{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T16:05:15Z","timestamp":1791389115748,"version":"4.3.3"},"reference-count":51,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100017700","name":"Henan Provincial Science and Technology Research Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017700","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Affective Disorders"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.jad.2024.09.040","type":"journal-article","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T16:18:11Z","timestamp":1725985091000},"page":"777-787","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":23,"special_numbering":"C","title":["Common and differential EEG microstate of major depressive disorder patients with and without response to rTMS treatment"],"prefix":"10.1016","volume":"367","author":[{"given":"Zongya","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangying","family":"Ran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junming","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyang","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyue","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanxiang","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongtao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhixian","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wu","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuezhi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofeng","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinggui","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2024.09.040_bb0005","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.jad.2024.09.040_bb0010","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.2024.09.040_bb0015","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.bbi.2021.01.016","article-title":"Elevated peripheral inflammation is associated with attenuated striatal reward anticipation in major depressive disorder","volume":"93","author":"Burrows","year":"2021","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.jad.2024.09.040_bb0020","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks[J]","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"issue":"10","key":"10.1016\/j.jad.2024.09.040_bb0025","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.2024.09.040_bb0030","doi-asserted-by":"crossref","first-page":"548","DOI":"10.3389\/fpsyt.2019.00548","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.jad.2024.09.040_bb0035","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":"1","key":"10.1016\/j.jad.2024.09.040_bb0040","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/s41597-022-01409-z","article-title":"The two decades brainclinics research archive for insights in neurophysiology (TDBRAIN) database","volume":"9","author":"van Dijk","year":"2022","journal-title":"Sci. Data"},{"key":"10.1016\/j.jad.2024.09.040_bb0045","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2023.919977","article-title":"Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder","volume":"17","author":"Ebrahimzadeh","year":"2023","journal-title":"Front. Syst. Neurosci."},{"issue":"6","key":"10.1016\/j.jad.2024.09.040_bb0050","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1038\/s41386-020-0633-z","article-title":"Global connectivity and local excitability changes underlie antidepressant effects of repetitive transcranial magnetic stimulation","volume":"45","author":"Eshel","year":"2020","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2024.09.040_bb0055","series-title":"Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","article-title":"XGBoost: A scalable tree boosting system","author":"Ester","year":"2016"},{"issue":"1","key":"10.1016\/j.jad.2024.09.040_bb0060","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","article-title":"A decision-theoretic generalization of on-line learning and an application to boosting","volume":"55","author":"Freund","year":"1997","journal-title":"J. Comput. Syst. Sci."},{"issue":"9995","key":"10.1016\/j.jad.2024.09.040_bb0065","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/S0140-6736(15)60692-4","article-title":"Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990\u20132013: a systematic analysis for the Global Burden of Disease Study 2013","volume":"386","year":"2015","journal-title":"Lancet"},{"issue":"2","key":"10.1016\/j.jad.2024.09.040_bb0070","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.brs.2022.01.007","article-title":"Large-scale EEG neural network changes in response to therapeutic TMS","volume":"15","author":"Gold","year":"2022","journal-title":"Brain Stimul."