Dysfunctional locus coeruleus-cerebellum-cortex pathways in chronic low back pain: A resting-state functional magnetic resonance imaging and machine learning study.

PURPOSE: Chronic low back pain (cLBP) is often accompanied by emotional disorders. The locus coeruleus (LC) plays an important role in the establishment and perpetuation of chronic pain and is involved in modulating the emotional aspects of pain. However, the specific regulatory mechanisms of LC are poorly characterized in cLBP.

METHODS

In this study, seventy-three patients with cLBP and 52 healthy controls (HCs) were recruited. The resting-state functional connectivity (rsFC) and effective connectivity (EC) of the LC were evaluated. Then support vector machines (SVM) and logistic regression (LR) were used to distinguish the cLBP from the HCs based on the connectivity features.

RESULTS

Compared to HCs, patients with cLBP exhibited significantly decreased rsFC of the left LC-superior frontal gyrus (SFG), middle cingulate cortex (MCC), right LC-left cerebellum, right middle frontal gyrus (MFG) pathways, and enhanced regions including left precuneus gyrus and right angular gyrus (P < 0.05, Family Wise Error corrected). The EC showed increased from the right LC to left cerebellum in cLBP. In addition, SVM and LR achieved high performance in differentiating the patients with cLBP from HC (accuracy = 0.78 and 0.74, respectively) in training cohort and the independent test cohort (accuracy = 0.77 and 0.69, respectively) based on rsFC of the LC.

CONCLUSION

Our results suggest that impaired LC-cerebellar-cortical circuits mediate the modulation of emotions and chronic pain. Critically, support vector machine and logistic regression models demonstrated the potential of LC connectivity patterns as objective neuroimaging biomarkers for differentiating patients with cLBP from HCs.