Changes in prefrontal activity characterize clinical response in SSRI nonresponders: a pilot study.
- Authors
- Cook, Ian A; Leuchter, Andrew F; Morgan, Melinda L; Stubbeman, William; Siegman, Barbara; Abrams, Michelle
- Year
- 2005
- Journal
- Journal of psychiatric research
- PMID
- 15992554
- DOI
- 10.1016/j.jpsychires.2004.12.002
Previous studies in unipolar depression have shown that early decreases in prefrontal values of the QEEG cordance measure identified responders to pharmacotherapy. These studies have all examined individuals who were drug-free prior to the first physiologic assessment, yet in the clinical management of treatment resistant depression (TRD), many patients undergo changes in treatment without a drug-free interval between treatments. Here, we investigated whether cordance decreases were associated with response in Stage I TRD subjects without wash-out between treatment trials. Awake EEGs were recorded from 12 adults with unipolar depression. Subjects were receiving naturalistic treatment, had failed SSRI monotherapy, and were starting a new treatment prescribed by their treating psychiatrists. EEG data were recorded before starting the new treatment and after approximately 1 week. Six of the 12 subjects responded to treatment after 8--10 weeks. Five of the six responders showed an early cordance decreases, compared with two of the six nonresponders (accurate characterization in 75% of the cases). Consistent with previous treatment trials, decreases in prefrontal cordance differentiated responders from nonresponders in this setting as well. These findings suggest that cordance biomarkers may be a useful tool in effectiveness trials that parallel clinical practices in SSRI nonresponders, and may not require a wash-out period between treatments.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Advances in Electrophysiological Research. | 2015 | 26259089 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| The Predictive Role of Quantitative Electroencephalography in Evaluation of Responsiveness of Obsessive-compulsive Disorder Patients to Fluvoxamine. | Sayadnasiri M et al. | β | 2025 | β |
| QEEG Predictors of Treatment Response in Major Depressive Disorder- A Replication Study from Northwest India. | Singh A et al. | β | 2024 | β |
| Resting-state EEG delta and alpha power predict response to cognitive behavioral therapy in depression: a Canadian biomarker integration network for depression study. | Schwartzmann B et al. | β | 2023 | β |
| Retrospective analysis of quantitative electroencephalography changes in a dissimulating patient after dying by suicide: A single case report. | RakΓΊs T et al. | β | 2023 | β |
| Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021. | Yao S et al. | β | 2022 | β |
| Psychiatric Neural Networks and Precision Therapeutics by Machine Learning. | Komatsu H et al. | β | 2021 | β |
| Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression. | Zhdanov A et al. | β | 2020 | β |
| Depression and Sleep. | Steiger A et al. | β | 2019 | β |
| Early change of prefrontal theta cordance and occipital alpha asymmetry in the prediction of responses to antidepressants. | Bares M et al. | β | 2019 | β |
| Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis. | Widge AS et al. | β | 2019 | β |
| Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal. | Hasanzadeh F et al. | β | 2019 | β |
| Time Course of Changes in Peripheral Blood Gene Expression During Medication Treatment for Major Depressive Disorder. | Cook IA et al. | β | 2019 | β |
| Heart rate variability and cordance in rapid eye movement sleep as biomarkers of depression and treatment response. | Pawlowski MA et al. | β | 2017 | β |
| In patients suffering from major depressive disorders, quantitative EEG showed favorable changes in left and right prefrontal cortex. | Haghighi M et al. | β | 2017 | β |
| Progress in Elucidating Biomarkers of Antidepressant Pharmacological Treatment Response: A Systematic Review and Meta-analysis of the Last 15 Years. | Voegeli G et al. | β | 2017 | β |
| The Comparison of Effectiveness of Various Potential Predictors of Response to Treatment With SSRIs in Patients With Depressive Disorder. | Bares M et al. | β | 2017 | β |
| Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis. | Knyazev GG et al. | β | 2016 | β |
| Advances in Electrophysiological Research. | Kamarajan C et al. | β | 2015 | β |
| QEEG Theta Cordance in the Prediction of Treatment Outcome to Prefrontal Repetitive Transcranial Magnetic Stimulation or Venlafaxine ER in Patients With Major Depressive Disorder. | Bares M et al. | β | 2015 | β |
