Depression biomarkers using non-invasive EEG: A review

Neto, Fernando G. Almeida; Rosa, João Luís Garcia

doi:10.1016/j.neubiorev.2019.07.021

Cited by 212 publications

(117 citation statements)

References 61 publications

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“…Electroencephalography (EEG) is a suitable option as a neurophysiological biomarker, and displays several advantages, including higher temporal resolution, noninvasiveness, ease of access and low cost [15,33]. As a result this method has been widely used for the biomedical investigation of several mental illnesses including MDD, Alzheimer's disease and others [1,2,6,22].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal dynamics of EEG features during sleep in major depressive disorder after treatment with escitalopram: a pilot study

Wang

Yang

et al. 2020

BMC Psychiatry

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Background: Previous studies have shown escitalopram is related to sleep quality. However, effects of escitalopram on dynamics of electroencephalogram (EEG) features especially during different sleep stages have not been reported. This study may help to reveal pharmacological mechanism underlying escitalopram treatment. Methods: The spatial and temporal responses of patients with major depressive disorder (MDD) to escitalopram treatment were analyzed in this study. Eleven MDD patients and eleven healthy control subjects who completed eight weeks' treatment of escitalopram were included in the final statistics. Six-channel sleep EEG signals were acquired during sleep. Power spectrum and nonlinear dynamics were used to analyze the spatio-temporal dynamics features of the sleep EEG after escitalopram treatment. Results: For temporal dynamics: after treatment, there was a significant increase in the relative energy (RE) of δ 1 band (0.5-2 Hz), accompanied by a significant decrease in the RE of β 2 band (20-30 Hz). Lempel-Ziv complexity and Co-complexity values were significantly lower. EEG changes at different sleep stages also showed the same regulation as throughout the night sleep. For spatio dynamics: after treatment, the EEG response of the left and right hemisphere showed asymmetry. Regarding band-specific EEG complexity estimations, δ1 and β2 in stage-1 and δ1 in stage-2 sleep stage in frontal cortex is found to be much more sensitive to escitalopram treatment in comparison to central and occipital cortices. Conclusions: The sleep quality of MDD patients improved, EEG response occurred asymmetry in left and right hemispheres due to escitalopram treatment, and frontal cortex is found to be much more sensitive to escitalopram treatment. These findings may contribute to a comprehensive understanding of the pharmacological mechanism of escitalopram in the treatment of depression.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal dynamics of EEG features during sleep in major depressive disorder after treatment with escitalopram: a pilot study

Wang

Yang

et al. 2020

BMC Psychiatry

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“…There is wide evidence of the consequences of depression in Electroencephalogram (EEG) biomarkers, most of them are focused on differences in band power signals and asymmetry of the brain activity especially on alpha bands in frontal and left central cortex. 10 Depression not only affects an individual and the family context, but also represents a public health problem, having an economic and social impact. 11 Estimates of the burden of the disease place depression as a leading cause of disability worldwide, in Mexico this mental disorder is placed in the fifth health problem that causes disability.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of behavioral activation for depression treatment in medical students: Study protocol for a quasi-experimental design

et al. 2020

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Introduction: Depression is a frequent mood disorder among medical students that can lead to multiple negative consequences at individual and social level (such as academic achievement and interpersonal conflicts) as well as patient care performance. Therefore, the need of depression decreasing treatments in medical students is important. This study is designed to evaluate the effectiveness of the Behavioral Activation Treatment for Depression in a sample of Mexican medical students. Methods: This study will be performed under a quasi-experimental design to verify the effectiveness of the Behavioral Activation Treatment for Depression to reduce depressive symptoms in medical students from two public universities in northwestern Mexico. The participants will be assessed with the Center for Epidemiologic Studies Depression Scale, the Depression Anxiety Stress Scales, the Pittsburgh Sleep Quality Index, and the Plutchik Suicide Risk Scale. In addition to the psychometric assessment, there will be an electroencephalogram evaluation using the EMOTIV (v 1.1) device. Results: A pre-post intervention of 10 Behavioral Activation Treatment for Depression sessions will be implemented. The results of the effectiveness of the Behavioral Activation Treatment for Depression will be analyzed in five measures at pre-post intervention and two follow-ups of 3 and 6 months. Conclusions: This study looks for evidence regarding the efficacy and feasibility of the Behavioral Activation Treatment for Depression in a sample of medical students from two public universities in Mexico with high levels of depression along with stress and anxiety.

