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About

Natalie Mrachacz‐Kersting is a leading researcher in neurorehabilitation, brain-computer interfaces (BCIs), and neural plasticity, with a focus on restoring motor function after neurological injury. Her work bridges engineering and neuroscience to develop technologies that detect movement intentions from brain signals and translate them into robotic or therapeutic interventions. A major contribution is her pioneering use of low-frequency electroencephalography (EEG), particularly the movement-related cortical potential (MRCP), to predict and decode movement parameters such as force development—enabling more intuitive, real-time control of assistive devices. Her studies on spinal plasticity in robot-mediated therapy have provided critical evidence for the neural mechanisms underlying functional recovery, while her research on technologically advanced spasticity assessment has improved clinical evaluation tools. With over 58 citations across her most-cited works, her impact is growing, especially through her 2024 paper on EEG-based force prediction. She has also explored bidirectional learning between algorithms and users, advancing adaptive BCI systems. Her work is essential reading for students and researchers interested in closed-loop neurorehabilitation, motor control, and the translation of brain signals into clinical practice.