{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:39:28Z","timestamp":1775075968600,"version":"3.50.1"},"reference-count":69,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1016\/j.neuroimage.2022.119669","type":"journal-article","created":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T11:29:36Z","timestamp":1664882976000},"page":"119669","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":21,"special_numbering":"C","title":["Event-related microstate dynamics represents working memory performance"],"prefix":"10.1016","volume":"263","author":[{"given":"Ryuta","family":"Tamano","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6822-6378","authenticated-orcid":false,"given":"Takeshi","family":"Ogawa","sequence":"additional","affiliation":[]},{"given":"Arisa","family":"Katagiri","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Tomohisa","family":"Asai","sequence":"additional","affiliation":[]},{"given":"Motoaki","family":"Kawanabe","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2022.119669_bib0001","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s10548-020-00805-1","article-title":"EEG microstates predict concurrent fMRI dynamic functional connectivity states","volume":"34","author":"Abreu","year":"2021","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0002","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.schres.2013.12.008","article-title":"Resting-state connectivity in the prodromal phase of schizophrenia: Insights from EEG microstates","volume":"152","author":"Andreou","year":"2014","journal-title":"Schizophr. Res."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.psychres.2020.112938","article-title":"Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls","volume":"288","author":"Baradits","year":"2020","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0004","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/BF01199778","article-title":"Mapping event-related brain potential microstates to sentence endings","volume":"8","author":"Brandeis","year":"1995","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0005","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"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0006","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1089\/brain.2020.0848","article-title":"Reconfiguration of electroencephalography microstate networks after breath-focused, digital meditation training","volume":"11","author":"Br\u00e9chet","year":"2021","journal-title":"Brain Connect."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0007","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.neuroimage.2022.119669_bib0008","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/813870","article-title":"Spatiotemporal analysis of multichannel EEG: CARTOOL","author":"Brunet","year":"2011","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0009","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.neuroimage.2022.119669_bib0010","article-title":"Spatiotemporal EEG microstate analysis in drug-free patients with Parkinson's disease","volume":"25","author":"Chu","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0011","doi-asserted-by":"crossref","first-page":"173","DOI":"10.3389\/fnhum.2019.00173","article-title":"EEG microstates analysis in young adults with autism spectrum disorder during resting-state","volume":"13","author":"D'Croz-Baron","year":"2019","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0012","doi-asserted-by":"crossref","first-page":"3089","DOI":"10.1038\/s41467-020-16914-1","article-title":"EEG microstates are a candidate endophenotype for schizophrenia","volume":"11","author":"da Cruz","year":"2020","journal-title":"Nat. Commun."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0014","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"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0015","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1007\/s10548-015-0460-4","article-title":"Towards using microstate-neurofeedback for the treatment of psychotic symptoms in schizophrenia. A feasibility study in healthy participants","volume":"29","author":"Diaz Hernandez","year":"2016","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0016","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.clinph.2020.10.006","article-title":"Fundamentally altered global- and microstate EEG characteristics in Huntington's disease","volume":"132","author":"Faber","year":"2021","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0017","article-title":"Electroencephalographic microstates as novel functional biomarkers for adult attention-deficit\/hyperactivity disorder","author":"F\u00e9rat","year":"2021","journal-title":"Biol. Psychiatry Cogn. Neurosci. Neuroimaging"},{"issue":"29","key":"10.1016\/j.neuroimage.2022.119669_bib0100","first-page":"11","article-title":"P300 Amplitude Is Insensitive to Working Memory Load in Schizophrenia","volume":"11","author":"Gaspar","year":"2011","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0018","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/0013-4694(93)90119-G","article-title":"Spatiotemporal dynamics of component processes in human working memory","volume":"87","author":"Gevins","year":"1993","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0019","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.nicl.2018.08.031","article-title":"Neurophysiological correlates of avolition-apathy in schizophrenia: a resting-EEG microstates study","volume":"20","author":"Giordano","year":"2018","journal-title":"NeuroImage Clin"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0020","doi-asserted-by":"crossref","first-page":"2175","DOI":"10.1016\/j.clinph.2016.01.025","article-title":"Discovering EEG resting state alterations of semantic dementia","volume":"127","author":"Grieder","year":"2016","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0022","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","article-title":"Fast and robust fixed-point algorithms for independent component analysis","volume":"10","author":"Hyv\u00e4rinen","year":"1999","journal-title":"IEEE Trans. Neural Netw."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0023","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.mbs.2010.12.003","article-title":"Neocortical dynamics at multiple scales: EEG standing waves, statistical mechanics, and physical analogs","volume":"229","author":"Ingber","year":"2011","journal-title":"Math. Biosci."