Resting-state Electroencephalography Microstates Correlate with Pain Intensity in Patients with Complex Regional Pain Syndrome
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- Michihiro Osumi
- Graduate School of Health Science, Kio University. 4-2-2 Umaminaka, Kitakatsuragigun, Nara, Japan
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- Masahiko Sumitani
- Department of Pain and Palliative Medicine, The University of Tokyo Hospital. 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
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- Katsuyuki Iwatsuki
- Department of Hand Surgery, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, Japan
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- Minoru Hoshiyama
- Department of Health Sciences, Faculty of Medicine, Nagoya University, 1-1-20 Daiko-minami, Higashi-ku, Nagoya, Aichi, Japan
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- Ryota Imai
- School of Rehabilitation, Osaka Kawasaki Rehabilitation University, Kaizuka, Osaka, Japan
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- Shu Morioka
- Graduate School of Health Science, Kio University. 4-2-2 Umaminaka, Kitakatsuragigun, Nara, Japan
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- Hitoshi Hirata
- Department of Hand Surgery, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, Japan
書誌事項
- 公開日
- 2023-10-16
- 資源種別
- journal article
- 権利情報
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- https://journals.sagepub.com/page/policies/text-and-data-mining-license
- DOI
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- 10.1177/15500594231204174
- 公開者
- SAGE Publications
この論文をさがす
説明
<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 = 17). Five microstate topographies were fitted back to individual CRPS patients’ 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>
収録刊行物
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- Clinical EEG and Neuroscience
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Clinical EEG and Neuroscience 55 (1), 121-129, 2023-10-16
SAGE Publications
