rEEG Guided Pharmacotherapy of Subjects With Depression Treatment Failure
NCT00437827 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 120
Last updated 2009-10-27
Summary
This study is testing a process (rEEG)for selecting the most appropriate medication(s) to treat a patient's depression versus a control group being treated according to a standardized method, the modified Star\*D Algorithm. Qualified subjects will be randomized to the experimental (rEEG guided) group, or the control group and treated for 12 weeks. Medications utilized in this study are currently marketed. All visits, physical exam, rEEG, labs, rating scales and medications are provided at no cost to the patient.
Conditions
- Depressive Disorder
Interventions
- OTHER
-
Star*D algorithm
Standard of care based upon the therapies selected in the Star\*D study.
- OTHER
-
rEEG-guided therapy
An rEEG report is based upon a process that utilizes a patient's drug-free QEEG to predict successful treatment strategies.
Sponsors & Collaborators
-
MYnd Analytics
lead INDUSTRY
Principal Investigators
-
Charles DeBattista, MD · Stanford University
-
Gustavo Kinrys, M.D. · Cambridge Hospital
-
Steven G Potkin, MD · University of California, Irvine
-
Daniel Hoffman, MD · MYnd Analytics
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2006-08-31
- Primary Completion
- 2009-10-31
- Completion
- 2009-10-31
Countries
- United States
Study Locations
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