{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:14:03Z","timestamp":1788480843889,"version":"build-2803163510"},"reference-count":75,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2021B1515020064"],"award-info":[{"award-number":["2021B1515020064"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Municipal Science and Technology Program key projects","doi-asserted-by":"publisher","award":["2023A03J0839"],"award-info":[{"award-number":["2023A03J0839"]}],"id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Municipal Science and Technology Program key projects","doi-asserted-by":"publisher","award":["2025A03J3357"],"award-info":[{"award-number":["2025A03J3357"]}],"id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Municipal Science and Technology Program key projects","doi-asserted-by":"publisher","award":["2023A03J0856"],"award-info":[{"award-number":["2023A03J0856"]}],"id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011383"],"award-info":[{"award-number":["2023A1515011383"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2025A1515010507"],"award-info":[{"award-number":["2025A1515010507"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82301688"],"award-info":[{"award-number":["82301688"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2025YFC3410005"],"award-info":[{"award-number":["2025YFC3410005"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2025YFC3410000"],"award-info":[{"award-number":["2025YFC3410000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015956","name":"Special Project for Research and Development in Key areas of Guangdong Province","doi-asserted-by":"publisher","award":["2023B0303020001"],"award-info":[{"award-number":["2023B0303020001"]}],"id":[{"id":"10.13039\/501100015956","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009659","name":"Guangzhou Medical University","doi-asserted-by":"publisher","award":["2024SRP200"],"award-info":[{"award-number":["2024SRP200"]}],"id":[{"id":"10.13039\/100009659","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":["Journal of Affective Disorders"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.jad.2026.121373","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:01:37Z","timestamp":1770739297000},"page":"121373","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["EEG microstate dynamics reveal progressive sensorimotor network dysfunction across levels of anxiety severity in drug-na\u00efve major depressive disorder"],"prefix":"10.1016","volume":"402","author":[{"given":"Zhendong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hehua","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhang","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanting","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingping","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Yi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shixuan","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shisong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lida","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengchun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2026.121373_bb0005","doi-asserted-by":"crossref","first-page":"56","DOI":"10.3389\/fnhum.2019.00056","article-title":"EEG microstates temporal dynamics differentiate individuals with mood and anxiety disorders from healthy subjects","volume":"13","author":"Al Zoubi","year":"2019","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0010","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1038\/nrn2648","article-title":"Stress signalling pathways that impair prefrontal cortex structure and function","volume":"10","author":"Arnsten","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0015","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate - a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Ser. B Stat Methodol."},{"key":"10.1016\/j.jad.2026.121373_bb0020","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.jad.2026.121373_bb0025","first-page":"2025","article-title":"EEG microstate analysis between patients with major depressive disorder, subclinical depression, and healthy controls","volume":"16","author":"Chang","year":"2025"},{"key":"10.1016\/j.jad.2026.121373_bb0030","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.bbi.2020.07.004","article-title":"Inflammation is associated with decreased functional connectivity of insula in unmedicated bipolar disorder","volume":"89","author":"Chen","year":"2020","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.jad.2026.121373_bb0035","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1017\/S0033291720002378","article-title":"Shared and specific patterns of dynamic functional connectivity variability of striato-cortical circuitry in unmedicated bipolar and major depressive disorders","volume":"52","author":"Chen","year":"2022","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2026.121373_bb0040","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s10548-023-00999-0","article-title":"EEG microstates in mood and anxiety disorders: a meta-analysis","volume":"37","author":"Chivu","year":"2024","journal-title":"Brain Topogr."