be monitored during the rTMS sessions for adverse events and/or side effects.
Interventions
Eligibility Criteria
Community care clinic
You may qualify if:
- Men and women, ages 18 to 60
- Medication-resistant depression as assessed by psychiatrist
- Must comprehend English well to ensure adequate comprehension of the EEG and TMS instructions, and of clinical scales
- Has failed \>1 previous adequate antidepressant medication trials
- Right-handed
- No current or history of neurological disorders
- No seizure disorder or risk of seizures
- No use of PRN medication within 48 hours of the scheduled study appointment
You may not qualify if:
- Any unstable medical condition, any significant CNS neurological condition such as stroke, seizure, tumor, hemorrhage, multiple sclerosis, etc
- Current electroconvulsive therapy (ECT) or prior treatment failure with ECT
- Currently pregnant or breastfeeding
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Stanford University
Palo Alto, California, 94304, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Corey Keller, MD PhD
Stanford University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Psychiatry and Behavioral Sciences
Study Record Dates
First Submitted
July 20, 2016
First Posted
July 25, 2016
Study Start
March 1, 2016
Primary Completion
December 1, 2019
Study Completion
December 1, 2019
Last Updated
June 23, 2022
Record last verified: 2022-06
Data Sharing
- IPD Sharing
- Will not share