Attila Korik
Papers
3
Total Citations
165
H-Index
3
About
Attila Korik is a pioneering researcher at the intersection of neural engineering and rehabilitation robotics, whose work focuses on restoring motor function after stroke. His primary research areas include brain-computer interfaces (BCIs), electroencephalography (EEG)-based neural decoding, and robotic-assisted gait training (RAGT). Korik’s major contribution lies in advancing direct neural interfacing with robotic devices to enhance stroke rehabilitation. His landmark systematic review, cited 137 times, established the current state-of-the-art and introduced the DESIRED checklist—a critical framework for improving the rigor and reproducibility of studies in this field. This work has become a foundational reference for researchers developing EEG and electromyography (EMG)-controlled gait systems. In a notable pilot study with 25 citations, Korik demonstrated the feasibility of decoding imagined 3D arm movement trajectories from EEG to control two virtual arms, pushing the boundaries of naturalistic BCI control. More recently, his 2022 work on RAGT revealed altered neural mechanisms in stroke survivors, providing evidence that robotic training can induce measurable neuroplastic changes. By bridging neural decoding with practical rehabilitation technology, Korik is helping to pave the way for more intuitive, effective, and personalized motor recovery interventions for stroke patients.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3