Predicting the Efficacy of Antidepressant Treatment
A novel study suggests effective treatment of depression may involve a variety of factors, more so than just prescribed medication. In a UCLA study, electroencephalogram (EEG) measurements demonstrated that brain activity changes, caused by nondrug factors, predict the efficacy of antidepressant treatment.
The findings, discovered by analysis of brain activity during a placebo-lead in period (before receiving antidepressant medications) found factors such as patient beliefs and expectations, doctor-patient relationships, or treatment history may be important components of the treatment picture.
The study, published in the August 2006 edition of the American Journal of Psychiatry, used EEG measurements to demonstrate an association between eventual clinical outcome and regional changes in brain activity during a placebo lead-in phase prior to antidepressant treatment.
For the investigation, all subjects received blinded treatment with placebo for one week prior to receiving antidepressant medication. A “placebo lead-in” phase is commonly used to familiarize patients with study procedures and to minimize the effect of any pre-existing treatment for depression. The placebo lead-in includes patient care, participation and treatment with placebo; the clinical impact is largely unknown.
Treatment results appear to be predicted, in part, by changes in brain activity found during placebo lead-in–prior to the actual use of antidepressant medication,” said lead author Aimee M. Hunter, a research associate at the Semel Institute for Neuroscience and Human Behavior at UCLA.
“More research is needed to identify the impact of other non-drug factors that affect brain activity and clinical improvement in patients receiving antidepressant treatment.” Semel Institute researchers examined data from 51 adults with major depression who were involved in two independent, double-blind placebo-controlled trials.
Quantitative EEG cordance measures were taken at baseline and at the end of the placebo lead-in period. Cordance is a quantitative EEG (QEEG) imaging technique developed at UCLA to measure brain function. Measurements are performed by placing recording electrodes on the scalp. The electrodes connect to the body through conductive paste or gel. It does not hurt and involves no radioactivity. The electrodes are connected to a computer, which measures the signals coming from the brain and processes them into colorful patterns.
Relationships between regional cordance changes at the end of the placebo lead-in period and clinical outcome were examined using a statistical tool called multiple linear regression analysis. Final outcomes were determined using Hamilton Rating Scale for Depression scores.
The study found that decreases in cordance in the prefrontal brain region during the placebo lead-in period were associated with lower depression-scale scores after eight weeks of antidepressant treatment. In subjects randomly assigned to medication, prefrontal changes during placebo lead-in explained 19 percent of the variance in final depression scores.
Nauert PhD, R. (2015). Predicting the Efficacy of Antidepressant Treatment. Psych Central. Retrieved on March 19, 2018, from https://psychcentral.com/news/2006/08/01/predicting-the-efficacy-of-antidepressant-treatment/144.html