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EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis

. 2024 May ; 37 (3) : 357-368. [epub] 20230824

Language English Country United States Media print-electronic

Document type Meta-Analysis, Journal Article

Grant support
TE126/2022 Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii
FNBr 65269705 Ministerstvo Zdravotnictví Ceské Republiky

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PubMed 37615799
PubMed Central PMC11026263
DOI 10.1007/s10548-023-00999-0
PII: 10.1007/s10548-023-00999-0
Knihovny.cz E-resources

To reduce the psycho-social burden increasing attention has focused on brain abnormalities in the most prevalent and highly co-occurring neuropsychiatric disorders, such as mood and anxiety. However, high inter-study variability in these patients results in inconsistent and contradictory alterations in the fast temporal dynamics of large-scale networks as measured by EEG microstates. Thus, in this meta-analysis, we aim to investigate the consistency of these changes to better understand possible common neuro-dynamical mechanisms of these disorders.In the systematic search, twelve studies investigating EEG microstate changes in participants with mood and anxiety disorders and individuals with subclinical depression were included in this meta-analysis, adding up to 787 participants.The results suggest that EEG microstates consistently discriminate mood and anxiety impairments from the general population in patients and subclinical states. Specifically, we found a small significant effect size for B microstates in patients compared to healthy controls, with larger effect sizes for increased B presence in unmedicated patients with comorbidity. In a subgroup meta-analysis of ten mood disorder studies, microstate D showed a significant effect size for decreased presence. When investigating only the two anxiety disorder studies, we found a significantly small effect size for the increased microstate A and a medium effect size for decreased microstate E (one study). However, more studies are needed to elucidate whether these findings are diagnostic-specific markers.Results are discussed in relation to the functional meaning of microstates and possible contribution to an explanatory mechanism of overlapping symptomatology of mood and anxiety disorders.

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Anand A. Editorial: functional and structural connectomics of Mood Disorders. Front Psychiatry. 2019 doi: 10.3389/fpsyt.2019.00202. PubMed DOI PMC

Antonova E, Holding M, Suen HC, Sumich A, Maex R, Nehaniv C (2022) EEG microstates: functional significance and short-term test-retest reliability. Neuroimage:Reports 2(2). 10.1016/j.ynirp.2022.100089

Atluri S, Wong W, Moreno S, Blumberger DM, Daskalakis ZJ, Farzan F. Selective modulation of brain network dynamics by seizure therapy in treatment-resistant depression. NeuroImage Clin. 2018;20:1176–1190. doi: 10.1016/j.nicl.2018.10.015. PubMed DOI PMC

Benjamini Y, Hochberg Y. Controlling the false Discovery rate: a practical and powerful Approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 1995;57(1):289–300. doi: 10.1111/j.2517-6161.1995.tb02031.x. DOI

Bissonnette J, Francis A, Hull K, Leckey J, Pimer L, Berrigan L, Fisher D. EEG-Derived Microstates in Major Depressive Disorder: Effects of concurrent anxiety symptoms. Biol Psychiatry. 2022;91(9):S215–S215. doi: 10.1016/j.biopsych.2022.02.551. DOI

Borenstein M, Hedges L, Higgins JPT, Rothstein HR (2005) Comprehensive meta-analysis (Version 2.2.027) [Computer software]. 11:188–191

Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to Meta-Analysis. Chichester, UK: John Wiley & Sons. Ltd; 2009.

Bréchet L, Brunet D, Birot G, Gruetter R, Michel CM, Jorge J. Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI. NeuroImage. 2019;194:82–92. doi: 10.1016/j.neuroimage.2019.03.029. PubMed DOI

Bréchet L, Brunet D, Perogamvros L, Tononi G, Michel CM (2020) EEG microstates of dreams. Sci Rep 10(1). 10.1038/s41598-020-74075-z PubMed PMC

Britz J, Van De Ville D, Michel CM. BOLD correlates of EEG topography reveal rapid resting-state network dynamics. NeuroImage. 2010;52(4):1162–1170. doi: 10.1016/j.neuroimage.2010.02.052. PubMed DOI