},{"key":"10.1016\/j.jad.2026.121373_bb0045","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/978-981-32-9705-0_14","article-title":"Comorbid anxiety and depression: clinical and conceptual consideration and transdiagnostic treatment","volume":"1191","author":"Choi","year":"2020","journal-title":"Adv. Exp. Med. Biol."},{"key":"10.1016\/j.jad.2026.121373_bb0050","doi-asserted-by":"crossref","DOI":"10.1093\/scan\/nsad032","article-title":"The default mode network and rumination in individuals at risk for depression","volume":"18","author":"Chou","year":"2023","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0055","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1002\/da.23009","article-title":"Insula shows abnormal task-evoked and resting-state activity in first-episode drug-na\u00efve generalized anxiety disorder","volume":"37","author":"Cui","year":"2020","journal-title":"Depress. Anxiety"},{"key":"10.1016\/j.jad.2026.121373_bb0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.cpr.2025.102593","article-title":"Machine learning in the prediction of treatment response for emotional disorders: a systematic review and meta-analysis","volume":"120","author":"Curtiss","year":"2025","journal-title":"Clin. Psychol. Rev."},{"key":"10.1016\/j.jad.2026.121373_bb0065","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."},{"key":"10.1016\/j.jad.2026.121373_bb0070","doi-asserted-by":"crossref","DOI":"10.1155\/2007\/60803","article-title":"The temporal dynamics model of emotional memory processing: a synthesis on the neurobiological basis of stress-induced amnesia, flashbulb and traumatic memories, and the Yerkes-Dodson law","volume":"2007","author":"Diamond","year":"2007","journal-title":"Neural Plast."},{"key":"10.1016\/j.jad.2026.121373_bb0075","doi-asserted-by":"crossref","first-page":"1210","DOI":"10.1016\/j.jad.2020.12.092","article-title":"Losing trust in body sensations: interoceptive awareness and depression symptom severity among primary care patients","volume":"282","author":"Dunne","year":"2021","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0080","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1038\/s44220-023-00046-8","article-title":"Network-specific metabolic and haemodynamic effects elicited by non-invasive brain stimulation","volume":"1","author":"Eldaief","year":"2023","journal-title":"Nat. Ment. Health"},{"key":"10.1016\/j.jad.2026.121373_bb0085","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1016\/j.biopsych.2014.12.011","article-title":"Altered structure of dynamic electroencephalogram oscillatory pattern in major depression","volume":"77","author":"Fingelkurts","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2026.121373_bb0090","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.neuroimage.2014.10.014","article-title":"A stochastic model for EEG microstate sequence analysis","volume":"104","author":"G\u00e4rtner","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2026.121373_bb0095","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.jpsychires.2016.09.018","article-title":"Anxious distress predicts subsequent treatment outcome and side effects in depressed patients starting antidepressant treatment","volume":"84","author":"Gaspersz","year":"2017","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.jad.2026.121373_bb0100","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0299835","article-title":"The relationship between interoceptive emotional awareness, neuroticism, and depression, anxiety, and stress","volume":"19","author":"Grimble","year":"2024","journal-title":"PLoS One"},{"key":"10.1016\/j.jad.2026.121373_bb0105","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1111\/j.2044-8341.1959.tb00467.x","article-title":"The assessment of anxiety states by rating","volume":"32","author":"Hamilton","year":"1959","journal-title":"Br. J. Med. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0110","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1111\/j.2044-8260.1967.tb00530.x","article-title":"Development of a rating scale for primary depressive illness","volume":"6","author":"Hamilton","year":"1967","journal-title":"Br. J. Soc. Clin. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0115","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.jad.2024.12.095","article-title":"Diminished attention network activity and heightened salience-default mode transitions in generalized anxiety disorder: evidence from resting-state EEG microstate analysis","volume":"373","author":"Hao","year":"2025","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0120","article-title":"Abnormalities in electroencephalographic microstates among adolescents with first episode major depressive disorder","volume":"12","author":"He","year":"2021","journal-title":"Front. