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 …

EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response

S Olbrich, M Arns - International Review of Psychiatry, 2013 - Taylor & Francis
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 …

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 …

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 …

Role of reward sensitivity and processing in major depressive and bipolar spectrum disorders

LB Alloy, T Olino, RD Freed, R Nusslock - Behavior therapy, 2016 - Elsevier
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 …

A wavelet-based technique to predict treatment outcome for major depressive disorder

W Mumtaz, L **a, MA Mohd Yasin, SS Azhar Ali… - PloS one, 2017 - journals.plos.org
Treatment management for Major Depressive Disorder (MDD) has been challenging.
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 …

Pretreatment rostral anterior cingulate cortex theta activity in relation to symptom improvement in depression: a randomized clinical trial

DA Pizzagalli, CA Webb, DG Dillon, CE Tenke… - JAMA …, 2018 - jamanetwork.com
Importance Major depressive disorder (MDD) remains challenging to treat. Although several
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

F Hasanzadeh, M Mohebbi, R Rostami - Journal of affective disorders, 2019 - Elsevier
Background Prediction of therapeutic outcome of repetitive transcranial magnetic stimulation
(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 …