Brodbeck V, Kuhn A, von Wegner F, Morzelewski A, Tagliazucchi E, Borisov S, Michel CM, Laufs H. EEG microstates of wakefulness and NREM sleep. NeuroImage. 2012;62(3):2129–2139. doi: 10.1016/j.neuroimage.2012.05.060. PubMed DOI

Chaieb L, Hoppe C, Fell J. Mind wandering and depression: a status report. Neurosci Biobehavioral Reviews. 2022;133:104505. doi: 10.1016/j.neubiorev.2021.12.028. PubMed DOI

Chen P-H, Ku H-L, Wang J-K, Kang J-H, Hsu T-Y (2022) Electroencephalographic Microstates are correlated with global functioning in Schizophrenia but not in bipolar disorder. Clinical EEG and neuroscience. 10.1177/15500594221098286. Scopus PubMed

Cohen J. Statistical power analysis for the behavioural Sciences second edition. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.

Custo A, Van De Ville D, Wells WM, Tomescu MI, Brunet D, Michel CM. Electroencephalographic resting-state networks: source localization of Microstates. Brain Connect. 2017;7(10):671–682. doi: 10.1089/brain.2016.0476. PubMed DOI PMC

D’Croz-Baron DF, Bréchet L, Baker M, Karp T. Auditory and visual tasks influence the temporal Dynamics of EEG Microstates during Post-encoding Rest. Brain Topogr. 2021;34(1):19–28. doi: 10.1007/s10548-020-00802-4. PubMed DOI

da Cruz JR, Favrod O, Roinishvili M, Chkonia E, Brand A, Mohr C, Figueiredo P, Herzog MH (2020) EEG microstates are a candidate endophenotype for schizophrenia. Nat Commun 11(1). 10.1038/s41467-020-16914-1 PubMed PMC

Damborská A, Piguet C, Aubry J-M, Dayer AG, Michel CM, Berchio C. Altered electroencephalographic resting-state large-scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients. Front Psychiatry. 2019 doi: 10.3389/fpsyt.2019.00826. PubMed DOI PMC

Damborská A, Tomescu MI, Honzírková E, Barteček R, Hořínková J, Fedorová S, Ondruš Å, Michel CM (2019b) EEG resting-state large-scale brain network dynamics are related to depressive symptoms. Front Psychiatry 10. 10.3389/fpsyt.2019.00548. Scopus PubMed PMC

Diaz Hernandez L, Rieger K, Baenninger A, Brandeis D, Koenig T. Towards using microstate-neurofeedback for the treatment of psychotic symptoms in Schizophrenia. A feasibility study in healthy participants. Brain Topogr. 2016;29(2):308–321. doi: 10.1007/s10548-015-0460-4. PubMed DOI

Duval S, Tweedie R. Trim and fill: a simple funnel-plot–based method of testing and adjusting for Publication Bias in Meta-Analysis. Biometrics. 2000;56(2):455–463. doi: 10.1111/j.0006-341X.2000.00455.x. PubMed DOI

Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–634. doi: 10.1136/bmj.315.7109.629. PubMed DOI PMC

Goldstein-Piekarski AN, Williams LM, Humphreys K. A trans-diagnostic review of anxiety disorder comorbidity and the impact of multiple exclusion criteria on studying clinical outcomes in anxiety disorders. Translational Psychiatry. 2016;6(6):e847. doi: 10.1038/tp.2016.108. PubMed DOI PMC

Goldstein-Piekarski AN, Ball TM, Samara Z, Staveland BR, Keller AS, Fleming SL, Grisanzio KA, Holt-Gosselin B, Stetz P, Ma J, Williams LM. Mapping neural circuit biotypes to symptoms and behavioral dimensions of depression and anxiety. Biol Psychiatry. 2022;91(6):561–571. doi: 10.1016/j.biopsych.2021.06.024. PubMed DOI PMC

Gorman JM (1996) Comorbid depression and anxiety spectrum disorders. Depression Anxiety 4(4):160–168. 10.1002/(SICI)1520-6394(1996)4:43.0.CO;2-J PubMed

