Nathan Foreman

The University of Texas Southwestern Medical Center

Papers

Total Citations

257

H-Index

About

Nathan Foreman’s research centers on neurorehabilitation and motor recovery after spinal cord injury (SCI), with a particular focus on locomotor training and its neural underpinnings. His most influential work, a 2005 study on supraspinal activation patterns following robotic locomotor therapy in motor-incomplete SCI, has garnered 221 citations and fundamentally advanced our understanding of how task-specific training reshapes brain and spinal circuitry to restore walking function. This paper demonstrated that body weight-supported treadmill training (BWSTT) not only improves over-ground locomotion but also induces measurable changes in cortical and subcortical activation, providing a mechanistic basis for rehabilitation. Foreman further contributed a clinically valuable prediction model (2009, 36 citations) that enables clinicians to forecast walking speed recovery after 36 sessions of BWSTT, offering a practical tool for setting patient expectations and optimizing therapy. His work bridges the gap between basic neuroscience and clinical application, making him a key figure in evidence-based SCI rehabilitation. Foreman’s research has directly influenced the design of robotic exoskeletons and gait-training protocols, underscoring his impact on both scientific understanding and real-world patient outcomes.