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0125","doi-asserted-by":"crossref","DOI":"10.1186\/s12888-025-07617-2","article-title":"Association between EEG microstate and cognitive function in depressed patients with and without suicidal ideation","author":"He","year":"2025","journal-title":"BMC Psychiatr."},{"key":"10.1016\/j.jad.2026.121373_bb0130","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s40120-023-00469-6","article-title":"Anxiety symptoms in patients with major depressive disorder: commentary on prevalence and clinical implications","volume":"12","author":"Hopwood","year":"2023","journal-title":"Neurol. Ther."},{"key":"10.1016\/j.jad.2026.121373_bb0135","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.jpsychires.2023.07.020","article-title":"A resting-state electroencephalographic microstates study in depressed adolescents with non-suicidal self-injury","volume":"165","author":"Hu","year":"2023","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.jad.2026.121373_bb0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2024.102673","article-title":"Interoception in anxiety, depression, and psychosis: a review","volume":"73","author":"Jenkinson","year":"2024","journal-title":"EClinicalMedicine"},{"key":"10.1016\/j.jad.2026.121373_bb0145","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":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.jad.2026.121373_bb0150","article-title":"A roadmap to understanding interoceptive awareness and post-traumatic stress disorder: a scoping review","volume":"15","author":"Leech","year":"2024","journal-title":"Front. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0155","article-title":"Anterior insula and mid-cingulate cortex differentially regulate anxiety and fear brain\u2013body responses","volume":"2025.2010.2008.25337596","author":"Legon","year":"2025","journal-title":"medRxiv"},{"key":"10.1016\/j.jad.2026.121373_bb0160","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. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2026.121373_bb0165","first-page":"465","article-title":"The altered somatic brain network in state anxiety","volume":"10","author":"Li","year":"2019","journal-title":"Front. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0170","doi-asserted-by":"crossref","first-page":"189","DOI":"10.26599\/BSA.2020.9050019","article-title":"Demystifying signal processing techniques to extract resting- state EEG features for psychologists","volume":"6","author":"Li","year":"2020","journal-title":"Brain Sci. Adv."},{"key":"10.1016\/j.jad.2026.121373_bb0175","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1038\/s41586-024-07805-2","article-title":"Frontostriatal salience network expansion in individuals in depression","volume":"633","author":"Lynch","year":"2024","journal-title":"Nature"},{"key":"10.1016\/j.jad.2026.121373_bb0180","doi-asserted-by":"crossref","first-page":"12574","DOI":"10.1073\/pnas.1608282113","article-title":"Situating the default-mode network along a principal gradient of macroscale cortical organization","volume":"113","author":"Margulies","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10.1016\/j.jad.2026.121373_bb0185","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1002\/mpr.323","article-title":"Identifying HAM-A cutoffs for mild, moderate, and severe generalized anxiety disorder","volume":"19","author":"Matza","year":"2010","journal-title":"Int. J. Methods Psychiatr. Res."},{"key":"10.1016\/j.jad.2026.121373_bb0190","article-title":"Neurobiological and systemic effects of chronic stress","volume":"1","author":"McEwen","year":"2017","journal-title":"Chron. Stress (Thousand Oaks, Calif.)"},{"key":"10.1016\/j.jad.2026.121373_bb0195","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1146\/annurev-med-052209-100430","article-title":"Stress- and allostasis-induced brain plasticity","volume":"62","author":"McEwen","year":"2011","journal-title":"Annu. Rev. Med."},{"key":"10.1016\/j.jad.2026.121373_bb0200","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.jad.2026.121373_bb0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.psychres.2022.115036","article-title":"Real-world data of non-invasive stimulation of the human insula-prefrontal cortices using deep TMS to treat anxiety for occupational stress and generalized anxiety disorder","volume":"320","author":"Moraga-Amaro","year":"2023","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.jad.2026.121373_bb0210","first-page":"35","article-title":"Electroencephalogram microstate abnormalities in early-course psychosis","volume":"5","author":"Murphy","year":"2020","journal-title":"Biol. Psychiatry: Cognit. Neurosci. Neuroimaging"},{"key":"10.1016\/j.jad.2026.121373_bb0215","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"},{"key":"10.1016\/j.jad.2026.121373_bb0220","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s10548-023-01003-5","article-title":"MICROSTATELAB: the EEGLAB toolbox for resting-state microstate analysis","volume":"37","author":"Nagabhushan Kalburgi","year":"2024","journal-title":"Brain Topogr."