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December 26, 2024Perioperative Precision MedicineOpen Access

Pain biomarkers based on electroencephalogram: Current status and prospect

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Why the study?

Pain is a subjective and complex symptom, making its prediction, management, and treatment a significant clinical challenge that demands reliable and objective biomarkers.

Does electroencephalography (EEG) provide reliable biomarkers for pain perception and prediction?

Design

Review

Key result

Electroencephalography (EEG) serves as a reliable biomarker for pain assessment, with pain intensity negatively correlated with alpha wave activity and positively correlated with gamma wave activity.

Authors

HWHui WuKWKai WangMZMeiyan Zhou

Discussion

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Member takes

Overview

May aid objective perioperative pain monitoring; leaves open validation of standardized EEG protocols before clinical adoption.

Structured PICO

Does electroencephalography (EEG) provide reliable biomarkers for pain perception and prediction?

P
Population
Patients experiencing pain (acute, chronic, postoperative) and healthy subjects
E
Exposure
Electroencephalography (EEG) for pain assessment
O
Outcome
Pain perception, prediction, and intensity assessmentsurrogate

EEG-derived biomarkers, particularly alpha and gamma band oscillations, show promise as objective tools for predicting and assessing pain intensity in clinical settings.

Limitations

  • EEG data collection is subject to noise and artifacts due to external environmental interference.
  • EEG-derived indices are mostly measured under general anesthesia and are not applicable in awake states.
  • Gamma waves are susceptible to external environmental interference and may be mistakenly removed as noise artifacts.
  • EEG has a relatively lower signal-to-noise ratio compared to MEG or fMRI, necessitating complex data analysis and large sample sizes.
  • EEG has a relatively lower signal-to-noise ratio requiring complex data analysis and large sample sizes
  • Susceptibility to external environmental interference and artifacts
  • Correlation between certain oscillatory activities and pain remains controversial

Cite This Study

Wu et al. (2024) conducted a review in Pain. Electroencephalography (EEG) was evaluated. Electroencephalography (EEG) serves as a reliable biomarker for pain assessment, with pain intensity negatively correlated with alpha wave activity and positively correlated with gamma wave activity.

synapsesocial.com/papers/6a9a0d71f54c4ef3ea1d7d55https://doi.org/10.61189/109077nkhkny
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