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Author Spotlight: Assessing Brain Activity in Robotic-Assisted Lower Limb Rehabilitation Using fNIRS
Published on: June 7, 2024
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Involvement of the Rostromedial Prefrontal Cortex in Human-Robot Interaction: fNIRS Evidence From a Robot-Assisted
Duc Trung Le1,2, Kazuki Watanabe1, Hiroki Ogawa1
1Department of Musculoskeletal Functional Research and Regeneration, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Frontiers in Neurorobotics
|April 4, 2022
Summary
Neurorehabilitation robots engage the brain
Area of Science:
- Neuroscience
- Robotics
- Rehabilitation Medicine
Background:
- Assistive exoskeleton robots are crucial for neurorehabilitation, enhancing motor and sensory functions.
- The brain prioritizes external information processing (IP) during robot-assisted tasks, but underlying neural mechanisms are unclear.
- The rostromedial prefrontal cortex (rmPFC) is hypothesized to manage executive resource allocation for external IP.
Purpose of the Study:
- To investigate cortical activation related to executive resource allocation during robot-assisted motor tasks.
- To explore the role of the rmPFC in prioritizing external information processing during human-robot interaction.
Main Methods:
- Functional near-infrared spectroscopy (fNIRS) was used to measure cortical activity.
- Participants performed an elbow flexion-extension task under three conditions: robotic assistive loading (ROB), resistive loading (RES), and non-loading (NON).
- Statistical analyses included repeated measures ANOVA and general linear model-based methods.
Main Results:
- Hemodynamic responses in the ventral and dorsal rmPFC were significantly higher during ROB compared to NON.
- The ventral rmPFC showed greater hemodynamic responses during ROB compared to RES.
- Increased activation in rmPFC subregions suggests a role in executive resource allocation.
Conclusions:
- The study provides novel insights into the neural basis of executive control during robot-assisted motor tasks.
- Increased rmPFC activation indicates its involvement in prioritizing external information processing during human-robot interactions.

