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Related Experiment Video

Updated: May 15, 2026

Treating Low Back Pain in Failed Back Surgery Patients with Multicolumn-lead Spinal Cord Stimulation

Treating Low Back Pain in Failed Back Surgery Patients with Multicolumn-lead Spinal Cord Stimulation

Published on: June 26, 2018

Multivariate classification of structural MRI data detects chronic low back pain.

Hoameng Ung¹, Justin E Brown, Kevin A Johnson

¹Division of Pain Medicine, Department of Anesthesia.

Cerebral Cortex (New York, N.Y. : 1991)

|December 19, 2012

Summary

Chronic low back pain (cLBP) is linked to distinct brain gray matter changes. Machine learning accurately identified cLBP patients by analyzing these brain structure differences.

Keywords:

classification low back pain structural imaging support vector machine

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Published on: August 8, 2019

Area of Science:

Neuroscience
Medical Imaging
Pain Research

Background:

Chronic low back pain (cLBP) significantly impacts individuals and society.
The underlying pathology of cLBP is often unclear, hindering diagnosis and treatment.
cLBP is increasingly associated with alterations in brain structure and function.

Purpose of the Study:

To investigate if brain gray matter (GM) density patterns can objectively detect cLBP.
To identify specific brain regions associated with cLBP through neuroimaging analysis.

Main Methods:

Magnetic resonance imaging (MRI) scans were used to extract GM density from 47 cLBP patients and 47 healthy controls.
Support vector machine (SVM) analysis was employed to classify cLBP based on GM density data.
Multivariate pattern analysis was utilized to explore neuroanatomical differences.

Main Results:

Support vector machine analysis achieved 76% accuracy in classifying cLBP patients.
Key brain regions contributing to classification included somatosensory, motor, and prefrontal cortices.
Significant GM differences were also observed in the temporal lobe, amygdala, cerebellum, and visual cortex.

Conclusions:

Brain gray matter changes are a characteristic feature of chronic low back pain.
Neuroimaging analysis of GM density shows potential for objective cLBP detection.
These findings highlight relevant pathological brain morphology associated with cLBP.