Ke Xu^1,2, Yu Xiang^1,2, Shangping Fang^1,2 

¹School of Anesthesiology, ²Anesthesia Laboratory and Training Center, Wannan Medical College, Wuhu 241002, Anhui, China. 

Address correspondence to: Shangping Fang, Anesthesia Laboratory and Training Center, School of Anesthesiology, Wannan Medical College, No. 22 Wenchang West Road, Lugang Street, Yijiang Dis trict, Wuhu 241002, Anhui Province, China. Tel: 0553-3932220. E-mail: 20180041@wnmc.edc.cn.

Acknowledgement: This work was supported by the Anhui Province College Student Innovation and Entrepreneur ship Project (S202310368027). 

DOI: https://doi.org/10.61189/368731zhrnsv

Received May 23, 2024; Accepted August 6, 2024; Published December 31, 2024

Highlights 

 ● This review describes the main components of Angelica sinensis and their efficacy. 

 ● Current status and basic mechanisms of the classical inflammatory signal pathways in lipopolysaccharide-induced acute lung injury (ALI) are discussed. 

 ● Angelica sinensis contributes to the anti-inflammation in lipopolysaccharide-induced ALI and is expected to expand the application of traditional Chinese medicine in the treatment of ALI. 

Zhaoyang Yan^1*, Chunhui Qin^2*, Shuya Wang^1*, Zhaohui Xie³, Liyun Kong⁴, Lili Zhong⁵, Hong Wang⁵, Yun Cai⁶, Guohua Jiao⁷, Zhenwei Wang⁸, Qiwen Zhu^9*, Ruoyu Tang^10* 

¹Shanghai Reacool Medical Technology Co., Ltd., Shanghai 200041, China. ²Department of Anesthesiology, Yuey ang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China. ³Department of Pain Management, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China. ⁴Department of Pain Management, The First Affiliated Hospital of Gan nan Medical University, Ganzhou 341000, Jiangxi Province, China. ⁵Department of Anesthesiology and Pain Man agement, Wuhu Fifth People’s Hospital (Anhui Province Wannan Rehabilitation Hospital), Wuhu 241004, Anhui Province, China. ⁶School of Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210046, Jiangsu Province, China. ⁷Department of Pain Management, Tongxiang Hospital of Traditional Chinese Medicine, Tongxiang 314500, Zhejiang Province, China. ⁸Department of Respiratory Medicine, Yueyang Hospital of Integrat ed Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China. ⁹Department of Engineering and Computer Science, Syracuse University, New York State/Syra cuse 13210, the United States of America. ¹⁰Department of Psychology, University of British Columbia (UBC), Van couver V6T 1Z4, British Columbia, Canada. 

 *The authors contribute equally.

Address correspondence to: Lili Zhong, Department of Anesthesiology and Pain Management, No. 2, Zhe-Shan East Road, Jinghu District, Wuhu 241004, Anhui Province, China. Tel: +86-180-0963-7377. E-mail: williyia@wnmc.edu.cn. Zhenwei Wang, Department of Respiratory Medicine, No. 110, Ganhe Road, Hongkou District, Shanghai 200437, China. Tel: +86-189-1875-7762. E-mail: wangzhenwei@ shyueyanghospital.com.

Acknowledgement: This project was supported by the research on the application of digital therapy in the treat ment of neuropathic pain caused by herpes zoster (2023yf004) and the Gansu Province Intelligent Pain Diagnosis and Treatment Industry Technology Center. The authors would like to thank all the guest editors and anonymous reviewers for their constructive advice.

DOI: https://doi.org/10.61189/285507yclyaz

Received June 21, 2024; Accepted September 3, 2024; Published December 31, 2024 

Highlights 

 ● Analysis of collected data reveals that digital therapy offer new treatment methods and options in the field of pain management. After conducting research and analysis, it has been found that digital therapeutics offer new treatment methods and options, especially in the area of perioperative pain management. 

 ● Multiple clinical studies indicate that digital therapy has significant effects in the treatment and relief of pain caused by various conditions. 

