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A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996–2013
DA Mrazek, JC Hornberger, CA Altar… - Psychiatric …, 2014 - Am Psychiatric Assoc
Objective This literature review assessed the burden of treatment-resistant depression in the
United States by compiling published data about the clinical, societal, and economic …
United States by compiling published data about the clinical, societal, and economic …
EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response
Major depressive disorder (MDD) has high population prevalence and is associated with
substantial impact on quality of life, not least due to an unsatisfactory time span of …
substantial impact on quality of life, not least due to an unsatisfactory time span of …
Electroencephalographic biomarkers for treatment response prediction in major depressive illness: a meta-analysis
AS Widge, MT Bilge, R Montana… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: Reducing unsuccessful treatment trials could improve depression treatment.
Quantitative EEG (QEEG) may predict treatment response and is being commercially …
Quantitative EEG (QEEG) may predict treatment response and is being commercially …
A hypothesis of monoamine (5-HT)–glutamate/GABA long neural circuit: aiming for fast-onset antidepressant discovery
YF Li - Pharmacology & therapeutics, 2020 - Elsevier
Major depressive disorder has become a global public health problem of serious concern.
Most of the clinical antidepressants are developed under the classic “monoamine …
Most of the clinical antidepressants are developed under the classic “monoamine …
Role of reward sensitivity and processing in major depressive and bipolar spectrum disorders
Abstract Since Costello's (1972) seminal Behavior Therapy article on loss of reinforcers or
reinforcer effectiveness in depression, the role of reward sensitivity and processing in both …
reinforcer effectiveness in depression, the role of reward sensitivity and processing in both …
A wavelet-based technique to predict treatment outcome for major depressive disorder
Treatment management for Major Depressive Disorder (MDD) has been challenging.
However, electroencephalogram (EEG)-based predictions of antidepressant's treatment …
However, electroencephalogram (EEG)-based predictions of antidepressant's treatment …
Wake and sleep EEG provide biomarkers in depression
A Steiger, M Kimura - Journal of psychiatric research, 2010 - Elsevier
Both wake and sleep electroencephalogram (EEG) provide biomarkers of depression and
antidepressive therapy, respectively. For a long time it is known that EEG activity is altered …
antidepressive therapy, respectively. For a long time it is known that EEG activity is altered …
Pretreatment rostral anterior cingulate cortex theta activity in relation to symptom improvement in depression: a randomized clinical trial
Importance Major depressive disorder (MDD) remains challenging to treat. Although several
clinical and demographic variables have been found to predict poor antidepressant …
clinical and demographic variables have been found to predict poor antidepressant …
Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal
Background Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation
(rTMS) treatment is an important purpose that eliminates financial and psychological …
(rTMS) treatment is an important purpose that eliminates financial and psychological …
Guidelines for the recording and evaluation of pharmaco-EEG data in man: the International Pharmaco-EEG Society (IPEG)
M Jobert, FJ Wilson, GSF Ruigt, M Brunovsky… - …, 2012 - karger.com
Abstract The International Pharmaco-EEG Society (IPEG) presents updated guidelines
summarising the requirements for the recording and computerised evaluation of pharmaco …
summarising the requirements for the recording and computerised evaluation of pharmaco …