Open AccessDynamic brain connectome and high risk of mental problem in clinical nurses
Author(s) -
Bai Ling,
JI GongJun,
Song Yongxia,
Sun Jinmei,
Wei Junjie,
Xue Fang,
Zhu Lu,
Li Rui,
Han Yanfang,
Zhang Liu,
Yang Jinying,
Qiu Bensheng,
Wu GuoRong,
Zhang Jing,
Hong Jingfang,
Wang Kai,
Zhu Chunyan
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25617
Subject(s) - connectome , psychology , checklist , population , mental health , resting state fmri , medicine , clinical psychology , neuroscience , psychiatry , functional connectivity , cognitive psychology , environmental health
With the growing population and rapid change in the social environment, nurses in China are suffering from high rates of stress; however, the neural mechanism underlying this occupation related stress is largely unknown. In this study, mental status was determined for 81 nurses and 61 controls using the Symptom Checklist 90 (SCL‐90) scale. A subgroup ( n = 57) was further scanned by resting‐state functional MRI with two sessions. Based on the SCL‐90 scale, “somatic complaints” and “diet/sleeping” 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‐imaging correlation analysis suggested the functional alterations in nurses as potential imaging biomarkers indicating a high risk for “diet/sleeping” 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.