Combining H1-Coil Deep Transcranial Magnetic Stimulation (dTMS) and App-guided CBT in Subjects With Major Depression Disorder (MDD)
Purpose
A naturalistic study design, in which dTMS patients will be randomized to get a free add-on CBT treatment. The dTMS procedure will include treatment as usual, and participants will use the app from post randomization (Pre-treatment is defined as measures from the first three days of treatment) to the end of dTMS treatment (Post-treatment which is defined as measures from after twenty TMS sessions over a minimum of four weeks), and for an additional three months of FU (FU).
Condition
- Data Collection for Facilitation of Machine Learning Algorithm for Personalized Treatment
Eligibility
- Eligible Ages
- Between 22 Years and 68 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Adult outpatients accepted to treatment as usual dTMS with a Primary DSM-V diagnosis of Major Depression, single or recurrent episode - Capable and willing to provide informed consent - In a possession of a Smartphone capable of running the GGDE app. - Able to adhere to the treatment schedule.
Exclusion Criteria
Investigators, site personnel directly affiliated with this study, and their immediate families (immediate family is defined as a spouse, parent, child or sibling, whether by birth or legal adoption). -
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Recruiting Locations
San Diego, California 92037
Juno Beach, Florida 33408
Palm Beach, Florida 33480
Elyssa Sisko
561-333-8884
Royal Palm Beach, Florida 33411
Annapolis, Maryland 21401
Columbia, Maryland 21045
Frederick, Maryland 21701
Glen Burnie, Maryland 21061
Greenbelt, Maryland 20770
Kensington, Maryland 20895
Olney, Maryland 20832
Rockville, Maryland 20850
O'Fallon, Missouri 63368
Saint Louis, Missouri 63128
Saint Louis, Missouri 63141
Chapel Hill, North Carolina 27517
Greensboro, North Carolina 27410
Matthews, North Carolina 28105
Raleigh, North Carolina 27607
Glen Allen, Virginia 23059
McLean, Virginia 22102
Newport News, Virginia 23606
More Details
- NCT ID
- NCT04455646
- Status
- Unknown status
- Sponsor
- Brainsway
Detailed Description
Participants will be recruited from those attending dTMS clinics around the world (i.e.,naturalistic study design), and consenting individuals (in person consent done in the clinic on paper) will be given a random user code. This code will be specific for their version of the app, and the only link between their signature and the code will remain at the site for auditing purposes. Participants will undergo treatment as usual of dTMS and will use GGDE twice a day. Participants will be asked to complete demographic and clinical questionnaires via the GGDE app, and relevant clinical questionnaires will be re-administered following treatment and during FU. The initial and all following dTMS sessions will involve patients going through the stimulation procedure (The operator will record stimulation variables such as individual patient's intensity of stimulation and coil location into GGDE) followed by 5 min of GGDE use. The patient will indicate which statements (in that session) were most relevant and challenging to them, which will be followed by a pre-prepared psycho-education paragraph about the specific maladaptive belief addressed by the app that day. The patient will then be prompted to use the app one more time at home during the same day. Patient will continue similar use during FU, with two GGDE usage each day. The naturalistic design will allow the accumulation of large quantities of data in a short period of time, aiming to optimize GGDE using machine learning. Importantly, GGDE will allow the random allocation of users to different GGDE modules of the app (i.e., similar app versions with changes in specific parameters related to different depressive traits). One out of the ten modules used in this trial will include neutral (placebo) stimuli requiring the user to respond to plus/minus signs rather than MDD relevant statements.