Stephen Coombes

Associate Professor University of Florida

  • Gainesville FL

Stephen Coombes researches how humans move and how humans experience pain.

Contact

University of Florida

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Biography

Stephen Coombes’ research focuses on how motor, pain, and emotional processes influence each other. He also examines how spatial and temporal forms of visual information differentially engage visual, motor, and memory brain circuits in health and after stroke.

Areas of Expertise

Virtual Reality Rehabilitation
Pain
Neuroscience and the Brain
Brain Imaging
Brain Rehabilitation

Media Appearances

Identifying damage to the brain’s superhighway

UF News  online

2016-11-18

University of Florida researchers have developed a template showing the brain’s superhighways and how they are impacted by a stroke. The brain images required to create the template were processed on HiPerGator, UF's supercomputer.

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Articles

Cell-specific effects of Dyt1 knock-out on sensory processing, network-level connectivity, and motor deficits

Experimental Neurology

BJ Wilkes, et al.

2021-06-25

DYT1 dystonia is a debilitating movement disorder characterized by repetitive, unintentional movements and postures. The disorder has been linked to mutation of the TOR1A/DYT1 gene encoding torsinA. Convergent evidence from studies in humans and animal models suggest that striatal medium spiny neurons and cholinergic neurons are important in DYT1 dystonia.

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Empirically derived back pain subgroups differentiated walking performance, pain, and disability

PAIN

Katie Butera, et al.

2021-06-01

Low back pain (LBP) is a leading cause of disability. However, the processes contributing to disability are not well understood.

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66361 TL1 Team Approach to Predicting Response to Spinal Cord Stimulation for Chronic Low Back Pain

Journal of Clinical and Translational Science

Kyle See, et al.

2021-03-30

Spinal cord stimulation (SCS) is an intervention for chronic low back pain where standard interventions fail to provide relief. However, estimates suggest only 58% of patients achieve at least 50% reduction in their pain. There is no non-invasive method for predicting relief provided by SCS. We hypothesize neural activity in the brain can fill this gap.

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