},{"key":"10.1016\/j.jad.2024.09.040_bb0075","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.jad.2019.05.070","article-title":"Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal","volume":"256","author":"Hasanzadeh","year":"2019","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2024.09.040_bb0080","series-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction[M]","author":"Hastie","year":"2009"},{"issue":"10328","key":"10.1016\/j.jad.2024.09.040_bb0085","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/S0140-6736(21)02141-3","article-title":"Time for united action on depression: a lancet-world psychiatric association commission","volume":"399","author":"Herrman","year":"2022","journal-title":"Lancet"},{"issue":"12","key":"10.1016\/j.jad.2024.09.040_bb0090","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0114163","article-title":"Reliability of resting-state microstate features in electroencephalography","volume":"9","author":"Khanna","year":"2014","journal-title":"PloS One"},{"key":"10.1016\/j.jad.2024.09.040_bb0095","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."},{"issue":"4","key":"10.1016\/j.jad.2024.09.040_bb0100","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/s004060050088","article-title":"A deviant EEG brain microstate in acute, neuroleptic-naive schizophrenics at rest","volume":"249","author":"Koenig","year":"1999","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"issue":"1","key":"10.1016\/j.jad.2024.09.040_bb0105","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1006\/nimg.2002.1070","article-title":"Millisecond by millisecond, year by year: normative EEG microstates and developmental stages","volume":"16","author":"Koenig","year":"2002","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.jad.2024.09.040_bb0110","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."},{"issue":"3","key":"10.1016\/j.jad.2024.09.040_bb0115","doi-asserted-by":"crossref","first-page":"7632","DOI":"10.4249\/scholarpedia.7632","article-title":"EEG microstates","volume":"4","author":"Lehmann","year":"2009","journal-title":"Scholarpedia"},{"key":"10.1016\/j.jad.2024.09.040_bb0120","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"},{"issue":"12","key":"10.1016\/j.jad.2024.09.040_bb0125","doi-asserted-by":"crossref","first-page":"6822","DOI":"10.3390\/su13126822","article-title":"Treatment effect of exercise intervention for female college students with depression: analysis of electroencephalogram microstates and power spectrum","volume":"13","author":"Liang","year":"2021","journal-title":"Sustainability"},{"key":"10.1016\/j.jad.2024.09.040_bb0130","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.ijpsycho.2023.02.002","article-title":"The EEG microstate representation of discrete emotions","volume":"186","author":"Liu","year":"2023","journal-title":"Int. J. Psychophysiol."},{"issue":"Pt B","key":"10.1016\/j.jad.2024.09.040_bb0135","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"},{"issue":"3","key":"10.1016\/j.jad.2024.09.040_bb0140","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1007\/s13246-021-01038-7","article-title":"Automatic classification of schizophrenia patients using resting-state EEG signals","volume":"44","author":"Najafzadeh","year":"2021","journal-title":"Phys. Eng. Sci. Med."},{"issue":"1","key":"10.1016\/j.jad.2024.09.040_bb0145","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1186\/1756-0381-6-16","article-title":"LVQ-SMOTE - Learning Vector Quantization based Synthetic Minority Over-sampling Technique for biomedical data","volume":"6","author":"Nakamura","year":"2013","journal-title":"BioData Min."},{"issue":"1","key":"10.1016\/j.jad.2024.09.040_bb0150","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1007\/s13246-022-01198-0","article-title":"An effective brain connectivity technique to predict repetitive transcranial magnetic stimulation outcome for major depressive disorder patients using EEG signals","volume":"46","author":"Nobakhsh","year":"2023","journal-title":"Phys. Eng. Sci. Med."},{"issue":"6","key":"10.1016\/j.jad.2024.09.040_bb0155","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1177\/10497323231154210","article-title":"Depression as an embodied experience: identifying the central role of the body in meaning-making and identity processes","volume":"33","author":"Orphanidou","year":"2023","journal-title":"Qual. Health Res."},{"key":"10.1016\/j.jad.2024.09.040_bb0160","doi-asserted-by":"crossref","first-page":"16065","DOI":"10.1038\/nrdp.2016.65","article-title":"Major depressive disorder","volume":"2","author":"Otte","year":"2016","journal-title":"Nat. Rev. Dis. Primers."},{"issue":"7","key":"10.1016\/j.jad.2024.09.040_bb0165","first-page":"658","article-title":"Segmentation of brain electrical activity into microstates: model estimation and validation","volume":"42","author":"Pascual-Marqui","year":"1995","journal-title":"I.E.E.E. Trans. Biomed. Eng."},{"issue":"2","key":"10.1016\/j.jad.2024.09.040_bb0170","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10548-016-0522-2","article-title":"Association between resting-state microstates and ratings on the Amsterdam resting-state questionnaire","volume":"30","author":"Pipinis","year":"2017","journal-title":"Brain Topogr."},{"key":"10.1016\/j.jad.2024.09.040_bb0175","series-title":"Microstate EEGlab toolbox: an introductory guide","author":"Poulsen","year":"2018"},{"issue":"2","key":"10.1016\/j.jad.2024.09.040_bb0180","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.clinph.2020.10.017","article-title":"Individual alpha frequency proximity associated with repetitive transcranial magnetic stimulation outcome: an independent replication study from the ICON-DB consortium","volume":"132","author":"Roelofs","year":"2021","journal-title":"Clin. Neurophysiol."