{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:58:03Z","timestamp":1777571883186,"version":"3.51.4"},"reference-count":50,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T00:00:00Z","timestamp":1697414400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100009619","name":"Japan Agency for Medical Research and Development","doi-asserted-by":"crossref","award":["17ek0610009h0003"],"award-info":[{"award-number":["17ek0610009h0003"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin EEG Neurosci"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p>Objective: Severe pain and other symptoms in complex regional pain syndrome (CRPS), such as allodynia and hyperalgesia, are associated with abnormal resting-state brain network activity. No studies to date have examined resting-state brain networks in CRPS patients using electroencephalography (EEG), which can clarify the temporal dynamics of brain networks. Methods: We conducted microstate analysis using resting-state EEG signals to prospectively reveal direct correlations with pain intensity in CRPS patients (n\u2009=\u200917). Five microstate topographies were fitted back to individual CRPS patients\u2019 EEG data, and temporal microstate measures were subsequently calculated. Results: Our results revealed five distinct microstates, termed microstates A to E, from resting EEG data in patients with CRPS. Microstates C, D and E were significantly correlated with pain intensity before pain treatment. Particularly, microstates D and E were significantly improved together with pain alleviation after pain treatment. As microstates D and E in the present study have previously been related to attentional networks and the default mode network, improvement in these networks might be related to pain relief in CRPS patients. Conclusions: The functional alterations of these brain networks affected the pain intensity of CRPS patients. Therefore, EEG microstate analyses may be used to identify surrogate markers for pain intensity.<\/jats:p>","DOI":"10.1177\/15500594231204174","type":"journal-article","created":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T18:59:37Z","timestamp":1697482777000},"page":"121-129","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Resting-state Electroencephalography Microstates Correlate with Pain Intensity in Patients with Complex Regional Pain Syndrome"],"prefix":"10.1177","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4776-6463","authenticated-orcid":false,"given":"Michihiro","family":"Osumi","sequence":"first","affiliation":[{"name":"Graduate School of Health Science, Kio University. 4-2-2 Umaminaka, Kitakatsuragigun, Nara, Japan"},{"name":"Neurorehabilitation Research Center, Kio University. 4-2-2 Umaminaka, Kitakatsuragigun, Nara, 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