Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review

Introduction: The objective of this systematic review was to investigate whether electroencephalographic parameters can serve as a tool to distinguish between melancholic depression, non-melancholic depression, and healthy controls in adults.Methods: A systematic review comprising an extensive liter...

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Main Authors: Caroline Fussing Bruun, Caroline Juhl Arnbjerg, Lars Vedel Kessing
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.648713/full
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spelling doaj-890b40cb8fc943edb0a7242d626370dd2021-08-19T14:04:05ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-08-011210.3389/fpsyt.2021.648713648713Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic ReviewCaroline Fussing Bruun0Caroline Juhl Arnbjerg1Lars Vedel Kessing2Lars Vedel Kessing3Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, DenmarkDepartment of Public Health, Center for Global Health, Aarhus University, Aarhus, DenmarkCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, DenmarkFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DenmarkIntroduction: The objective of this systematic review was to investigate whether electroencephalographic parameters can serve as a tool to distinguish between melancholic depression, non-melancholic depression, and healthy controls in adults.Methods: A systematic review comprising an extensive literature search conducted in PubMed, Embase, Google Scholar, and PsycINFO in August 2020 with monthly updates until November 1st, 2020. In addition, we performed a citation search and scanned reference lists. Clinical trials that performed an EEG-based examination on an adult patient group diagnosed with melancholic unipolar depression and compared with a control group of non-melancholic unipolar depression and/or healthy controls were eligible. Risk of bias was assessed by the Strengthening of Reporting of Observational Studies in Epidemiology (STROBE) checklist.Results: A total of 24 studies, all case-control design, met the inclusion criteria and could be divided into three subgroups: Resting state studies (n = 5), sleep EEG studies (n = 10), and event-related potentials (ERP) studies (n = 9). Within each subgroup, studies were characterized by marked variability on almost all levels, preventing pooling of data, and many studies were subject to weighty methodological problems. However, the main part of the studies identified one or several EEG parameters that differentiated the groups.Conclusions: Multiple EEG modalities showed an ability to distinguish melancholic patients from non-melancholic patients and/or healthy controls. The considerable heterogeneity across studies and the frequent methodological difficulties at the individual study level were the main limitations to this work. Also, the underlying premise of shifting diagnostic paradigms may have resulted in an inhomogeneous patient population.Systematic Review Registration: Registered in the PROSPERO registry on August 8th, 2020, registration number CRD42020197472.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.648713/fullmelancholic depressionsubtypes of depressionmajor depressive disorderelectroencephalographybiomarkers
collection DOAJ
language English
format Article
sources DOAJ
author Caroline Fussing Bruun
Caroline Juhl Arnbjerg
Lars Vedel Kessing
Lars Vedel Kessing
spellingShingle Caroline Fussing Bruun
Caroline Juhl Arnbjerg
Lars Vedel Kessing
Lars Vedel Kessing
Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
Frontiers in Psychiatry
melancholic depression
subtypes of depression
major depressive disorder
electroencephalography
biomarkers
author_facet Caroline Fussing Bruun
Caroline Juhl Arnbjerg
Lars Vedel Kessing
Lars Vedel Kessing
author_sort Caroline Fussing Bruun
title Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
title_short Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
title_full Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
title_fullStr Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
title_full_unstemmed Electroencephalographic Parameters Differentiating Melancholic Depression, Non-melancholic Depression, and Healthy Controls. A Systematic Review
title_sort electroencephalographic parameters differentiating melancholic depression, non-melancholic depression, and healthy controls. a systematic review
publisher Frontiers Media S.A.
series Frontiers in Psychiatry
issn 1664-0640
publishDate 2021-08-01
description Introduction: The objective of this systematic review was to investigate whether electroencephalographic parameters can serve as a tool to distinguish between melancholic depression, non-melancholic depression, and healthy controls in adults.Methods: A systematic review comprising an extensive literature search conducted in PubMed, Embase, Google Scholar, and PsycINFO in August 2020 with monthly updates until November 1st, 2020. In addition, we performed a citation search and scanned reference lists. Clinical trials that performed an EEG-based examination on an adult patient group diagnosed with melancholic unipolar depression and compared with a control group of non-melancholic unipolar depression and/or healthy controls were eligible. Risk of bias was assessed by the Strengthening of Reporting of Observational Studies in Epidemiology (STROBE) checklist.Results: A total of 24 studies, all case-control design, met the inclusion criteria and could be divided into three subgroups: Resting state studies (n = 5), sleep EEG studies (n = 10), and event-related potentials (ERP) studies (n = 9). Within each subgroup, studies were characterized by marked variability on almost all levels, preventing pooling of data, and many studies were subject to weighty methodological problems. However, the main part of the studies identified one or several EEG parameters that differentiated the groups.Conclusions: Multiple EEG modalities showed an ability to distinguish melancholic patients from non-melancholic patients and/or healthy controls. The considerable heterogeneity across studies and the frequent methodological difficulties at the individual study level were the main limitations to this work. Also, the underlying premise of shifting diagnostic paradigms may have resulted in an inhomogeneous patient population.Systematic Review Registration: Registered in the PROSPERO registry on August 8th, 2020, registration number CRD42020197472.
topic melancholic depression
subtypes of depression
major depressive disorder
electroencephalography
biomarkers
url https://www.frontiersin.org/articles/10.3389/fpsyt.2021.648713/full
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