Niclas Braun
Papers
2
Total Citations
67
H-Index
2
About
Niclas Braun is a leading researcher in neurofeedback and motor rehabilitation, whose work bridges cognitive neuroscience and human-robot interaction. His primary research areas include embodied neurofeedback, motor imagery training, and post-stroke motor recovery. Braun’s major contribution lies in demonstrating that the type of sensory feedback—particularly anthropomorphic robotic hand feedback—can significantly enhance the efficacy of neurofeedback-guided motor imagery training (NF-MIT) for stroke patients. His seminal 2016 paper, "Embodied neurofeedback with an anthropomorphic robotic hand," with 49 citations, introduced the concept that embodiment and self-paced feedback improve neural plasticity and motor outcomes. This work has been foundational for developing more intuitive, patient-centered rehabilitation technologies. His 2020 follow-up study, "Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation" (18 citations), further refined these protocols, emphasizing user agency and real-time brain-computer interface integration. Braun’s research has been instrumental in shifting NF-MIT from signal-processing optimization toward richer, multisensory feedback paradigms, directly impacting clinical rehabilitation practices. His achievements include advancing embodied neurofeedback as a viable, non-invasive therapy for upper limb impairment, making him a key figure in neurorehabilitation and brain-computer interface research.
Research Focus
Key Achievements
Top Papers
- 1Embodied neurofeedback with an anthropomorphic robotic hand49 citations · 2016
- 2