Authors
Doerig, M., Cole, D., Guekos, A., Staempfli, P., Schuetz, P., Schweinhardt, P., Meier, M. L.
Abstract
Chronic low back pain (CLBP) has been linked to maladaptive cortical plasticity in sensorimotor regions, which may contribute to pain persistence through less distinct ("smudged") somatotopic maps of afferent input from the back. However, empirical support for such functional reorganization processes, especially in the primary somatosensory cortex (S1), is limited. To delineate precise sensory representations of the back and test for altered somatotopic processing in CLBP, we utilized an MR-compatible pneumatic vibration device and applied frequency-specific vibrotactile stimuli (20 Hz and 80 Hz) at nine thoracolumbar paraspinal sites in 45 patients with CLBP and 41 healthy controls. Representational similarity analysis (RSA) was employed via a whole-brain searchlight method, and the neural representational patterns were contrasted against theoretical models including a segmental (based on anatomical proximity), simple (upper vs. lower back division) and a random model. In addition, a machine learning classifier was trained to predict afferent input from the upper vs lower back in healthy controls and tested in CLBP patients. Both groups displayed well-organized segmental representations spanning somatosensory, motor, and posterior parietal cortices. Posterior parietal regions exhibited the best model fits, followed by S1. No evidence for differences in representational patterns between groups was found. In CLBP patients, these patterns did not show associations with pain duration, severity, fear of movement or self-reported back perception. The classifier, trained on healthy controls, accurately predicted upper vs lower back afferent input in CLBP patients. These findings indicate preserved cortical maps of the back in CLBP, challenging the hypothesis of sensory cortical reorganization in this condition.
Preprint server:
bioRxiv
The authors list and abstract were imported from bioRxiv on 08 Nov 2025.
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