Grisanzio KA, Goldstein-Piekarski AN, Wang MY, Ahmed R, Samara AP, Williams LM. Transdiagnostic symptom clusters and Associations with Brain, Behavior, and daily function in Mood, anxiety, and Trauma Disorders. JAMA Psychiatry. 2018;75(2):201–209. doi: 10.1001/jamapsychiatry.2017.3951. PubMed DOI PMC

He Y, Yu Q, Yang T, Zhang Y, Zhang K, Jin X, Wu S, Gao X, Huang C, Cui X, Luo X (2021) Abnormalities in Electroencephalographic Microstates among adolescents with First Episode Major Depressive Disorder. Front Psychiatry 12. 10.3389/fpsyt.2021.775156. Scopus PubMed PMC

Higgins JPT, Green S (eds) (2011) Eds. Cochrane Handbook for systematic reviews of interventions. Version 5.1. 0. The Cochrane Collaboration

Hoffmann F, Viding E, Puetz VB, Gerin MI, Sethi A, Rankin G, McCrory EJ. Evidence for Depressogenic spontaneous thoughts and altered resting-state connectivity in adolescents with a maltreatment history. J Am Acad Child Adolesc Psychiatry. 2018;57(9):687–695e4. doi: 10.1016/j.jaac.2018.05.020. PubMed DOI

Johansson R, Carlbring P, Heedman Ã, Paxling B, Andersson G. Depression, anxiety and their comorbidity in the swedish general population: point prevalence and the effect on health-related quality of life. PeerJ. 2013;1:e98. doi: 10.7717/peerj.98. PubMed DOI PMC

Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-Scale Network Dysfunction in Major Depressive disorder: a Meta-analysis of resting-state functional connectivity. JAMA Psychiatry. 2015;72(6):603–611. doi: 10.1001/jamapsychiatry.2015.0071. PubMed DOI PMC

Katayama H, Gianotti LRR, Isotani T, Faber PL, Sasada K, Kinoshita T, Lehmann D. Classes of multichannel EEG microstates in light and deep hypnotic conditions. Brain Topogr. 2007;20(1):7–14. doi: 10.1007/s10548-007-0024-3. PubMed DOI

Khanna A, Pascual-Leone A, Michel CM, Farzan F. Microstates in resting-state EEG: current status and future directions. Neurosci Biobehav Rev. 2015;49:105–113. doi: 10.1016/j.neubiorev.2014.12.010. PubMed DOI PMC

Kikuchi M, Koenig T, Wada Y, Higashima M, Koshino Y, Strik W, Dierks T. Native EEG and treatment effects in neuroleptic-naïve schizophrenic patients: time and frequency domain approaches. Schizophr Res. 2007;97(1–3):163–172. doi: 10.1016/j.schres.2007.07.012. PubMed DOI

Kikuchi M, Koenig T, Munesue T, Hanaoka A, Strik W, Dierks T, Koshino Y, Minabe Y. EEG microstate analysis in drug-naive patients with panic disorder. PLoS ONE. 2011;6(7):e22912. doi: 10.1371/journal.pone.0022912. PubMed DOI PMC

Kindler J, Hubl D, Strik WK, Dierks T, Koenig T. Resting-state EEG in schizophrenia: auditory verbal hallucinations are related to shortening of specific microstates. Clin Neurophysiol. 2011;122(6):1179–1182. doi: 10.1016/j.clinph.2010.10.042. PubMed DOI

Koenig T, Prichep L, Lehmann D, Sosa PV, Braeker E, Kleinlogel H, John ER. Millisecond by millisecond, year by year: normative EEG microstates and developmental stages. NeuroImage. 2002;16(1):41–48. doi: 10.1006/nimg.2002.1070. PubMed DOI

Lehmann D, Ozaki H, Pal I. EEG alpha map series: Brain micro-states by space-oriented adaptive segmentation. Electroencephalogr Clin Neurophysiol. 1987;67(3):271–288. doi: 10.1016/0013-4694(87)90025-3. PubMed DOI