},{"key":"10.1016\/j.jad.2026.121373_bb0225","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1002\/da.23264","article-title":"Neural correlates of anxious distress in depression: a neuroimaging study of reactivity to emotional faces and resting-state functional connectivity","volume":"39","author":"Nawijn","year":"2022","journal-title":"Depress. Anxiety"},{"key":"10.1016\/j.jad.2026.121373_bb0230","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1038\/mp.2014.68","article-title":"Why are cortical GABA neurons relevant to internal focus in depression? A cross-level model linking cellular, biochemical and neural network findings","volume":"19","author":"Northoff","year":"2014","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2026.121373_bb0235","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1080\/13651501.2021.1907415","article-title":"How significant is the assessment of the DSM-5 \u2018anxious distress\u2019 specifier in patients with major depressive disorder without comorbid anxiety disorders in the continuation\/maintenance phase?","volume":"25","author":"Otsubo","year":"2021","journal-title":"Int. J. Psychiatry Clin. Pract."},{"key":"10.1016\/j.jad.2026.121373_bb0240","doi-asserted-by":"crossref","first-page":"2019","DOI":"10.3389\/fpsyt.2019.00616","article-title":"Altered interoceptive processing in generalized anxiety disorder\u2014a heartbeat-evoked potential research","volume":"10","author":"Pang","year":"2019","journal-title":"Front. Psychiatr."},{"key":"10.1016\/j.jad.2026.121373_bb0245","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.biopsych.2006.03.042","article-title":"An insular view of anxiety","volume":"60","author":"Paulus","year":"2006","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2026.121373_bb0250","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1007\/s00429-010-0258-9","article-title":"Interoception in anxiety and depression","volume":"214","author":"Paulus","year":"2010","journal-title":"Brain Struct. Funct."},{"key":"10.1016\/j.jad.2026.121373_bb0255","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.tins.2020.09.012","article-title":"Computational models of Interoception and body regulation","volume":"44","author":"Petzschner","year":"2021","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0260","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s10548-022-00905-0","article-title":"EEG microstate temporal dynamics predict depressive symptoms in college students","volume":"35","author":"Qin","year":"2022","journal-title":"Brain Topogr."},{"key":"10.1016\/j.jad.2026.121373_bb0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.brainres.2025.149660","article-title":"Association between electroencephalographic microstates abnormalities and cognitive dysfunction in drug-naive MDD","volume":"1860","author":"Qin","year":"2025","journal-title":"Brain Res."},{"key":"10.1016\/j.jad.2026.121373_bb0270","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.jad.2025.01.061","article-title":"Abnormally slow dynamics in occipital cortex of depression","volume":"374","author":"Scalabrini","year":"2025","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0275","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2023.1133367","article-title":"The role of the salience network in cognitive and affective deficits","volume":"17","author":"Schimmelpfennig","year":"2023","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0280","doi-asserted-by":"crossref","first-page":"9878","DOI":"10.1523\/JNEUROSCI.1138-17.2019","article-title":"The salience network: a neural system for perceiving and responding to homeostatic demands","volume":"39","author":"Seeley","year":"2019","journal-title":"J. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0285","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"},{"key":"10.1016\/j.jad.2026.121373_bb0290","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.ijpsycho.2015.07.001","article-title":"Transdiagnostic dimensions of anxiety: neural mechanisms, executive functions, and new directions","volume":"98","author":"Sharp","year":"2015","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.jad.2026.121373_bb0295","doi-asserted-by":"crossref","first-page":"2108","DOI":"10.1038\/s41598-021-81307-3","article-title":"Perceptual insensitivity to the modulation of interoceptive signals in depression, anxiety, and substance use disorders","volume":"11","author":"Smith","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jad.2026.121373_bb0300","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s40501-014-0019-0","article-title":"Neural circuitry of interoception: new insights into anxiety and obsessive-compulsive disorders","volume":"1","author":"Stern","year":"2014","journal-title":"Curr. Treat. Options Psychiatry"},{"key":"10.1016\/j.jad.2026.121373_bb0305","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."