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0024","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1007\/s10548-021-00835-3","article-title":"Resting-state EEG microstates parallel age-related differences in allocentric spatial working memory performance","volume":"34","author":"Jab\u00e8s","year":"2021","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0025","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1001\/archpsyc.1995.03950190032005","article-title":"Impaired mismatch negativity generation reflects widespread dysfunction of working memory in schizophrenia","volume":"52","author":"Javitt","year":"1995","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0026","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s10548-018-0685-0","article-title":"Aberrant intrinsic brain activity in patients with autism spectrum disorder: Insights from EEG microstates","volume":"32","author":"Jia","year":"2019","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0027","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s10548-020-00803-3","article-title":"Microstate ERP analyses to pinpoint the articulatory onset in speech production","volume":"34","author":"Jouen","year":"2021","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0028","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.neuroimage.2022.119669_bib0029","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.neuroimage.2022.119669_bib0031","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1038\/s41598-020-79423-7","article-title":"EEG microstate features according to performance on a mental arithmetic task","volume":"11","author":"Kim","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0032","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1016\/j.clinph.2010.10.042","article-title":"Resting-state EEG in schizophrenia: Auditory verbal hallucinations are related to shortening of specific microstates","volume":"122","author":"Kindler","year":"2011","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0033","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."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0034","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1007\/s10548-013-0310-1","article-title":"A tutorial on data-driven methods for statistically assessing ERP topographies","volume":"27","author":"Koenig","year":"2014","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0035","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1017\/S0048577201990559","article-title":"On the utility of P3 amplitude as a measure of processing capacity","volume":"38","author":"Kok","year":"2001","journal-title":"Psychophysiology"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0036","doi-asserted-by":"crossref","DOI":"10.3390\/s18092920","article-title":"The dynamic EEG microstates in mental rotation","volume":"18","author":"Kong","year":"2018","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117393","article-title":"Evidence for modulation of EEG microstate sequence by vigilance level","volume":"224","author":"Krylova","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0038","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1037\/0021-843X.114.4.599","article-title":"Working memory impairments in schizophrenia: A meta-analysis","volume":"114","author":"Lee","year":"2005","journal-title":"J. Abnorm. Psychol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0039","series-title":"Machinery of the Mind: Data, Theory, and Speculations About Higher Brain Function","first-page":"209","article-title":"Brain electric microstates and cognition: The atoms of thought","author":"Lehmann","year":"1990"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0040","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.pscychresns.2004.05.007","article-title":"EEG microstate duration and syntax in acute, medication-na\u00efve, first-episode schizophrenia: A multi-center study","volume":"138","author":"Lehmann","year":"2005","journal-title":"Psychiatry Res."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0042","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1177\/1073858405280524","article-title":"The p300: Where in the brain is it produced and what does it tell us?","volume":"11","author":"Linden","year":"2005","journal-title":"Neuroscientist"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0101","article-title":"Event-Related Potentials Altered in Patients with Borderline Personality Disorder during Working Memory Tasks","author":"Liu","year":"2017","journal-title":"Frontiers in Behavioral Neuroscience"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0044","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.neuroimage.2022.119669_bib0045","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.neuroimage.2015.08.023","article-title":"The functional significance of EEG microstates\u2013Associations with modalities of thinking","volume":"125","author":"Milz","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0047","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s00702-004-0194-z","article-title":"Subsecond changes of global brain state in illusory multistable motion perception","volume":"112","author":"M\u00fcller","year":"2005","journal-title":"J. Neural Transm. (Vienna)"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0048","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.neuroimage.2022.119669_bib0049","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."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0050","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1016\/j.clinph.2013.01.005","article-title":"EEG microstates associated with salience and frontoparietal networks in frontotemporal dementia, schizophrenia and Alzheimer's disease","volume":"124","author":"Nishida","year":"2013","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102488","article-title":"Emotional working memory training reduces rumination and alters the EEG microstate in anxious individuals","volume":"28","author":"Pan","year":"2020","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0052","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1007\/s11571-020-09643-0","article-title":"Study of EEG microstates in Parkinson's disease: a potential biomarker?","volume":"15","author":"Pal","year":"2021","journal-title":"Cogn. Neurodyn."