Lei L, Liu Z, Zhang Y, Guo M, Liu P, Hu X, Yang C, Zhang A, Sun N, Wang Y, Zhang K. EEG microstates as markers of major depressive disorder and predictors of response to SSRIs therapy. Prog Neuro-psychopharmacol Biol Psychiatry. 2022;116:110514. doi: 10.1016/j.pnpbp.2022.110514. PubMed DOI

Li B, Friston K, Mody M, Wang H, Lu H, Hu D. A brain network model for depression: from symptom understanding to disease intervention. CNS Neurosci Ther. 2018;24(11):1004–1019. doi: 10.1111/cns.12998. PubMed DOI PMC

Linton SR, Murphy M, Schroder HS, Breiger M, Iturra-Mena AM, Kangas BD, Bergman J, Carlezon WA, Risbrough VB, Barnes SA, Der-Avakian A, Pizzagalli DA. Effects of modafinil on electroencephalographic microstates in healthy adults. Psychopharmacology. 2022;239(8):2573–2584. doi: 10.1007/s00213-022-06149-x. PubMed DOI PMC

Michel CM, Koenig T (2018) EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review. NeuroImage 180(Pt B) 577–593. 10.1016/j.neuroimage.2017.11.062 PubMed

Milz P, Faber PL, Lehmann D, Koenig T, Kochi K, Pascual-Marqui RD. The functional significance of EEG microstates—Associations with modalities of thinking. NeuroImage. 2016;125:643–656. doi: 10.1016/j.neuroimage.2015.08.023. PubMed DOI

Murphy M, Whitton AE, Deccy S, Ironside ML, Rutherford A, Beltzer M, Sacchet M, Pizzagalli DA. Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder. Neuropsychopharmacology. 2020;45(12):2030–2037. doi: 10.1038/s41386-020-0749-1. PubMed DOI PMC

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int J Surg. 2021;88:105906. doi: 10.1016/j.ijsu.2021.105906. PubMed DOI

Pascual-Marqui RD, Michel CM, Lehmann D. Segmentation of brain electrical activity into microstates: Model estimation and validation. IEEE Trans Bio Med Eng. 1995;42(7):658–665. doi: 10.1109/10.391164. PubMed DOI

Qin X, Xiong J, Cui R, Zou G, Changquan L, Lei X. EEG microstate temporal Dynamics Predict depressive symptoms in College Students. Brain Topogr. 2022;35:1–14. doi: 10.1007/s10548-022-00905-0. PubMed DOI

Ressler KJ, Mayberg HS. Targeting abnormal neural circuits in mood and anxiety disorders: from the laboratory to the clinic. Nat Neurosci. 2007;10(9):1116–1124. doi: 10.1038/nn1944. PubMed DOI PMC

Rieger K, Diaz Hernandez L, Baenninger A, Koenig T. 15 years of Microstate Research in Schizophrenia – where are we? A Meta-analysis. Front Psychiatry. 2016;7:22. doi: 10.3389/fpsyt.2016.00022. PubMed DOI PMC

Schiller B, Koenig T, Heinrichs M (2019) Oxytocin modulates the temporal dynamics of resting EEG networks. Sci Rep 9(1). 10.1038/s41598-019-49636-6. Article 1 PubMed PMC

Seitzman BA, Abell M, Bartley SC, Erickson MA, Bolbecker AR, Hetrick WP. Cognitive manipulation of brain electric microstates. NeuroImage. 2017;146:533–543. doi: 10.1016/j.neuroimage.2016.10.002. PubMed DOI PMC

Spring B. Evidence-based practice in clinical psychology: what it is, why it matters; what you need to know. J Clin Psychol. 2007;63(7):611–631. doi: 10.1002/jclp.20373. PubMed DOI

Sun Y, Ren G, Ren J, Wang Q. Intrinsic brain activity in temporal lobe Epilepsy with and without Depression: insights from EEG microstates. Front Neurol. 2022 doi: 10.3389/fneur.2021.753113. PubMed DOI PMC

Tarailis P, Koenig T, Michel CM, Griškova-Bulanova I. The functional aspects of resting EEG microstates: a systematic review. Brain Topogr. 2023 doi: 10.1007/s10548-023-00958-9. PubMed DOI

