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Related Experiment Video

Updated: Jun 22, 2025

Electrophysiological Measurement of Noxious-evoked Brain Activity in Neonates Using a Flat-tip Probe Coupled to Electroencephalography
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An Innovative EEG-Based Pain Identification and Quantification: A Pilot Study.

Colince Meli Segning1,2, Rubens A da Silva2,3, Suzy Ngomo2

  • 1Department of Applied Sciences, UQAC (Université du Québec à Chicoutimi), Chicoutimi, QC G7H 2B1, Canada.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

A new electroencephalographic (EEG) measure, Piqβ, objectively identifies and quantifies chronic pain. Higher Piqβ values correlate with increased pain intensity, aiding pain management.

Keywords:
EEG signalbeta EEG frequency bandelectrodes on contralateral motor regionspain identification and quantification indicator (Piq)quantification of pain

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Pain Research

Background:

  • Chronic pain affects millions globally, necessitating objective assessment tools.
  • Current pain assessment relies heavily on subjective patient reporting.
  • Developing objective, neurophysiological measures for pain is a critical research area.

Purpose of the Study:

  • To introduce a novel, scale-independent electroencephalographic (EEG) measure for identifying and quantifying chronic pain.
  • To validate the proposed EEG-based indicator in diverse participant groups, including those with chronic pain.

Main Methods:

  • Collected EEG data from healthy participants (with and without induced pain) and chronic pain patients.
  • Utilized Hilbert transform to extract the upper envelope of the EEG signal.
  • Calculated the average coefficient of variation of the upper envelope in the beta band (Piqβ) as the pain indicator.

Main Results:

  • Established a Piqβ threshold of 10% to indicate the presence of pain (Piqβ ≥ 10%).
  • Demonstrated a direct correlation between higher Piqβ values and increased pain intensity.
  • Successfully identified and quantified pain in individuals with chronic pain using the Piqβ measure.

Conclusions:

  • Piqβ serves as an objective EEG-based indicator for identifying and quantifying pain in chronic pain populations.
  • This neurophysiological measure offers a valuable tool for objective pain assessment, supporting clinical decision-making and pain management.
  • The development of Piqβ contributes to advancing objective pain monitoring and treatment strategies.