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Original Research

Proton magnetic resonance spectroscopy assessment of metabolite status of the anterior cingulate cortex in chronic pain patients and healthy controls

, , , , , & show all
Pages 287-293 | Published online: 31 Jan 2017
 

Abstract

Background

Chronic pain is a common cause of reduced quality of life. Recent studies suggest that chronic pain patients have a different brain neurometabolic status to healthy people. Proton magnetic resonance spectroscopy (1H-MRS) can determine the concentrations of metabolites in a specific region of the brain without being invasive.

Patients and methods

We recruited 56 chronic pain patients and 60 healthy controls to compare brain metabolic characteristics. The concentrations of glutamic acid (Glu), myo-inositol (Ins), N-acetylaspartate (NAA), Glu + glutamine (Glx), and creatine + phosphocreatine (total creatine [tCr]) in the anterior cingulate cortex of participants were measured using 1H-MRS. We used age- and gender-adjusted general linear models and receiver-operating characteristic analyses for this investigation. Patients were also assessed using the Hospital Anxiety and Depression Scale (HADS) to reveal the existence of any mental health issues.

Results

Our analysis indicates that pain patients have statistically significantly higher levels of Glu/tCr (p=0.039) and Glx/tCr (p<0.001) and lower levels of NAA/tCr than controls, although this did not reach statistical significance (p=0.052). Receiver-operating characteristic analysis performed on the combination of Glx/tCr, Ins/tCr, and NAA/tCr effectively discriminated chronic pain patients from healthy controls. Patients with higher HADS-Depression scores had increased Glx/rCr levels (p=0.015), and those with higher HADS-Anxiety scores had increased NAA/tCr levels (p=0.018).

Conclusion

Chronic pain patients have a different metabolite status in the anterior cingulate cortex to controls. Within the pain patient group, HADS scores had a positive relationship with NAA/tCr and Glx/tCr levels. 1H-MRS successfully detected metabolic changes in patients’ brains in a noninvasive manner, revealing its potential as a superior diagnostic tool for pain patients.

Acknowledgments

We thank Masahiro Yoshimura and Katsunori Miyata, radiological technologists of the Department of Radiology, Shiga University of Medical Science Hospital for the MRI data management. This study was funded by a Grant-in-Aid for Scientific Research (C) from the Japanese Ministry of Health, Labour and Welfare (grant number 23592284).

Disclosure

The authors report no conflicts of interest in this work.