Terpou BA, Shaw SB, Théberge J, Férat V, Michel CM, McKinnon MC, Lanius RA, Ros T. Spectral decomposition of EEG microstates in post-traumatic stress disorder. 35. NeuroImage: Clinical; 2022. PubMed PMC

Tomescu M, Rihs T, Becker R, Britz J, Custo A, Grouiller F, Schneider M, Debbané M, Eliez S, Michel C (2014) Deviant dynamics of EEG resting state pattern in 22q11.2 deletion syndrome adolescents: a vulnerability marker of schizophrenia? Schizophr Res 157. 10.1016/j.schres.2014.05.036 PubMed

Tomescu MI, Rihs TA, Roinishvili M, Karahanoglu FI, Schneider M, Menghetti S, Van De Ville D, Brand A, Chkonia E, Eliez S, Herzog MH, Michel CM, Cappe C. Schizophrenia patients and 22q11.2 deletion syndrome adolescents at risk express the same deviant patterns of resting state EEG microstates: a candidate endophenotype of schizophrenia. Schizophrenia Research: Cognition. 2015;2(3):159–165. doi: 10.1016/j.scog.2015.04.005. PubMed DOI PMC

Tomescu MI, Rihs TA, Rochas V, Hardmeier M, Britz J, Allali G, Fuhr P, Eliez S, Michel CM. From swing to cane: sex differences of EEG resting-state temporal patterns during maturation and aging. Dev Cogn Neurosci. 2018;31:58–66. doi: 10.1016/j.dcn.2018.04.011. PubMed DOI PMC

Tomescu MI, Papasteri CC, Sofonea A, Boldasu R, Kebets V, Pistol CAD, Poalelungi C, Benescu V, Podina IR, Nedelcea CI, Berceanu AI, Carcea I. Spontaneous thought and microstate activity modulation by social imitation. NeuroImage. 2022;249:118878. doi: 10.1016/j.neuroimage.2022.118878. PubMed DOI

Wang F, Hujjaree K, Wang X (2021) Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder. Front Psychiatry 12. 10.3389/fpsyt.2021.638722. Scopus PubMed PMC

Xu J, Van Dam NT, Feng C, Luo Y, Ai H, Gu R, Xu P. Anxious brain networks: a coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety. Neurosci Biobehav Rev. 2019;96:21–30. doi: 10.1016/j.neubiorev.2018.11.005. PubMed DOI

Xue Y, Li K, Zhang J, Feng Z. Characteristics of resting-state electroencephalogram microstates in individuals with different levels of depressive symptoms. J Third Military Med Univ. 2021;43(24):2609–2617. doi: 10.16016/j.1000-5404.202106083. DOI

Yan D, Liu J, Liao M, Liu B, Wu S, Li X, Li H, Ou W, Zhang L, Li Z, Zhang Y, Li L. Prediction of clinical outcomes with EEG microstate in patients with Major Depressive Disorder. Front Psychiatry. 2021;12:695272. doi: 10.3389/fpsyt.2021.695272. PubMed DOI PMC

Yuan H, Zotev V, Phillips R, Drevets WC, Bodurka J. Spatiotemporal dynamics of the brain at rest—exploring EEG microstates as electrophysiological signatures of BOLD resting state networks. NeuroImage. 2012;60(4):2062–2072. doi: 10.1016/j.neuroimage.2012.02.031. PubMed DOI

Zanesco AP, King BG, Skwara AC, Saron CD. Within and between-person correlates of the temporal dynamics of resting EEG microstates. NeuroImage. 2020;211:116631. doi: 10.1016/j.neuroimage.2020.116631. PubMed DOI

Zhao Y-N, He J-K, Wang Y, Li S-Y, Jia B-H, Zhang S, Guo C-L, Zhang J-L, Zhang G-L, Hu B, Fang J-L, Rong P-J. The pro-inflammatory factors contribute to the EEG microstate abnormalities in patients with major depressive disorder. Brain Behav Immun - Health. 2022;26:100523. doi: 10.1016/j.bbih.2022.100523. PubMed DOI PMC

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