Using electroencephalography for treatment guidance in major depressive disorder

E Stade, DV Iosifescu - Biological Psychiatry: Cognitive Neuroscience and …, 2016 - Elsevier
Given the high prevalence of treatment-resistant depression and the long delays in finding
effective treatments via trial and error, valid biomarkers of treatment outcome with the ability …

[HTML][HTML] Personalization of repetitive transcranial magnetic stimulation for the treatment of major depressive disorder according to the existing psychiatric comorbidity

PH Chou, YF Lin, MK Lu, HA Chang… - Clinical …, 2021 - ncbi.nlm.nih.gov
Repetitive transcranial magnetic stimulation (rTMS) and intermittent theta-burst stimulation
(iTBS) are evidenced-based treatments for patients with major depressive disorder (MDD) …

Updates on transcranial magnetic stimulation therapy for major depressive disorder

SL Garnaat, S Yuan, H Wang, NS Philip… - Psychiatric …, 2018 - psych.theclinics.com
Major depression is a leading cause of disability; however, a subset of patients do not
experience sufficient relief from existing first-line treatments 1 or have trouble tolerating the …

Identification of clinical features and biomarkers that may inform a personalized approach to rTMS for depression

SL Garnaat, AM Fukuda, S Yuan… - Personalized medicine in …, 2019 - Elsevier
Repetitive transcranial magnetic stimulation (rTMS), an established treatment for treatment-
resistant depression, may hold promise as a personalized medicine approach for the …

[HTML][HTML] Predicting sex from EEG: validity and generalizability of deep-learning-based interpretable classifier

B Bučková, M Brunovský, M Bareš… - Frontiers in Neuroscience, 2020 - frontiersin.org
Explainable artificial intelligence holds a great promise for neuroscience and plays an
important role in the hypothesis generation process. We follow-up a recent machine learning …

Intermediate phenotypes and biomarkers of treatment outcome in major depressive disorder

AF Leuchter, AM Hunter, DE Krantz… - Dialogues in clinical …, 2014 - Taylor & Francis
Major depressive disorder (MDD) is a pleomorphic illness originating from gene x
environment interactions. Patients with differing symptom phenotypes receive the same …

Change in quantitative EEG theta cordance as a potential predictor of repetitive transcranial magnetic stimulation clinical outcome in major depressive disorder

AM Hunter, TX Nghiem, IA Cook… - Clinical EEG and …, 2018 - journals.sagepub.com
Repetitive transcranial magnetic stimulation (rTMS) has demonstrated efficacy in major
depressive disorder (MDD), although clinical outcome is variable. Change in the resting …

[HTML][HTML] Resting and TMS-EEG markers of treatment response in major depressive disorder: A systematic review

R Strafella, R Chen, TK Rajji… - Frontiers in Human …, 2022 - frontiersin.org
Electroencephalography (EEG) is a non-invasive method to identify markers of treatment
response in major depressive disorder (MDD). This review's objectives were the following …

Non-linear entropy analysis in EEG to predict treatment response to repetitive transcranial magnetic stimulation in depression

R Shalbaf, C Brenner, C Pang… - Frontiers in …, 2018 - frontiersin.org
Background: Biomarkers that predict clinical outcomes in depression are essential for
increasing the precision of treatments and clinical outcomes. The electroencephalogram …

Using prefrontal and midline right frontal EEG-derived theta cordance and depressive symptoms to predict the differential response or remission to antidepressant …

S de la Salle, N Jaworska, P Blier, D Smith… - Psychiatry Research …, 2020 - Elsevier
There is a growing need for optimizing treatment selection and response prediction in
individuals with major depressive disorder (MDD). Prior investigations have shown that …