Credit: University of Tsukuba

Robots designed for neurorehabilitation, specifically for supporting arm and leg movement and motor relearning, are increasingly being adopted for individuals with limited limb mobility due to illness or injury. However, differences in brain responses between robot-driven passive movement and active, volitional control during robot-assisted active movement are poorly understood. Elucidating these differences is crucial for understanding the mechanisms of motor learning, neuroplasticity, and functional recovery.

Researchers at University of Tsukuba have demonstrated for the first time that brain regions responsible for high-level motor planning and preparation, such as the premotor cortex, are activated when a cyborg-type robot is volitionally controlled. This was confirmed through real-time brain measurements during robot-assisted movement. Active rehabilitation using wearable robots that respond to the user's intention could promote neural plasticity and facilitate functional brain reorganization.

For the study, now published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, the research team examined brain activity in healthy participants wearing a cyborg-type robot (Wearable Cyborg HAL, CYBERDYNE Inc.) while raising their arms under three conditions.

The first condition was robot-assisted active movement, where participants initiated arm movement while receiving robotic support. The second condition, robot-driven passive movement, involved the robot moving the arm without the participant's intention. The third condition was spontaneous movement, where the participant raised their arm unassisted.

Functional near-infrared spectroscopy performed to measure changes in brain blood flow revealed significantly higher activity in the brain regions responsible for movement during active robot assistance and voluntary movement without robotic assistance.

Specifically, higher-order motor areas, such as the prefrontal cortex and supplementary motor area, which are involved in planning and preparing movements, showed strong activity. However, when the arm was being completely robotically driven, brain activity on the same side as the moving arm and in higher-order motor areas was lower.

These results demonstrate that intention for voluntary movement is essential for eliciting broader brain activity and promoting brain learning and recovery in rehabilitation and robot-assisted therapy. Furthermore, the findings highlight the potential for cyborg-type rehabilitation technologies, which enable human-robot cooperative movement according to the wearer's intentions, thereby significantly transforming future medical care.

More information: Margaux Noémie Lafitte et al, Cerebral Correlates of Robot-Assisted Upper Limb Motion Driven by Motor Intention in Healthy Individuals: An fNIRS Study, IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025). DOI: 10.1109/TNSRE.2025.3578796