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Fch120@126.comDuring 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.
Open Access18952170255@163.comFch120@126.comDuring 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.
Pain is a subjective and complex symptom, making its prediction, management, and treatment a significant chal lenge in clinical research. To address these challenges, the search for reliable and objective pain biomarkers has become a focal point in pain studies. Electroencephalography (EEG), a non-invasive clinical tool, has emerged as the most widely used method for assessing brain regions associated with pain due to its temporal resolution, ac curacy, and comprehensive nature. Multichannel EEG is now a primary technique in the study of pain biomarkers. This review discusses the current status and future prospects of EEG biomarkers in pain research, synthesizing evidence on the potential of EEG recordings as reliable biomarkers for pain perception. This will contribute to es tablishing a more solid foundation for the prediction, diagnosis, and intervention of pain in future research and management.
ISSN: 2957-5443
Volume 2, Issue 4
December 2024
Pages: 124-157
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