Electroencephalographic power ratio and peak frequency difference associate with central sensitization in chronic pain

<i>Objective.</i>Central sensitization, or increased responsiveness of the central nervous system to sensory input, is present in many chronic pain patients. Clinically, it is detected through subjective, patient-reported measures. There is a need for reliable, direct measurements of neural response to controlled stimuli to quantify neuronal dysfunction in pain. The goal of this work is to investigate cortical activity, recorded via electroencephalogram (EEG), during objective and calibrated painful stimulation in chronic pain patients.<i>Approach.</i>Chronic pain patients (<i>N</i>= 8) and healthy controls (<i>N</i>= 8) participated in this study. We recorded electroencephalography (EEG) at rest (baseline) and during evoked pain tasks, including thermal and mechanical stimuli. The evoked pain was applied following the quantitative sensory testing (QST) protocol, which is a research technique that applies objective, calibrated painful stimuli.<i>Main results.</i>Peak alpha frequency at rest was significantly lower in chronic pain patients compared to healthy controls (<i>p</i>< 0.0002), while EEG alpha/theta and alpha/beta power ratios at rest were higher in patients (<i>p</i>< 0.0002). During thermal QST, these power ratios decreased in patients and increased in controls (<i>p</i>< 0.0002 for both). During mechanical QST, power ratios decreased or did not change. Furthermore, the peak theta-beta frequency difference at baseline was significantly lower in patients compared to controls (<i>p</i>< 0.0002). During thermal QST, this difference increased in patients and decreased in controls; during mechanical QST, this difference increased in both patients and controls (<i>p</i>< 0.0002). Functional connectivity analysis showed that controls had greater baseline theta connectivity strength that increased during mechanical QST (<i>p</i>< 0.0002).<i>Significance.</i>This work demonstrates differential patterns of EEG activity at rest and during acute painful stimulation in chronic pain patients compared to healthy controls. These measures may quantify an individual's tendency to experience chronic pain and central sensitization and serve as diagnostic biomarkers.

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Publication Details

Journal
Journal of Neural Engineering
Published
2024-12-01
DOI
https://doi.org/10.1088/1741-2552/ad995d
Citations
1
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.33
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article

Electroencephalographic power ratio and peak frequency difference associate with central sensitization in chronic pain

Keqin Ding, L ALVAREZ LOVELL, Tina L Doshi, Toren Arginteanu et al.
1 citations
Journal of Neural Engineering
Pain Mechanisms and Treatments
0.33
article

Electroencephalographic power ratio and peak frequency difference associate with central sensitization in chronic pain

Keqin Ding, L ALVAREZ LOVELL, Tina L Doshi, Toren Arginteanu, Mirinda Anderson White, Nitish V. Thakor
article en
1 citations

Abstract

<i>Objective.</i>Central sensitization, or increased responsiveness of the central nervous system to sensory input, is present in many chronic pain patients. Clinically, it is detected through subjective, patient-reported measures. There is a need for reliable, direct measurements of neural response to controlled stimuli to quantify neuronal dysfunction in pain. The goal of this work is to investigate cortical activity, recorded via electroencephalogram (EEG), during objective and calibrated painful stimulation in chronic pain patients.<i>Approach.</i>Chronic pain patients (<i>N</i>= 8) and healthy controls (<i>N</i>= 8) participated in this study. We recorded electroencephalography (EEG) at rest (baseline) and during evoked pain tasks, including thermal and mechanical stimuli. The evoked pain was applied following the quantitative sensory testing (QST) protocol, which is a research technique that applies objective, calibrated painful stimuli.<i>Main results.</i>Peak alpha frequency at rest was significantly lower in chronic pain patients compared to healthy controls (<i>p</i>< 0.0002), while EEG alpha/theta and alpha/beta power ratios at rest were higher in patients (<i>p</i>< 0.0002). During thermal QST, these power ratios decreased in patients and increased in controls (<i>p</i>< 0.0002 for both). During mechanical QST, power ratios decreased or did not change. Furthermore, the peak theta-beta frequency difference at baseline was significantly lower in patients compared to controls (<i>p</i>< 0.0002). During thermal QST, this difference increased in patients and decreased in controls; during mechanical QST, this difference increased in both patients and controls (<i>p</i>< 0.0002). Functional connectivity analysis showed that controls had greater baseline theta connectivity strength that increased during mechanical QST (<i>p</i>< 0.0002).<i>Significance.</i>This work demonstrates differential patterns of EEG activity at rest and during acute painful stimulation in chronic pain patients compared to healthy controls. These measures may quantify an individual's tendency to experience chronic pain and central sensitization and serve as diagnostic biomarkers.

Journal of Neural EngineeringVol. 21(6)
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Openalex Percentile: Top 35%
Pain Mechanisms and Treatments
0.33
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