{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T11:51:38Z","timestamp":1774007498051,"version":"3.50.1"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82201701"],"award-info":[{"award-number":["82201701"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002912","name":"Government of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515110870"],"award-info":[{"award-number":["2019A1515110870"]}],"id":[{"id":"10.13039\/501100002912","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022 M723299"],"award-info":[{"award-number":["2022 M723299"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Brain Research"],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1016\/j.brainres.2025.149660","type":"journal-article","created":{"date-parts":[[2025,4,26]],"date-time":"2025-04-26T14:30:36Z","timestamp":1745677836000},"page":"149660","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["Association between Electroencephalographic microstates abnormalities and cognitive dysfunction in drug-naive MDD"],"prefix":"10.1016","volume":"1860","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5565-3275","authenticated-orcid":false,"given":"Qin","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sixiang","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8893-3697","authenticated-orcid":false,"given":"Meijia","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuanliang","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xixi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"Suppl","key":"10.1016\/j.brainres.2025.149660_b0005","first-page":"34","article-title":"Measuring emotional intelligence with the Mayer-Salovery-Caruso Emotional Intelligence Test (MSCEIT)","volume":"18","author":"Brackett","year":"2006","journal-title":"Psicothema"},{"key":"10.1016\/j.brainres.2025.149660_b0010","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.neuroimage.2019.03.029","article-title":"Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI","volume":"194","author":"Br\u00e9chet","year":"2019","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0015","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1016\/j.neuroimage.2010.02.052","article-title":"BOLD correlates of EEG topography reveal rapid resting-state network dynamics","volume":"52","author":"Britz","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2025.149660_b0020","doi-asserted-by":"crossref","unstructured":"Chivu, A., Pascal, S. A., Damborsk\u00e1, A., & Tomescu, M. I. (2023). EEG Microstates in Mood and Anxiety Disorders: A Meta-analysis. Brain topography, 10.1007\/s10548-023-00999-0. Advance online publication. https:\/\/doi.org\/10.1007\/s10548-023-00999-0.","DOI":"10.1007\/s10548-023-00999-0"},{"issue":"6","key":"10.1016\/j.brainres.2025.149660_b0025","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1017\/S0033291710001911","article-title":"Presence of individual (residual) symptoms during depressive episodes and periods of remission: a 3-year prospective study","volume":"41","author":"Conradi","year":"2011","journal-title":"Psychol. Med."},{"issue":"2","key":"10.1016\/j.brainres.2025.149660_b0030","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/0165-1781(88)90076-5","article-title":"The continuous performance test, identical pairs version (CPT-IP): I. new findings about sustained attention in normal families","volume":"26","author":"Cornblatt","year":"1988","journal-title":"Psychiatry Res."},{"issue":"8","key":"10.1016\/j.brainres.2025.149660_b0035","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1016\/S0006-3223(98)00043-2","article-title":"Multiple correlations and bonferroni\u2019s correction","volume":"44","author":"Curtin","year":"1998","journal-title":"Biol. Psychiatry"},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0040","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1089\/brain.2016.0476","article-title":"Electroencephalographic Resting-State Networks: Source Localization of Microstates","volume":"7","author":"Custo","year":"2017","journal-title":"Brain Connect."},{"issue":"3","key":"10.1016\/j.brainres.2025.149660_b0045","doi-asserted-by":"crossref","first-page":"453","DOI":"10.12740\/PP\/OnlineFirst\/105415","article-title":"Cognitive dysfunctions in depression \u2013 significance, description and treatment prospects","volume":"54","author":"Czerwi\u0144ska","year":"2020","journal-title":"Psychiatria Polska"},{"key":"10.1016\/j.brainres.2025.149660_b0050","article-title":"EEG Resting-State Large-Scale Brain Network Dynamics Are Related to Depressive Symptoms","volume":"10","author":"Damborsk\u00e1","year":"2019","journal-title":"Front. Psych."