Predictors of Treatment Outcome With Cognitive Behavioral Therapy for Depression
Completed · Not applicable
Conditions studied: Major Depressive Disorder
In brief
The purpose of this research study is to learn whether specific types of brain imaging and psychological testing can predict how much benefit patients with depression will receive from a well-studied psychotherapy for depression, called cognitive behavioral therapy (CBT), and how the brain imaging and psychological tests change with treatment. We will also be comparing brain scans from this study between individuals suffering from depression and volunteers without depression. This study offers 14 sessions of one-on-one cognitive-behavioral therapy (CBT) over twelve weeks, administered by an experienced doctoral-level psychologist or psychiatrist.
Key facts
- Study ID
- NCT01922219
- Run by
- New York State Psychiatric Institute
- People needed
- 37
- Starts
- 2009-12-01
- Expected to finish
- 2015-08-01
- Last updated by the study team
- 2017-09-19
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- In a current major depressive episode
- If currently on medications, lack of benefit after an adequate trial. If currently on medications, willing and able to tolerate a medication washout.
- Ability to provide an informed consent
- For healthy volunteers, no current or past history of depression
You may not qualify if…
- Unstable medical conditions
- Current alcohol or substance abuse or dependence
- Current or past history of other major psychiatric disorders such as Bipolar disorder, schizophrenia, or other psychotic illnesses (Anxiety in depressed participants is okay)
- For females, current pregnancy
- Dementia or neurological disease or head trauma with evidence of cognitive impairment
- Currently taking fluoxetine
- Contraindication to CBT
- Presence of metal in body
- Claustrophobia
- Weight > 350 pounds
Where it is running
- New York State Psychiatric Institute — New York, New York, United States
Full record on ClinicalTrials.gov
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