Laurent J. Bouyer

About

Laurent J. Bouyer is a leading rehabilitation neuroscientist whose work spans motor learning, neurological rehabilitation, and signal processing for clinical applications. Based at the intersection of basic science and applied rehabilitation, Bouyer has made significant contributions to understanding how the nervous system adapts during movement and recovery from injury. Bouyer is perhaps best known for his pioneering investigations into how pain interferes with motor learning and rehabilitation. His influential 2014 studies demonstrated that tonic pain experienced during locomotor and upper-limb training impairs the retention of newly learned motor skills, with important implications for the millions of patients who undergo rehabilitation while in pain. These findings have accumulated over 120 citations combined and have reshaped thinking about optimal rehabilitation conditions. His work on robotic gait training post-stroke, summarized in a 2020 meta-analysis with 173 citations, has become a key reference for clinicians adopting technology-assisted rehabilitation. Bouyer has also advanced the field of EMG signal processing, with his 2023 review on noise reduction in single-channel EMG signals attracting nearly 150 citations in just two years. Earlier contributions exploring perturbation-based strategies to enhance ankle dorsiflexor activation further highlight his commitment to translating neuroscientific principles into practical rehabilitation tools for individuals with stroke and spinal cord injury.

Research Focus

Key Achievements

Top Papers

1. 1
   Effects of robotic gait training after stroke: A meta-analysis

   173 citations · 2020
2. 2
   Reducing Noise, Artifacts and Interference in Single-Channel EMG Signals: A Review

   147 citations · 2023
3. 3
   Tonic Pain Experienced during Locomotor Training Impairs Retention Despite Normal Performance during Acquisition

   74 citations · 2014
4. 4
   Effect of Tonic Pain on Motor Acquisition and Retention while Learning to Reach in a Force Field

   48 citations · 2014
5. 5
   Impact of online visual feedback on motor acquisition and retention when learning to reach in a force field

   35 citations · 2016
6. 6
   Modifications in ankle dorsiflexor activation by applying a torque perturbation during walking in persons post-stroke: a case series

   32 citations · 2014
7. 7
   Walking while resisting a perturbation: Effects on ankle dorsiflexor activation during swing and potential for rehabilitation

   31 citations · 2011
8. 8
   Reducing Noise, Artifacts and Interference in Single-Channel EMG Signals : A Review

   26 citations · 2023
9. 9
   Animal Models for Studying Potential Training Strategies in Persons with Spinal Cord Injury

   25 citations · 2005
10. 10
    Pain Induced during Both the Acquisition and Retention Phases of Locomotor Adaptation Does Not Interfere with Improvements in Motor Performance

    24 citations · 2016

Key Collaborators

Contact & Links