Recent meta-analyses point to the relatively low efficacy of commonly used antidepressant medica-tions. Selecting the most effective medications for depressed subjects having failed previous treat-ments is especially difficult. There is a clear need for objective biomarkers that could assist and optimize such treatment selection. We will review here a growing body of evidence suggesting that several electroencephalography (EEG)-based methods may be useful for predicting antidepressant response and eventually for guiding clinical treatment decisions. While most of these methods are based on resting-state EEGs (e.g., alpha- and theta-band EEG abnormalities, the combined Antide-pressant Response Index (ATR), cordance, referenced EEG), others i...
Several electroencephalogram (EEG) biomarkers for prediction of drug response in major depressive di...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...
The usage of EEG in the clinical diagnosis of psychiatric disorders has been a matter of debate for ...
Using pre-treatment biomarkers to guide patients to the preferred antidepressant medication treatmen...
The primary aim of this dissertation was to investigate the value of neurophysiological biomarkers m...
Major depressive disorder (MDD) has high population prevalence and is associated with substantial im...
Major depressive disorder (MDD) has high population prevalence and is associated with substantial im...
This paper reviews significant contributions to the evidence for the use of quantitative electroence...
Despite the significance of major depressive disorder, objective procedures for selecting optimal tr...
International audienceIntroduction: An important approach to improve the therapeutic effect of elect...
Item does not contain fulltextPersonalized medicine in psychiatry is in need of biomarkers that rese...
Certain electrophysiological markers hold promise in distinguishing individuals with major depressiv...
The aim of this study was to investigate if biomarkers in QEEG, genetic and neuropsychological measu...
Management of Major Depressive Disorder (MDD) might be improved by a biomarker to predict whether a ...
Several electroencephalogram (EEG) biomarkers for prediction of drug response in major depressive di...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...
The usage of EEG in the clinical diagnosis of psychiatric disorders has been a matter of debate for ...
Using pre-treatment biomarkers to guide patients to the preferred antidepressant medication treatmen...
The primary aim of this dissertation was to investigate the value of neurophysiological biomarkers m...
Major depressive disorder (MDD) has high population prevalence and is associated with substantial im...
Major depressive disorder (MDD) has high population prevalence and is associated with substantial im...
This paper reviews significant contributions to the evidence for the use of quantitative electroence...
Despite the significance of major depressive disorder, objective procedures for selecting optimal tr...
International audienceIntroduction: An important approach to improve the therapeutic effect of elect...
Item does not contain fulltextPersonalized medicine in psychiatry is in need of biomarkers that rese...
Certain electrophysiological markers hold promise in distinguishing individuals with major depressiv...
The aim of this study was to investigate if biomarkers in QEEG, genetic and neuropsychological measu...
Management of Major Depressive Disorder (MDD) might be improved by a biomarker to predict whether a ...
Several electroencephalogram (EEG) biomarkers for prediction of drug response in major depressive di...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system fu...