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Protocol

Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain: A Protocol for an Observational Prospective Cohort Study

1
Faculty of Health Science, Oslo Metropolitan University, 0890 Oslo, Norway
2
Department for Research and Development in Mental Health, Akershus University Hospital, 1474 Lørenskog, Norway
3
Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
4
Faculty of Health & Environmental Sciences, Health & Rehabilitation Research Institute, AUT University, Auckland 1010, New Zealand
5
Faculty of Medicine, Aalborg University, 9260 Aalborg, Denmark
6
Faculty of Health Sciences, Kristiania University College, 0107 Oslo, Norway
7
Centre for Precision Psychiatry, University of Oslo, 0373 Oslo, Norway
*
Author to whom correspondence should be addressed.
Brain Sci. 2024, 14(7), 641; https://doi.org/10.3390/brainsci14070641
Submission received: 7 May 2024 / Revised: 20 June 2024 / Accepted: 25 June 2024 / Published: 26 June 2024
(This article belongs to the Special Issue Altered Musculoskeletal Sensory Input and Neuromechanics)

Abstract

Despite most episodes of low back pain (LBP) being short-lasting, some transition into persistent long-lasting problems. Hence, the need for a deeper understanding of the physiological mechanisms of this is pertinent. Therefore, the aims of the present study are (1) to map pain-induced changes in brain activity and blood gene expression associated with persistent LBP, and (2) to explore whether these brain and gene expression signatures show promise as predictive biomarkers for the development of persistent LBP. The participants will be allocated into three different pain groups (no pain, mild short-lasting, or moderate long-term). One in-person visit, where two blood samples will be collected and sent for RNA sequencing, along with resting 64-channel electro-encephalography measurements before, during, and after a cold pressor test, will be conducted. Thereafter, follow-up questionnaires will be distributed at 2 weeks, 3 months, and 6 months. Recruitment will start during the second quarter of 2024, with expected completion by the last quarter of 2024. The results are expected to provide insight into the relationship between central nervous system activity, gene expression profiles, and LBP. If successful, this study has the potential to provide physiological indicators that are sensitive to the transition from mild, short-term LBP to more problematic, long-term LBP.
Keywords: low back pain; RNA sequencing; electro-encephalography (EEG) low back pain; RNA sequencing; electro-encephalography (EEG)

Share and Cite

MDPI and ACS Style

Sannes, A.-C.; Ghani, U.; Niazi, I.K.; Moberget, T.; Jonassen, R.; Haavik, H.; Gjerstad, J. Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain: A Protocol for an Observational Prospective Cohort Study. Brain Sci. 2024, 14, 641. https://doi.org/10.3390/brainsci14070641

AMA Style

Sannes A-C, Ghani U, Niazi IK, Moberget T, Jonassen R, Haavik H, Gjerstad J. Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain: A Protocol for an Observational Prospective Cohort Study. Brain Sciences. 2024; 14(7):641. https://doi.org/10.3390/brainsci14070641

Chicago/Turabian Style

Sannes, Ann-Christin, Usman Ghani, Imran Khan Niazi, Torgeir Moberget, Rune Jonassen, Heidi Haavik, and Johannes Gjerstad. 2024. "Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain: A Protocol for an Observational Prospective Cohort Study" Brain Sciences 14, no. 7: 641. https://doi.org/10.3390/brainsci14070641

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