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In this study, mental status was determined for 81 nurses and 61 controls using the Symptom Checklist 90 (SCL\u201090) scale. A subgroup (<jats:italic>n<\/jats:italic>\u00a0=\u00a057) was further scanned by resting\u2010state functional MRI with two sessions. Based on the SCL\u201090 scale, \u201csomatic complaints\u201d and \u201cdiet\/sleeping\u201d exhibited the most prominent difference between nurses and controls. This mental health change in nurses was further supported by the spatial independent component analysis on functional MRI data. First, dynamic functional connectome analysis identified two discrete connectivity configurations (States I and II). Controls had more time in the State I than II, while the nurses had more time in the State II than I. Second, nurses showed a similar static network topology as controls, but altered dynamic properties. Third, the symptom\u2010imaging correlation analysis suggested the functional alterations in nurses as potential imaging biomarkers indicating a high risk for \u201cdiet\/sleeping\u201d problems. In summary, this study emphasized the high risk of mental deficits in nurses and explored the underlying neural mechanism using dynamic brain connectome, which provided valuable information for future psychological intervention.<\/jats:p>","DOI":"10.1002\/hbm.25617","type":"journal-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T11:16:18Z","timestamp":1627730178000},"page":"5300-5308","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dynamic brain connectome and high risk of mental problem in clinical nurses"],"prefix":"10.1002","volume":"42","author":[{"given":"Ling","family":"Bai","sequence":"first","affiliation":[{"name":"School of Nursing, Anhui Medical University  Hefei China"},{"name":"Department of Pneumology The First Affiliated Hospital of Anhui Traditional Chinese Medicine University  Hefei 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