},{"issue":"11","key":"10.1016\/j.jad.2024.09.040_bb0185","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1176\/ajp.2006.163.11.1905","article-title":"Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report","volume":"163","author":"Rush","year":"2006","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.jad.2024.09.040_bb0190","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1109\/TNSRE.2021.3092140","article-title":"Analysis of functional brain network in MDD based on improved empirical mode decomposition with resting state EEG data","volume":"29","author":"Shao","year":"2021","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.jad.2024.09.040_bb0195","first-page":"841","article-title":"Exploring EEG microstates for affective computing: decoding valence and arousal experiences during video watching","volume":"2020","author":"Shen","year":"2020","journal-title":"Annu. Int. Conf. IEEE Eng. Med. Biol. Soc."},{"issue":"11","key":"10.1016\/j.jad.2024.09.040_bb0200","doi-asserted-by":"crossref","first-page":"1216","DOI":"10.3390\/jpm11111216","article-title":"Relationship between spatiotemporal dynamics of the brain at rest and self-reported spontaneous thoughts: an EEG microstate approach","volume":"11","author":"Tarailis","year":"2021","journal-title":"J. Pers. Med."},{"issue":"2","key":"10.1016\/j.jad.2024.09.040_bb0205","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.2024.09.040_bb0215","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.118878","article-title":"Spontaneous thought and microstate activity modulation by social imitation","volume":"249","author":"Tomescu","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.jad.2024.09.040_bb0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.neubiorev.2023.105394","article-title":"Functional dysconnectivity in youth depression: systematic review, meta-analysis, and network-based integration","volume":"153","author":"Tse","year":"2023","journal-title":"Neurosci. Biobehav. Rev."},{"issue":"42","key":"10.1016\/j.jad.2024.09.040_bb0225","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. U. S. A."},{"issue":"4","key":"10.1016\/j.jad.2024.09.040_bb0230","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1016\/j.neuroimage.2005.11.002","article-title":"Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing","volume":"30","author":"Vigneau","year":"2006","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.jad.2024.09.040_bb0235","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1002\/da.22556","article-title":"Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation","volume":"34","author":"Williams","year":"2017","journal-title":"Depress. Anxiety"},{"key":"10.1016\/j.jad.2024.09.040_bb0240","article-title":"Prediction of clinical outcomes with EEG microstate in patients with major depressive disorder","volume":"12","author":"Yan","year":"2021","journal-title":"Front. Psych."},{"issue":"7","key":"10.1016\/j.jad.2024.09.040_bb0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0021881","article-title":"Altered negative unconscious processing in major depressive disorder: an exploratory neuropsychological study","volume":"6","author":"Yang","year":"2011","journal-title":"PloS One"},{"key":"10.1016\/j.jad.2024.09.040_bb0250","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/TNSRE.2020.3043426","article-title":"Brain functional networks based on resting-state EEG data for major depressive disorder analysis and classification","volume":"29","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.jad.2024.09.040_bb0255","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2021.651439","article-title":"Classification of schizophrenia by combination of brain effective and functional connectivity","volume":"15","author":"Zhao","year":"2021","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.jad.2024.09.040_bb0260","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.jad.2016.09.005","article-title":"Functional alterations of fronto-limbic circuit and default mode network systems in first-episode, drug-na\u00efve patients with major depressive disorder: a meta-analysis of resting-state fMRI data","volume":"206","author":"Zhong","year":"2016","journal-title":"J. Affect. Disord."}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032724015179?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032724015179?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T07:39:25Z","timestamp":1729150765000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032724015179"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":51,"alternative-id":["S0165032724015179"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2024.09.040","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Common and differential EEG microstate of major depressive disorder patients with and without response to rTMS treatment","name":"articletitle","label":"Article Title"},{"value":"Journal of Affective Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jad.2024.09.040","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}