Detection of EEG-Based Biomarkers of Chronic Low Back Pain

Brief summary (from the registry)

Chronic low back pain (CLBP) is a pervasive disorder affecting up to one-fifth of adults globally and is the single greatest cause of disability worldwide. Despite the high prevalence and detrimental impact of CLBP, its treatments and mechanisms remain largely unclear. Biomarkers that predict symptom progression in CLBP support precision-based treatments and ultimately aid in reducing suffering. Longitudinal brain-based resting-state neuroimaging of patients with CLBP has revealed neural networks that predict pain chronification and its symptom progression. Although early findings suggest that measurements of brain networks can lead to the development of prognostic biomarkers, the predictive ability of these models is strongest for short-term follow-up. Measurements of different neural systems may provide additional benefits with better predictive power. Emotional and cognitive dysfunction is common in CLBP, occurring at the behavioral and cerebral level, presenting a unique opportunity to detect prognostic brain-based biomarkers. Likewise, improvements in electroencephalogram (EEG) neuroimaging strategies have led to increased spatial resolution, enabling researchers to overcome the limitations of classically used neuroimaging modalities (e.g., magnetic resonance imaging \[MRI\] and functional MRI), such as high cost and limited accessibility. Using longitudinal EEG, this patient-oriented research project will provide a comprehensive neural picture of emotional, cognitive, and resting-state networks in patients with CLBP, which will aid in predicting symptom progression in CLBP. Through this award, the investigators will use modern EEG source analysis strategies to track biomarkers at baseline and 1- and 2-month follow-ups and their covariance with markers for pain and emotional and cognitive dysfunction. A 5-month follow up will also be used to only assess patient reported outcomes. In Aim 1, the investigators will identify and characterize differences in resting-…

Study details

Official title

Characterization of Longitudinal EEG Biomarkers in Chronic Low Back Pain

Conditions

• Chronic Low-back Pain
• Healthy

Interventions

• Behavioral: Resting State EEG
• Behavioral: Picture Viewing EEG
• Behavioral: Stop Signal EEG

Sponsor

Stanford University

Collaborators

National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)

Start date

2023-12-15

Primary completion

2027-06

Sex

All

Age range

from 18 Years to 80 Years

Healthy volunteers

true

Results posted

No results posted in this snapshot

Countries

United States

Total sites listed

1

Eligibility criteria