},{"key":"10.1016\/j.jad.2026.121373_bb0310","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1093\/scan\/nss108","article-title":"Anterior insular cortex mediates bodily sensibility and social anxiety","volume":"8","author":"Terasawa","year":"2013","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.jad.2026.121373_bb0315","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2021.102570","article-title":"Reduced functional connectivity of default mode network subsystems in depression: meta-analytic evidence and relationship with trait rumination","volume":"30","author":"Tozzi","year":"2021","journal-title":"NeuroImage. Clin."},{"key":"10.1016\/j.jad.2026.121373_bb0320","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1097\/WNP.0000000000000377","article-title":"Structure and function of the human insula","volume":"34","author":"Uddin","year":"2017","journal-title":"J. Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2026.121373_bb0325","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.ijpsycho.2020.05.004","article-title":"Attentional threat biases and their role in anxiety: a neurophysiological perspective","volume":"153","author":"Wieser","year":"2020","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.jad.2026.121373_bb9000","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.34133\/research.1142","article-title":"The Brain-Gut Health Initiative (BIGHI): A Prospective Cohort on Psychiatric Disorders in China","author":"Wu","year":"2026","journal-title":"Research"},{"key":"10.1016\/j.jad.2026.121373_bb0330","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1007\/s10548-024-01082-y","article-title":"Unveiling frequency-specific microstate correlates of anxiety and depression symptoms","volume":"38","author":"Xue","year":"2024","journal-title":"Brain Topogr."},{"key":"10.1016\/j.jad.2026.121373_bb0335","article-title":"Prediction of clinical outcomes with EEG microstate in patients with major depressive disorder","volume":"12","author":"Yan","year":"2021","journal-title":"Front. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0340","doi-asserted-by":"crossref","DOI":"10.1016\/j.jad.2025.120402","article-title":"Large-scale brain network alterations in young individuals with comorbid social anxiety and depression: evidence from resting-state EEG spectral and microstate analyses","volume":"393","author":"Yang","year":"2026","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0345","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1002\/cne.920180503","article-title":"The relation of strength of stimulus to rapidity of habit-formation","volume":"18","author":"Yerkes","year":"1908","journal-title":"J. Comp. Neurol. Psychol."},{"key":"10.1016\/j.jad.2026.121373_bb0350","doi-asserted-by":"crossref","DOI":"10.1016\/j.jad.2025.119511","article-title":"EEG microstates as indicators and predictors of response through 4 weeks of treatment in adolescents with major depressive disorder","volume":"391","author":"Zhang","year":"2025","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0355","doi-asserted-by":"crossref","DOI":"10.1016\/j.jad.2025.120489","article-title":"A potential biomarker of varying severity in patients with first-episode drug-na\u00efve depressive disorder: evidence from the alteration of EEG microstates","volume":"394","author":"Zhang","year":"2026","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2026.121373_bb0360","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.ejrad.2007.02.006","article-title":"Altered default mode network activity in patient with anxiety disorders: an fMRI study","volume":"63","author":"Zhao","year":"2007","journal-title":"Eur. J. Radiol."},{"key":"10.1016\/j.jad.2026.121373_bb0365","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"},{"key":"10.1016\/j.jad.2026.121373_bb0370","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2023.120499","article-title":"Prediction of anxious depression using multimodal neuroimaging and machine learning","volume":"285","author":"Zhou","year":"2024","journal-title":"NeuroImage"}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032726002247?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032726002247?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T04:12:41Z","timestamp":1782274361000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032726002247"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":75,"alternative-id":["S0165032726002247"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2026.121373","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"EEG microstate dynamics reveal progressive sensorimotor network dysfunction across levels of anxiety severity in drug-na\u00efve major depressive disorder","name":"articletitle","label":"Article Title"},{"value":"Journal of Affective Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jad.2026.121373","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"121373"}}