The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery

doi:10.1155/2021/5543974

	The Prediction of Acute Postoperative Pain Based on Neural Oscillations Measured before the Surgery
	Han, Qi 1; Yue, Lupeng 2,3; Gao, Fei 4; Zhang, Libo 2,3; Hu, Li2,3 ; Feng, Yi1
通讯作者	Hu, Li([email protected]) ; Feng, Yi([email protected])
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.
	2021-04-09
语种	英语
DOI	10.1155/2021/5543974
发表期刊	NEURAL PLASTICITY
ISSN	2090-5904
卷号	2021 页码:12
收录类别	SCI
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]
出版者	HINDAWI LTD
WOS研究方向	Neurosciences & Neurology
WOS类目	Neurosciences
WOS记录号	WOS:000642613600001
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/39087
专题	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.Peking Univ Peoples Hosp, Dept Anesthesiol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 4.Peking Univ Peoples Hosp, Dept Pain Med, Beijing, Peoples R China
通讯作者单位	中国科学院心理健康重点实验室
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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