},{"issue":"1","key":"10.1016\/j.brainres.2025.149660_b0055","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1038\/s41398-020-00963-7","article-title":"EEG microstates as biomarker for psychosis in ultra-high-risk patients","volume":"10","author":"de Bock","year":"2020","journal-title":"Transl. Psychiatry"},{"issue":"1","key":"10.1016\/j.brainres.2025.149660_b0060","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"issue":"14","key":"10.1016\/j.brainres.2025.149660_b0065","doi-asserted-by":"crossref","first-page":"6611","DOI":"10.1017\/S0033291722004007","article-title":"Cognitive performance and brain structural connectome alterations in major depressive disorder","volume":"53","author":"Gruber","year":"2023","journal-title":"Psychol. Med."},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0070","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.biopsych.2011.02.003","article-title":"Default-Mode and Task-Positive Network Activity in Major Depressive Disorder: Implications for Adaptive and Maladaptive Rumination","volume":"70","author":"Hamilton","year":"2011","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.brainres.2025.149660_b0075","article-title":"Abnormalities in Electroencephalographic Microstates Among Adolescents With First Episode Major Depressive Disorder","volume":"12","author":"He","year":"2021","journal-title":"Front. Psych."},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0080","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1177\/1073858405277450","article-title":"Thalamic Mechanisms of EEG Alpha Rhythms and Their Pathological Implications","volume":"11","author":"Hughes","year":"2005","journal-title":"The Neuroscientist"},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0085","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1016\/S1388-2457(00)00386-2","article-title":"Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects","volume":"111","author":"Jung","year":"2000","journal-title":"Clin. Neurophysiol."},{"issue":"6","key":"10.1016\/j.brainres.2025.149660_b0090","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","article-title":"Large-Scale Network Dysfunction in Major Depressive Disorder","volume":"72","author":"Kaiser","year":"2015","journal-title":"JAMA Psychiat."},{"key":"10.1016\/j.brainres.2025.149660_b0095","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neubiorev.2014.12.010","article-title":"Microstates in resting-state EEG: Current status and future directions","volume":"49","author":"Khanna","year":"2015","journal-title":"Neuroscience & Biobehavioral Reviews"},{"key":"10.1016\/j.brainres.2025.149660_b0100","doi-asserted-by":"crossref","unstructured":"Kieslich da Silva, A., Reche, M., Lima, A. F. da S., Fleck, M. P. de A., Capp, E., & Shansis, F. M. (2019). Assessment of the psychometric properties of the 17- and 6-item Hamilton Depression Rating Scales in major depressive disorder, bipolar depression and bipolar depression with mixed features. Journal of Psychiatric Research, 108, 84\u201389. https:\/\/doi.org\/10.1016\/j.jpsychires.2018.07.009.","DOI":"10.1016\/j.jpsychires.2018.07.009"},{"issue":"7","key":"10.1016\/j.brainres.2025.149660_b0105","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0022912","article-title":"EEG microstate analysis in drug-naive patients with panic disorder","volume":"6","author":"Kikuchi","year":"2011","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.brainres.2025.149660_b0110","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1097\/YCO.0000000000000378","article-title":"Cognitive dysfunction in major depressive disorder","volume":"31","author":"Knight","year":"2018","journal-title":"Curr. Opin. Psychiatry"},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0115","doi-asserted-by":"crossref","first-page":"945","DOI":"10.30773\/pi.2018.07.22","article-title":"Assessment of Cognition in Schizophrenia Using Trail Making Test: A Meta-Analysis","volume":"15","author":"Laere","year":"2018","journal-title":"Psychiatry Investig."},{"issue":"3","key":"10.1016\/j.brainres.2025.149660_b0120","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0013-4694(87)90025-3","article-title":"EEG alpha map series: brain micro-states by space-oriented adaptive segmentation","volume":"67","author":"Lehmann","year":"1987","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"10.1016\/j.brainres.2025.149660_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2022.110514","article-title":"EEG microstates as markers of major depressive disorder and predictors of response to SSRIs therapy","volume":"116","author":"Lei","year":"2022","journal-title":"Prog. Neuropsychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.brainres.2025.149660_b0130","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.jad.2020.01.052","article-title":"Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder","volume":"265","author":"Liang","year":"2020","journal-title":"J. Affect. Disord."