Electroencephalography Signatures for Conditioned Pain Modulation and Pain Perception in Nonspecific Chronic Low Back Pain—An Exploratory Study

Author:

Teixeira Paulo E P1234ORCID,Pacheco-Barrios Kevin125,Uygur-Kucukseymen Elif12,Machado Roberto Mathias12,Balbuena-Pareja Ana12,Giannoni-Luza Stefano12,Luna-Cuadros Maria Alejandra12,Cardenas-Rojas Alejandra12,Gonzalez-Mego Paola12,Mejia-Pando Piero F12,Wagner Timothy67,Dipietro Laura7,Fregni Felipe127ORCID

Affiliation:

1. Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Charlestown, Massachusetts, USA

2. Harvard Medical School, Boston, Massachusetts, USA

3. MGH Institute of Health Professions, Boston, Massachusetts, USA

4. Instituto Wilson Mello, Campinas, SP, Brazil

5. Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, . Lima, Peru

6. Division of Health Sciences and Technology, Harvard Medical School/Massachusetts Institute of Technology, Boston, Massachusetts, USA

7. Highland Instruments, Inc., Cambridge, Massachusetts, USA

Abstract

Abstract Conditioned pain modulation (CPM) can discriminate between healthy and chronic pain patients. However, its relationship with neurophysiological pain mechanisms is poorly understood. Brain oscillations measured by electroencephalography (EEG) might help gain insight into this complex relationship. Objective To investigate the relationship between CPM response and self-reported pain intensity in non-specific chronic low back pain (NSCLBP) and explore respective EEG signatures associated to these mechanisms. Design Cross-sectional analysis. Participants Thirty NSCLBP patients participated. Methods Self-reported low back pain, questionnaires, mood scales, CPM (static and dynamic quantitative sensory tests), and resting surface EEG data were collected and analyzed. Linear regression models were used for statistical analysis. Results CPM was not significantly correlated with self-reported pain intensity scores. Relative power of EEG in the beta and high beta bands as recorded from the frontal, central, and parietal cortical areas were significantly associated with CPM. EEG relative power at delta and theta bands as recorded from the central area were significantly correlated with self-reported pain intensity scores while controlling for self-reported depression. Conclusions Faster EEG frequencies recorded from pain perception areas may provide a signature of a potential cortical compensation caused by chronic pain states. Slower EEG frequencies may have a critical role in abnormal pain processing.

Funder

National Institute on Aging of the National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Medicine

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