Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG)

Area of Science:

• Neuroscience
• Biomedical Engineering
• Pain Research

Background:

• Accurate pain assessment in clinical settings remains a significant challenge.
• Previous research indicates a correlation between electroencephalogram (EEG) alpha oscillations and perceived pain intensity.

Purpose of the Study:

• To investigate the potential of using EEG alpha oscillations to objectively assess chronic low back pain.
• To determine if normalized alpha power correlates with subjective pain intensity in individuals with chronic low back pain.

Main Methods:

• Recorded multichannel EEG data from 27 individuals with chronic low back pain under eyes-closed and eyes-open conditions.
• Performed spectral analysis to extract alpha band power, calculating normalized alpha power (eyes-closed minus eyes-open).
• Correlated normalized alpha power in frontal, central, and posterior regions with self-reported pain intensity.

Main Results:

• A significant negative correlation was found between normalized alpha power in the central region and subjective pain intensity (R = -0.50, P = 0.01).
• The strongest correlation was observed at the Cz electrode in the central region (R = -0.59, P = 0.04).

Conclusions:

• The difference in alpha spectral power between eyes-closed and eyes-open conditions shows promise as a measure for assessing chronic low back pain.
• Normalized alpha power in the central region could serve as a quantifiable, objective indicator for chronic pain in clinical applications.