},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0135","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1007\/s10548-020-00777-2","article-title":"Reliability and Individual Specificity of EEG Microstate Characteristics","volume":"33","author":"Liu","year":"2020","journal-title":"Brain Topogr."},{"issue":"10161","key":"10.1016\/j.brainres.2025.149660_b0140","doi-asserted-by":"crossref","first-page":"2299","DOI":"10.1016\/S0140-6736(18)31948-2","article-title":"Depression","volume":"392","author":"Malhi","year":"2018","journal-title":"The Lancet"},{"key":"10.1016\/j.brainres.2025.149660_b0145","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.neuroimage.2017.11.062","article-title":"EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review","volume":"180","author":"Michel","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2025.149660_b0150","article-title":"Electrocorticographic Activation Patterns of Electroencephalographic Microstates","author":"Mikutta","year":"2023","journal-title":"Brain Topogr."},{"key":"10.1016\/j.brainres.2025.149660_b0155","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.neuroimage.2017.08.058","article-title":"The EEG microstate topography is predominantly determined by intracortical sources in the alpha band","volume":"162","author":"Milz","year":"2017","journal-title":"Neuroimage"},{"issue":"12","key":"10.1016\/j.brainres.2025.149660_b0160","doi-asserted-by":"crossref","first-page":"2030","DOI":"10.1038\/s41386-020-0749-1","article-title":"Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder","volume":"45","author":"Murphy","year":"2020","journal-title":"Neuropsychopharmacology"},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0165","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10548-008-0054-5","article-title":"Topographic ERP Analyses: A Step-by-Step Tutorial Review","volume":"20","author":"Murray","year":"2008","journal-title":"Brain Topogr."},{"issue":"2","key":"10.1016\/j.brainres.2025.149660_b0170","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1176\/appi.ajp.2007.07010042","article-title":"The MATRICS Consensus Cognitive Battery, Part 1: Test Selection, Reliability, and Validity","volume":"165","author":"Nuechterlein","year":"2008","journal-title":"Am. J. Psychiatry"},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0175","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1016\/S2215-0366(19)30278-0","article-title":"Cognitive impairment in people remitted from major depression","volume":"6","author":"Porter","year":"2019","journal-title":"Lancet Psychiatry"},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0180","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1002\/1097-4679(197810)34:4<816::AID-JCLP2270340402>3.0.CO;2-Q","article-title":"Wechsler memory scale: A selective review of the literature","volume":"34","author":"Prigatano","year":"1978","journal-title":"J. Clin. Psychol."},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0185","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1016\/j.neubiorev.2013.07.018","article-title":"Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies","volume":"37","author":"Rive","year":"2013","journal-title":"Neuroscience & Biobehavioral Reviews"},{"key":"10.1016\/j.brainres.2025.149660_b0190","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyg.2021.648346","article-title":"The Relationship Between Facial Expression and Cognitive Function in Patients With Depression","volume":"12","author":"Ruihua","year":"2021","journal-title":"Front. Psychol."},{"key":"10.1016\/j.brainres.2025.149660_b0195","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.neuroimage.2016.10.002","article-title":"Cognitive manipulation of brain electric microstates","volume":"146","author":"Seitzman","year":"2017","journal-title":"Neuroimage"},{"issue":"10","key":"10.1016\/j.brainres.2025.149660_b0200","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/S2215-0366(19)30291-3","article-title":"Cognitive function following a major depressive episode: a systematic review and meta-analysis","volume":"6","author":"Semkovska","year":"2019","journal-title":"Lancet Psychiatry"},{"issue":"1\u20133","key":"10.1016\/j.brainres.2025.149660_b0205","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.schres.2015.09.003","article-title":"The MATRICS Consensus Cognitive Battery (MCCB): Co-norming and standardization in China","volume":"169","author":"Shi","year":"2015","journal-title":"Schizophr. Res."