 ● Domestic and international policies have positively influenced the development and progress of digital therapy. 

 ● Ethical considerations require continuous evaluation, decision-making, and regulation, warranting ongoing reflection. 

 ● Digital therapeutics, as an emerging intervention for pain, are propelling perioperative pain treatment towards a diversified and personalized comprehensive diagnostic and treatment model.

Hui Wu^1,2,*, Kai Wang^1,2,*, Meiyan Zhou², Guangkuo Ma^1,2, Ziwei Xia^1,2, Liwei Wang^1,2, Conghai Fan^1,2 

¹Graduate School, Xuzhou Medical University, Xuzhou 221004, Jiangsu Province, China. ²Department of Anesthe siology, Xuzhou Central Hospital, Xuzhou 221009, Jiangsu Province, China. 

 *The authors contribute equally.

Address correspondence to: Conghai Fan, Graduate School, Xuzhou Medical University, Jiangsu, China. No.209 Tongshan Road, Yunlong District, Xuzhou 221004, Jiangsu Province, China. Tel: +86 13013983238. E-mail: Fch120@126.com. Liwei Wang, Department of Anesthesiology, Xuzhou Central Hospital, No. 199 Jiefang South Road, Quanshan District, Xuzhou 221009, Jiangsu Province, China. Tel: +86-18952170255. E-mail: 18952170255@163.com.

Acknowledgement: This work was supported by Young Scientist Fund of National Natural Science Foundation of China (81700078) and Xuzhou Medical Key Talents program (XWRCHT20220051).

DOI: https://doi.org/10.61189/109077nkhkny

Received June 25, 2024; Accepted September 27, 2024; Published December 31, 2024 

Highlights 

● During the perioperative period, electroencephalography (EEG) has significant advantages as a tool for pain assessment. The applications of indicators such as the pain threshold index (PTI) and γ wave activity in preoperative, intraoperative, and postoperative pain assessment have been validated, contributing to the optimization of   perioperative analgesic strategies. 

● CEEG showed that pain intensity was negatively correlated with α wave activity and positively correlated with γ wave activity. 

● Analysis of the characteristics of EEG in pain state is helpful for the diagnosis and treatment of pain, and to prevent the transformation of chronic pain. 

● Comparing different EEG pain biomarkers can enhance the understanding of brain activity in pain state and improve the accuracy of data.

Tuo Deng¹, Changkuan Tan¹, Guangkuo Ma¹, Meiyan Zhou², Liwei Wang^1,2 

¹Department of Anesthesia, Xuzhou Medical University, Xuzhou 221000, Jiangsu Province, China. ²Department of Anesthesiology, Xuzhou Central Hospital, Xuzhou 221000, Jiangsu Province, China.

Address correspondence to: Liwei Wang, Department of Anesthesia, Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou 221000, Jiangsu Province, China. Tel: +86 18952170255. E-mail: 18952170255@163.com.

DOI: https://doi.org/10.61189/052994nhuqqb

Received July 25, 2024; Accepted October 16, 2024; Published December 31, 2024 

Highlights 

● Electroencephalography (EEG) and Functional Magnetic Resonance Imaging (fMRI) are compared for studying brain connectivity in POD. EEG provides high temporal resolution, while fMRI offers detailed spatial mapping. Combining these techniques can deliver a comprehensive view of brain function in POD. 

●The article highlights the role of the Default Mode Network (DMN) and posterior cingulate cortex in the cognitive deficits seen in POD, noting that weakened connectivity in these areas is a key contributing factor. 

●Graph theory is applied to study brain networks in POD, offering insights through metrics such as small-world structure and node degree, enhancing the understanding of POD-related connectivity changes. 

●This article explores how perioperative factors (such as anesthesia, inflammation, and physiological stress) affect brain functional connectivity and their association with postoperative delirium (POD), offering important new perspectives. And this article deeply analyzes the differences in brain functional connectivity patterns caused by different surgical types and their potential association with the development of POD. 

●The article advocates for combining EEG and fMRI to enable dynamic studies of brain connectivity and recommends larger, diverse samples to validate findings across various surgical types.