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

Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha osci...

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Published inJournal of neural transplantation & plasticity Vol. 2021; pp. 8537437 - 11
Main Authors Feng, Li, Li, Hanlei, Cui, Hongyan, Xie, Xiaobo, Xu, Shengpu, Hu, Yong
Format Journal Article
LanguageEnglish
Published United States Hindawi 2021
John Wiley & Sons, Inc
Hindawi Limited
Wiley
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Summary:Objectively and accurately assessing pain in clinical settings is challenging. Previous studies showed that alpha oscillations of electroencephalogram data are correlated with subjective perceived pain. Based on this finding, this study is aimed at assessing chronic low back pain based on alpha oscillations. Multichannel electroencephalogram data were recorded from 27 subjects with chronic low back pain under the simple conditions of closing eyes or opening eyes. Spectral analyses were conducted to extract the alpha band responses, and the alpha powers were calculated for the two conditions, respectively. Normalized alpha power was calculated by subtracting the alpha power in the eyes-open condition from that in the eyes-closed condition. The correlation between the alpha power and the subjective pain intensity was evaluated in frontal, central, and posterior regions. The normalized alpha power in the central region was negatively correlated with the subjective pain intensity (R=−0.50, P=0.01), with the strongest correlation occurring at the Cz electrode (R=−0.59, P=0.04). The correlation analysis results demonstrated the possibility of using the differences of alpha spectral power between eyes-closed and eyes-open conditions as a measure for assessing chronic low back pain. The findings suggest that the normalized alpha power in the central region may be used as a measurable and quantitative indicator of chronic pain for clinical applications.
Bibliography:ObjectType-Article-1
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Academic Editor: Yazhuo Kong
ISSN:2090-5904
0792-8483
1687-5443
DOI:10.1155/2021/8537437