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0053","doi-asserted-by":"crossref","unstructured":"Poulsen, A.T., Pedroni, A., Langer, N., Hansen, L.K., 2018. Microstate EEGLAB toolbox: An introductory guide. bioRxiv. doi:10.1101\/289850.","DOI":"10.1101\/289850"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0055","doi-asserted-by":"crossref","first-page":"e63701","DOI":"10.1371\/journal.pone.0063701","article-title":"The relationship between P3 amplitude and working memory performance differs in young and older adults","volume":"8","author":"Saliasi","year":"2013","journal-title":"PLOS One"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0056","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1007\/s10548-017-0565-z","article-title":"EEG microstate correlates of fluid intelligence and response to cognitive training","volume":"30","author":"Santarnecchi","year":"2017","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0057","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1162\/089976601750265045","article-title":"On-line model selection based on the variational Bayes","volume":"13","author":"Sato","year":"2001","journal-title":"Neural Computation"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0058","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/s10548-011-0189-7","article-title":"EEG microstates during resting represent personality differences","volume":"25","author":"Schlegel","year":"2012","journal-title":"Brain Topogr."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0059","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1093\/brain\/awz069","article-title":"Dysfunctional brain dynamics and their origin in Lewy body dementia","volume":"142","author":"Schumacher","year":"2019","journal-title":"Brain"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0061","doi-asserted-by":"crossref","first-page":"714","DOI":"10.3389\/fnins.2018.00714","article-title":"EEG microstates change in response to increase in dopaminergic stimulation in typical parkinson's disease patients","volume":"12","author":"Serrano","year":"2018","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0062","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.neuroimage.2022.119669_bib0063","article-title":"EEG time signature in Alzheimer\u00b4s disease: Functional brain networks falling apart","volume":"24","author":"Smailovic","year":"2019","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0064","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.schres.2018.06.020","article-title":"Hyperactivation of left inferior parietal lobule and left temporal gyri shortens resting EEG microstate in schizophrenia","volume":"201","author":"Soni","year":"2018","journal-title":"Schizophr. Res."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0065","doi-asserted-by":"crossref","first-page":"182","DOI":"10.3389\/fnhum.2020.00182","article-title":"Pre-stimulus EEG microstates correlate with anticipatory alpha desynchronization","volume":"14","author":"Spadone","year":"2020","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0066","doi-asserted-by":"crossref","first-page":"2043","DOI":"10.1016\/S1388-2457(03)00211-6","article-title":"Chronic schizophrenics with positive symptomatology have shortened EEG microstate durations","volume":"114","author":"Strelets","year":"2003","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0067","doi-asserted-by":"crossref","first-page":"17627","DOI":"10.1038\/s41598-020-74790-7","article-title":"EEG microstate complexity for aiding early diagnosis of Alzheimer's disease","volume":"10","author":"Tait","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0068","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119006","article-title":"MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses","volume":"251","author":"Tait","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0069","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119346","article-title":"+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG\/MEG","volume":"258","author":"Tait","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0070","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.schres.2014.05.036","article-title":"Deviant dynamics of EEG resting state pattern in 22q11.2 deletion syndrome adolescents: A vulnerability marker of schizophrenia?","volume":"157","author":"Tomescu","year":"2014","journal-title":"Schizophr. Res."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0072","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1038\/nature04171","article-title":"Neural measures reveal individual differences in controlling access to working memory","volume":"438","author":"Vogel","year":"2005","journal-title":"Nature"},{"issue":"6","key":"10.1016\/j.neuroimage.2022.119669_bib0102","doi-asserted-by":"crossref","first-page":"1216","DOI":"10.3758\/s13415-020-00828-y","article-title":"Mindfulness Meditation Alters Neural Activity Underpinning Working Memory during Tactile Distraction","volume":"20","author":"Wang","year":"2020","journal-title":"Cognitive, Affective & Behavioral Neuroscience"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0073","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1016\/j.neuroimage.2008.05.050","article-title":"Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns","volume":"42","author":"Yamashita","year":"2008","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2022.119669_bib0074","doi-asserted-by":"crossref","first-page":"3228","DOI":"10.1002\/hbm.25430","article-title":"Meditation training modulates brain electric microstates and felt states of awareness. Hum","volume":"42","author":"Zanesco","year":"2021","journal-title":"Brain Mapp."},{"key":"10.1016\/j.neuroimage.2022.119669_bib0077","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.117861","article-title":"Reliability of EEG microstate analysis at different electrode densities during propofol-induced transitions of brain states","volume":"231","author":"Zhang","year":"2021","journal-title":"Neuroimage"}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381192200790X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S105381192200790X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T11:23:13Z","timestamp":1760959393000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S105381192200790X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":69,"alternative-id":["S105381192200790X"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119669","relation":{},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Event-related microstate dynamics represents working memory performance","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119669","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"119669"}}