The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery | |
Han, Qi4; Yue, Lupeng1,3; Gao, Fei2; Zhang, Libo1,3; Hu, Li1,3; Feng, Yi4 | |
刊名 | NEURAL PLASTICITY |
2021-04-09 | |
卷号 | 2021页码:12 |
ISSN号 | 2090-5904 |
DOI | 10.1155/2021/5543974 |
通讯作者 | Hu, Li(huli@psych.ac.cn) ; Feng, Yi(doctor_yifeng@sina.com) |
英文摘要 | Even with an improved understanding of pain mechanisms and advances in perioperative pain management, inadequately controlled postoperative pain remains. Predicting acute postoperative pain based on presurgery physiological measures could provide valuable insights into individualized, effective analgesic strategies, thus helping improve the analgesic efficacy. Considering the strong correlation between pain perception and neural oscillations, we hypothesize that acute postoperative pain could be predicted by neural oscillations measured shortly before the surgery. Here, we explored the relationship between neural oscillations 2 hours before the thoracoscopic surgery and the subjective intensity of acute postoperative pain. The spectral power density of resting-state beta and gamma band oscillations at the frontocentral region was significantly different between patients with different levels of acute postoperative pain (i.e., low pain vs. moderate/high pain). A positive correlation was also observed between the spectral power density of resting-state beta and gamma band oscillations and subjective reports of postoperative pain. Then, we predicted the level of acute postoperative pain based on features of neural oscillations using machine learning techniques, which achieved a prediction accuracy of 92.54% and a correlation coefficient between the real pain intensities and the predicted pain intensities of 0.84. Altogether, the prediction of acute postoperative pain based on neural oscillations measured before the surgery is feasible and could meet the clinical needs in the future for better control of postoperative pain and other unwanted negative effects. |
资助项目 | National Key Research and Development Program of China[2018YFC2001905] ; National Natural Science Foundation of China[32071061] ; National Natural Science Foundation of China[31822025] ; National Natural Science Foundation of China[32000749] |
WOS研究方向 | Neurosciences & Neurology |
语种 | 英语 |
出版者 | HINDAWI LTD |
WOS记录号 | WOS:000642613600001 |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/39086] |
专题 | 心理研究所_中国科学院心理健康重点实验室 |
通讯作者 | Hu, Li; Feng, Yi |
作者单位 | 1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 2.Peking Univ Peoples Hosp, Dept Pain Med, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China 4.Peking Univ Peoples Hosp, Dept Anesthesiol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Qi,Yue, Lupeng,Gao, Fei,et al. The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery[J]. NEURAL PLASTICITY,2021,2021:12. |
APA | Han, Qi,Yue, Lupeng,Gao, Fei,Zhang, Libo,Hu, Li,&Feng, Yi.(2021).The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery.NEURAL PLASTICITY,2021,12. |
MLA | Han, Qi,et al."The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery".NEURAL PLASTICITY 2021(2021):12. |
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