},{"issue":"1","key":"10.1016\/j.brainres.2025.149660_b0210","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1037\/a0028727","article-title":"Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review","volume":"139","author":"Snyder","year":"2013","journal-title":"Psychol. Bull."},{"issue":"2","key":"10.1016\/j.brainres.2025.149660_b0215","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s10548-023-00958-9","article-title":"The Functional Aspects of Resting EEG Microstates: A Systematic Review","volume":"37","author":"Tarailis","year":"2024","journal-title":"Brain Topogr."},{"issue":"42","key":"10.1016\/j.brainres.2025.149660_b0225","doi-asserted-by":"crossref","first-page":"18179","DOI":"10.1073\/pnas.1007841107","article-title":"EEG microstate sequences in healthy humans at rest reveal scale-free dynamics","volume":"107","author":"Van De Ville","year":"2010","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.brainres.2025.149660_b0230","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.jad.2020.03.175","article-title":"Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience?","volume":"272","author":"Vellante","year":"2020","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.brainres.2025.149660_b0235","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117372","article-title":"EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations","volume":"224","author":"von Wegner","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2025.149660_b0240","doi-asserted-by":"crossref","DOI":"10.3389\/fncom.2018.00070","article-title":"EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically Invariant","volume":"12","author":"von Wegner","year":"2018","journal-title":"Front. Comput. Neurosci."},{"key":"10.1016\/j.brainres.2025.149660_b0245","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.2147\/NDT.S195505","article-title":"Cognitive symptoms in major depressive disorder: associations with clinical and functional outcomes in a 6-month, non-interventional, prospective study in China","volume":"15","author":"Wang","year":"2019","journal-title":"Neuropsychiatr. Dis. Treat."},{"issue":"3","key":"10.1016\/j.brainres.2025.149660_b0250","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1093\/arclin\/acw100","article-title":"The Chinese Version of the Brief Assessment of Cognition in Schizophrenia: Data of a Large-Scale Mandarin-Speaking Population","volume":"32","author":"Wang","year":"2017","journal-title":"Arch. Clin. Neuropsychol."},{"key":"10.1016\/j.brainres.2025.149660_b0255","article-title":"Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies","volume":"32","author":"Zackov\u00e1","year":"2021","journal-title":"Neuroimage: Clinical"},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0260","doi-asserted-by":"crossref","first-page":"3548","DOI":"10.1016\/j.neuroimage.2011.11.023","article-title":"Functional connectivity mapping of the human precuneus by resting state fMRI","volume":"59","author":"Zhang","year":"2012","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.brainres.2025.149660_b0265","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1097\/WNR.0b013e3283249b34","article-title":"Decreased gyrification in major depressive disorder","volume":"20","author":"Zhang","year":"2009","journal-title":"Neuroreport"},{"issue":"3","key":"10.1016\/j.brainres.2025.149660_b0270","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.3390\/ijerph19031778","article-title":"Temporal and Spatial Dynamics of EEG Features in Female College Students with Subclinical Depression","volume":"19","author":"Zhao","year":"2022","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"10.1016\/j.brainres.2025.149660_b0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116287","article-title":"Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression","volume":"206","author":"Zhou","year":"2020","journal-title":"Neuroimage"}],"container-title":["Brain Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899325002197?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899325002197?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T21:08:21Z","timestamp":1767992901000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0006899325002197"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":54,"alternative-id":["S0006899325002197"],"URL":"https:\/\/doi.org\/10.1016\/j.brainres.2025.149660","relation":{},"ISSN":["0006-8993"],"issn-type":[{"value":"0006-8993","type":"print"}],"subject":[],"published":{"date-parts":[[2025,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Association between Electroencephalographic microstates abnormalities and cognitive dysfunction in drug-naive MDD","name":"articletitle","label":"Article Title"},{"value":"Brain Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.brainres.2025.149660","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"149660"}}