Pain biomarkers based on electroencephalogram: Current status and prospect
Journal Title: Perioperative Precision Medicine - Year 2024, Vol 2, Issue 4
Abstract
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.
Authors and Affiliations
Hui Wu, Kai Wang, Meiyan Zhou, Guangkuo Ma, Ziwei Xia, Liwei Wang, Conghai Fan
Keywords
Related Articles
- EP ID EP754640
- DOI 10.61189/109077nkhkny
- Views 2
- Downloads 0
Roles of post-translational modifications of C-type lectin receptor-induced signaling cascades in innate immune responses against Candida albicans
Candida albicans (C. albicans), a conditional pathogenic fungus, is widespread in nature and can live in symbiosis with organisms in small quantities. When the normal microflora is imbalanced, the epithelial barrier is d...
Changes in brain functional connectivity of patients with postoperative delirium
Postoperative delirium (POD) is an acute cognitive disorder marked by attention deficits, fluctuating symptoms, and significant cognitive impairment. These features are closely associated with adverse outcomes, including...
Medical image processing using graph convolutional networks: A review
Deep learning, especially graph convolutional networks (GCNs), has been widely applied in various scenarios. Particularly in the field of medical image processing, the research on GCNs have continued to make breakthrough...
Impact of central venous pressure measurement on the prognosis of patients with septic shock: A retrospective analysis of the MIMIC- IV database
Objective: To assess the impact of measuring central venous pressure (CVP) on the prognosis of patients with septic shock. Methods: Septic shock patients with and without CVP measurements were identified in the Medical I...
Research progress of oxidative stress in sepsis-associated liver injury
Sepsis is a systemic inflammatory response that caused by infection or trauma, often resulting in multiple organ dysfunction. Its mortality rate is relatively high, ranging between 54% and 68%, and ineffective treatment...