| Title | Rostral anterior cingulate cortex theta current density and response to antidepressants and placebo in major depression. | | Author(s) | Korb AS, Hunter AM, Cook IA, Leuchter AF | | Institution | Laboratory of Brain, Behavior, and Pharmacology, Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024-1759, USA. alexkorb@ucla.edu | | Source | Clin Neurophysiol 2009 Jul; 120(7):1313-9. | | MeSH | Adolescent
Adult
Aged
Aged, 80 and over
Antidepressive Agents
Biological Markers
Brain Mapping
Cerebral Cortex
Cyclohexanols
Depression
Double-Blind Method
Electroencephalography
Female
Fluoxetine
Gyrus Cinguli
Humans
Male
Middle Aged
Theta Rhythm
Treatment Outcome
Young Adult
| | Abstract | OBJECTIVE: To assess whether pretreatment theta current density in the rostral anterior cingulate (rACC) and medial orbitofrontal cortex (mOFC) differentiates responders from non-responders to antidepressant medication or placebo in a double-blinded study.
METHODS: Pretreatment EEGs were collected from 72 subjects with Major Depressive Disorder (MDD) who participated in one of three placebo-controlled trials. Subjects were randomized to receive treatment with fluoxetine, venlafaxine, or placebo. Low-resolution brain electromagnetic tomography (LORETA) was used to assess theta current density in the rACC and mOFC.
RESULTS: Medication responders showed elevated rACC and mOFC theta current density compared to medication non-responders (rACC: p=0.042; mOFC: p=0.039). There was no significant difference in either brain region between placebo responders and placebo non-responders.
CONCLUSIONS: Theta current density in the rACC and mOFC may be useful as a biomarker for prediction of response to antidepressant medication.
SIGNIFICANCE: This is the first double-blinded treatment study to examine pretreatment rACC and mOFC theta current density in relation to antidepressant response and placebo response. Results support the potential clinical utility of this approach for predicting clinical outcome to antidepressant treatments in MDD. | | Language | eng | | Pub Type(s) | Journal Article
Randomized Controlled Trial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
| | PubMed ID | 19539524 |
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