Quantitative EEG (QEEG) as a Predictor of Treatment Outcome in Depression

Major Depressive Disorder Clinical Trial

Official title: The Use of Quantitative EEG (QEEG) as a Predictor of Treatment Outcome in Major Depressive Disorder

Status Completed

Clinical Trial Summary

The purpose of the study is to try to see if antidepressant medications cause changes in QEEG measurements in the brain. QEEG is a mathematical analysis of electrical currents in the brain using electrodes placed on the scalp. Previous studies have shown that mood improvement (clinical response) caused by antidepressant medications was preceded by changes in QEEG measurements in the brain.

Clinical Trial Description

Despite the availability of effective clinical treatments for major depressive disorder (MDD), 30-40% of subjects with MDD still fail to respond significantly to antidepressant treatment (Fava and Davidson, 1996). In the absence of biological predictors of treatment outcome in MDD, clinicians face a difficult dilemma in selecting an antidepressant treatment.

Currently we have only preliminary knowledge on the mechanisms and the biological correlates of treatment response in MDD (Mayberg et al, 1997 and 1999). Functional neuroimaging studies have demonstrated decreased metabolism and glucose consumption in specific limbic and paralimbic brain areas which are related to affective regulation. Quantitative EEG (QEEG) studies in subjects with MDD have revealed other functional brain abnormalities, such as decreased power in the EEG theta wave band. Studies with auditory evoked potentials have shown P300 latency in subjects with MDD. Moreover, some quantitative EEG parameters (e.g., cordance), appear to predict clinical response to antidepressants.

The principal aim of this study is to identify, by measuring QEEG, predictors and correlates of treatment response in a group of patients with MDD. We will also carry out exploratory analyses to identify correlations between QEEG metrics and multiple clinical parameters of depressed subjects: gender, age, chronicity of depression, age of onset, comorbid anxiety, atypical and melancholic depressive subtypes.

Our understanding of the relationship between treatment outcome in MDD and EEG measurements promises to provide clinically useful information for selecting antidepressant treatments; it can also provide important information useful in the early testing of new compounds with putative antidepressant efficacy. Furthermore, the knowledge gained and techniques used may help shed light on the pathophysiology of major depression and perhaps other neuropsychiatric disorders associated with depressed mood. ;

Study Design

Allocation: Non-Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Treatment

Related Conditions & MeSH terms

• Depression
• Depressive Disorder
• Depressive Disorder, Major
• Major Depressive Disorder

• NCT number: NCT00157547
• Study type: Interventional
• Source: Massachusetts General Hospital
• Status: Completed
• Phase: Phase 4
• Start date: April 2003
• Completion date: August 2006