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“…Since then, many studies have re ported relatively higher alpha band power in the left vs right frontal channels (left-sided FAA) in subjects suffering from DD compared to healthy individuals (Allen et al, 2004;Davidson, 1984Davidson, , 2004Kemp et al, 2010;Schaffer et al, 1983) . FAA index, calculated by subtracting the left-side alpha power from the respective right-side channel, is one of the most common electrophysiological indicator of DD in the current literature (de Aguiar Neto & Rosa, 2019) . However, multiple studies failed to replicate the relationship between FAA and DD (Allen et al, 2004;Carvalho et al, 2011;Deldin & Chiu, 2005;Gold et al, 2013;Kentgen et al, 2000;Knott et al, 2001;Mathersul et al, 2008;Szumska et al, 2020;Vuga et al, 2006) a nd conclusions of meta-analyses remain sceptical (Thibodeau et al, 2006;van der Vinne et al, 2017) .…”

Section: Introductionmentioning

confidence: 99%

Three times NO: no relationship between frontal alpha asymmetry and depressive disorders in a multiverse analysis of three studies

Kołodziej

Magnuski

Ruban

et al. 2020

Preprint

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AbstractFrontal alpha asymmetry (FAA) is one of the most common electrophysiological measures in research on depressive disorders (DD). Many previous studies reported a relatively higher alpha band power in the left versus right frontal channels (left-sided FAA) in people with DD compared to healthy controls. Recently, however, multiple studies failed to replicate this finding and a meta-analysis has cast doubt on the relationship between FFA and DD (van der Vinne et al., 2017).To test the robustness and reproducibility of the relationship between FAA and DD we conducted a multiverse analysis of resting state EEG data from three independent studies with 218 participants in total. We performed 81 analyses altogether - some replicatory and other improving on the methodology used in past FAA studies -differing in: a) channel vs source level signal: using average reference, current source density or DICS beamforming; b) channel pairs selection and correction for multiple comparisons; c) statistical approach: group contrasts vs linear regression.Only two of the 81 analyses revealed significant results - an outcome expected with a 5% type I error rate (p = 0.917, binomial test). Therefore, the conducted analyses do not provide a basis to reject the null hypothesis of no relationship between resting state FAA and DD in spite of (or maybe due to) various methodological improvements. We conclude the paper by discussing theoretical assumptions underlying the FAA and suggest a list of guidelines for improving and expanding the EEG data analysis in future FAA studies.Significance StatementFor decades, the frontal alpha asymmetry (FAA) - a disproportion in EEG alpha oscillations power between right and left frontal channels - has been one of the most popular measures of depressive disorders (DD) in electrophysiology studies. Patients with DD often manifest a left-sided FAA: relatively higher alpha power in the left versus right frontal lobe. Recently, however, multiple studies failed to confirm this effect, questioning its reproducibility. Our purpose is to thoroughly test the validity of FAA in depression by conducting a multiverse analysis - running many related analyses and testing the sensitivity of the effect to changes in the analytical approach - on data from three independent studies. Overall, our results do not support the claim about the FAA-DD relationship.

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Depression biomarkers using non-invasive EEG: A review

Cited by 212 publications

References 61 publications

Spatio-temporal dynamics of EEG features during sleep in major depressive disorder after treatment with escitalopram: a pilot study

Spatio-temporal dynamics of EEG features during sleep in major depressive disorder after treatment with escitalopram: a pilot study

Effectiveness of behavioral activation for depression treatment in medical students: Study protocol for a quasi-experimental design

Three times NO: no relationship between frontal alpha asymmetry and depressive disorders in a multiverse analysis of three studies

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