| The effectiveness of prefrontal theta cordance and early reduction of depressive symptoms in the prediction of antidepressant treatment outcome in patients with resistant depression: analysis of naturalistic data. | Bares M et al. | β | 2015 | β |
| Are there meaningful biomarkers of treatment response for depression? | Breitenstein B et al. | β | 2014 | β |
| Do prefrontal midline electrodes provide unique neurophysiologic information in Major Depressive Disorder? | Cook IA et al. | β | 2014 | β |
| Personalized Medicine in ADHD and Depression: Use of Pharmaco-EEG. | Arns M et al. | β | 2014 | β |
| Resting-state brain activation correlates with short-time antidepressant treatment outcome in drug-naΓ―ve patients with major depressive disorder. | Wang LJ et al. | β | 2014 | β |
| Baseline and treatment-emergent EEG biomarkers of antidepressant medication response do not predict response to repetitive transcranial magnetic stimulation. | Widge AS et al. | β | 2013 | β |
| EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response. | Olbrich S et al. | β | 2013 | β |
| Surrogate markers of treatment outcome in major depressive disorder. | Papakostas GI | β | 2012 | β |
| The change of QEEG prefrontal cordance as a response predictor to antidepressive intervention in bipolar depression. A pilot study. | Bares M et al. | β | 2012 | β |
| Electroencephalography-derived biomarkers of antidepressant response. | Iosifescu DV | β | 2011 | β |
| Evaluation of quantitative EEG by classification and regression trees to characterize responders to antidepressant and placebo treatment. | Rabinoff M et al. | β | 2011 | β |
| The emerging use of technology for the treatment of depression and other neuropsychiatric disorders. | Howland RH et al. | β | 2011 | β |
| The use of the EEG in measuring therapeutic drug action: focus on depression and antidepressants. | Alhaj H et al. | β | 2011 | β |
| Biomarkers to predict antidepressant response. | Leuchter AF et al. | β | 2010 | β |
| Brain functional changes (QEEG cordance) and worsening suicidal ideation and mood symptoms during antidepressant treatment. | Hunter AM et al. | β | 2010 | β |
| Cordance or antidepressant treatment response (ATR) index? | Kuo CC et al. | β | 2010 | β |
| Subanesthetic dose of ketamine decreases prefrontal theta cordance in healthy volunteers: implications for antidepressant effect. | Horacek J et al. | β | 2010 | β |
| The change of prefrontal QEEG theta cordance as a predictor of response to bupropion treatment in patients who had failed to respond to previous antidepressant treatments. | Bares M et al. | β | 2010 | β |
| The use of background EEG activity to determine stimulus timing as a means of improving rTMS efficacy in the treatment of depression: a controlled comparison with standard techniques. | Price GW et al. | β | 2010 | β |
| Wake and sleep EEG provide biomarkers in depression. | Steiger A et al. | β | 2010 | β |
| Brain functional changes and duloxetine treatment response in fibromyalgia: a pilot study. | Hunter AM et al. | β | 2009 | β |
| Frontal EEG predictors of treatment outcome in major depressive disorder. | Iosifescu DV et al. | β | 2009 | β |
| Midline and right frontal brain function as a physiologic biomarker of remission in major depression. | Cook IA et al. | β | 2009 | β |
| Use of clinical neurophysiology for the selection of medication in the treatment of major depressive disorder: the state of the evidence. | Leuchter AF et al. | β | 2009 | β |
| Changes in brain function during administration of venlafaxine or placebo to normal subjects. | Leuchter AF et al. | β | 2008 | β |
| Early reduction in prefrontal theta QEEG cordance value predicts response to venlafaxine treatment in patients with resistant depressive disorder. | Bares M et al. | β | 2008 | β |
| Improving the prediction of treatment response in depression: integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. | Kemp AH et al. | β | 2008 | β |
| Predictors, moderators, and mediators (correlates) of treatment outcome in major depressive disorder. | Papakostas GI et al. | β | 2008 | β |
| Changes in QEEG prefrontal cordance as a predictor of response to antidepressants in patients with treatment resistant depressive disorder: a pilot study. | Bares M et al. | β | 2007 | β |
| The promise of the quantitative electroencephalogram as a predictor of antidepressant treatment outcomes in major depressive disorder. | Hunter AM et al. | β | 2007 | β |