{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T04:08:24Z","timestamp":1793506104898,"version":"4.5.0"},"reference-count":53,"publisher":"Baishideng Publishing Group Inc.","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Psychiatry"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n          <jats:p>A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography (EEG) in people with depression. However, the consistency of findings on EEG microstates in patients with depression is poor, and few studies have reported the relationship between EEG microstates, cognitive scales, and depression severity scales.<\/jats:p>\n          <jats:p>AIM<\/jats:p>\n          <jats:p>To investigate the EEG microstate characteristics of patients with depression and their association with cognitive functions.<\/jats:p>\n          <jats:p>METHODS<\/jats:p>\n          <jats:p>A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. We collected information relating to demographic and clinical characteristics, as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS; Chinese version) and EEG.<\/jats:p>\n          <jats:p>RESULTS<\/jats:p>\n          <jats:p>Compared with the controls, the duration, occurrence, and contribution of microstate C were significantly higher [depression (DEP): Duration 84.58 \u00b1 24.35, occurrence 3.72 \u00b1 0.56, contribution 30.39 \u00b1 8.59; CON: Duration 72.77 \u00b1 10.23, occurrence 3.41 \u00b1 0.36, contribution 24.46 \u00b1 4.66; Duration F  = 6.02, P  = 0.049; Occurrence F  = 6.19, P  = 0.049; Contribution F  = 10.82, P  = 0.011] while the duration, occurrence, and contribution of microstate D were significantly lower (DEP: Duration 70.00 \u00b1 15.92, occurrence 3.18 \u00b1 0.71, contribution 22.48 \u00b1 8.12; CON: Duration 85.46 \u00b1 10.23, occurrence 3.54 \u00b1 0.41, contribution 28.25 \u00b1 5.85; Duration F  = 19.18, P  &lt; 0.001; Occurrence F  = 5.79, P  = 0.050; Contribution F  = 9.41, P  = 0.013) in patients with depression. A positive correlation was observed between the visuospatial\/constructional scores of the RBANS scale and the transition probability of microstate class C to B (r  = 0.405, P  = 0.049).<\/jats:p>\n          <jats:p>CONCLUSION<\/jats:p>\n          <jats:p>EEG microstate, especially C and D, is a possible biomarker in depression. Patients with depression had a more frequent transition from microstate C to B, which may relate to more negative rumination and visual processing.<\/jats:p>","DOI":"10.5498\/wjp.v14.i1.128","type":"journal-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T07:15:44Z","timestamp":1705648544000},"page":"128-140","source":"Crossref","is-referenced-by-count":27,"title":["Abnormalities of electroencephalography microstates in patients with depression and their association with cognitive function"],"prefix":"10.5498","volume":"14","author":[{"given":"Rui-Jie","family":"Peng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Bin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2024,1,19]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2016.65"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbi.2021.01.016"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(15)60692-4"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-publhealth-031912-114409"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1038\/nrn4044"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1016\/j.mbs.2010.12.003"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/j.euroneuro.2015.03.007"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1177\/1550059417746212"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(87)90025-3"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.7632"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.02.052"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.761203"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbr.2019.111964"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/j.scog.2015.04.005"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2019.00826"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2020.03.175"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2019.00056"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1016\/s0925-4927(98)00044-4"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2018.00395"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-16914-1"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2021.113866"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12111497"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.775156"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.695272"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.3390\/su13126822"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-022-00905-0"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2022.110514"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1016\/j.brs.2022.01.007"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1097\/YCO.0000000000000378"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1080\/00325481.2016.1221318"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.3389\/fnbeh.2014.00163"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2014.12.010"},{"key":"B33","unstructured":"Wang J, Li C, Cheng Y, Yi Z, Long B, Wang JJ. 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