Discriminative power of EEG-based biomarkers in major depressive disorder: A systematic review

C Greco, O Matarazzo, G Cordasco, A Vinciarelli… - Ieee …, 2021 - ieeexplore.ieee.org
Currently, the diagnosis of major depressive disorder (MDD) and its subtypes is mainly
based on subjective assessments and self-reported measures. However, objective criteria …

Exploration of EEG-based depression biomarkers identification techniques and their applications: a systematic review

A Dev, N Roy, MK Islam, C Biswas, HU Ahmed… - IEEE …, 2022 - ieeexplore.ieee.org
Depression is the most common mental illness, which has become the major cause of fear
and suicidal mortality or tendencies. Currently, about 10% of the world population has been …

Depression biomarkers using non-invasive EEG: A review

FS de Aguiar Neto, JLG Rosa - Neuroscience & Biobehavioral Reviews, 2019 - Elsevier
Depression is a serious neurological disorder characterized by strong loss of interest,
possibly leading to suicide. According to the World Health Organization, more than 300 …

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 …

Review on EEG and ERP predictive biomarkers for major depressive disorder

W Mumtaz, AS Malik, MAM Yasin, L Xia - Biomedical Signal Processing …, 2015 - Elsevier
The selection of suitable antidepressants for Major Depressive Disorder (MDD) has been
challenging and is mainly based on subjective assessments that include minimal scientific …

[HTML][HTML] Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder

Y Huang, Y Yi, Q Chen, H Li, S Feng, S Zhou, Z Zhang… - BMC psychiatry, 2023 - Springer
Background Major depressive disorder (MDD) has a high incidence and an unknown
mechanism. There are no objective and sensitive indicators for clinical diagnosis. Objective …

[HTML][HTML] EEG-based major depressive disorder recognition by neural oscillation and asymmetry

X Liu, H Zhang, Y Cui, T Zhao, B Wang, X Xie… - Frontiers in …, 2024 - frontiersin.org
Background Major Depressive Disorder (MDD) is a pervasive mental health issue with
significant diagnostic challenges. Electroencephalography (EEG) offers a non-invasive …

[PDF][PDF] Quantitative electroencephalography for objective and differential diagnosis of depression: a comprehensive review

A Yadollahpour, H Nasrollahi - Global Journal of Health Science, 2016 - academia.edu
Quantitative electroencephalography (QEEG) has been dramatically developed during
recent years in cognitive neurosciences. It has shown significant potential in the diagnosis of …

Personalized medicine: review and perspectives of promising baseline EEG biomarkers in major depressive disorder and attention deficit hyperactivity disorder

S Olbrich, R van Dinteren, M Arns - Neuropsychobiology, 2016 - karger.com
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous
system function at the level of neuronal activity. Electroencephalography (EEG) during sleep …

Electroencephalogram (EEG) signal analysis for diagnosis of major depressive disorder (MDD): a review

S Mahato, S Paul - … , Circuits and Communication Systems: Proceeding of …, 2019 - Springer
Abstract Depression or Major Depressive Disorder (MDD) is a psychiatric disorder. It is the
major contributor to overall global burden of disease. Any deterioration in brain functioning …