Low Back Pain: Unveiling the Contribution of Motor Control Adaption Using Biomechanical Modeling and Neuroimaging

Background: Low back pain (LBP) is a major health issue. Treatment of chronic LBP is still a major challenge due to a lack of pathophysiological understanding. Thus, understanding LBP pathophysiology is a research priority. Adaptions of motor control likely play a significant role in chronic or recurrent LBP because motor control is crucial for spine posture, stability and movement. Different motor adaption strategies exist across individuals with LBP and two phenotypes representing the opposite ends of a spectrum have been suggested; i.e. "tight" control and "loose" control over trunk movement. The former would be associated with reduced trunk motor variability, the later with increased trunk motor variability. This conceptual framework is very useful to explain maintenance and aggravating of LBP because motor control adaptations are expected to have long-term consequences, such as increased spinal tissue loading, associated with degeneration of intervertebral discs and other tissues. Several knowledge gaps need to be addressed to test the validity of this framework: 1) Do loose/tight control phenotypes indeed exist and/or do other motor control adaption strategies exist? 2) Is reduced/altered paraspinal proprioceptive input associated with LBP related to neuroplastic cortical changes, thereby affecting the organizational structure in sensorimotor cortices and top-down trunk motor control? 3) Do psychological factors influence the organizational structure in sensorimotor cortices and motor control strategies? To address these knowledge gaps, the objectives of the current project are: I) To establish motor control phenotypes in LBP. Proprioceptive weighting and biomechanical assessment of dynamic movement tasks, including subject-specific spine kinematic variability and its relationship to pain duration, negative pain-related cognitions, segmental loadings and paraspinal muscle forces, will be performed. II) To test whether cortical proprioceptive maps differ between healthy subjects and patients with LBP. Brain activation in response to thoracolumbar vibrotactile stimulation will be interrogated using functional magnetic resonance imaging data and univariate and multivariate analysis based on machine learning. III) To test whether proprioceptive maps demonstrate a relationship to spine kinematic patterns, pain duration and negative pain-related cognitions in LBP patients.