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About

Lingjing Jin is a leading researcher at the intersection of neurorehabilitation and robotics, whose work is transforming recovery for stroke survivors. Her primary focus is on developing and validating brain-computer interface (BCI) and robotic systems to restore motor function after neurological injury. A major contribution is her rigorous evaluation of BCI-based training for upper-limb rehabilitation, demonstrating through a 2025 meta-analysis (29 citations) that these interventions can significantly improve motor outcomes. Her 2022 functional near-infrared spectroscopy study (28 citations) provided crucial mechanistic insight, showing that BCI-robot training enhances upper extremity performance by driving neuroplastic changes in the primary motor cortex. Beyond BCI, Jin has advanced the theoretical understanding of spastic paresis, arguing in a 2024 paper (16 citations) for its reclassification as a treatable movement disorder. She has also innovated in prosthetics, developing a game-theoretic human-robot collaborative control scheme for lower-limb devices (2024, 13 citations). With her most-cited works accumulating over 100 citations, Jin is a pivotal figure in evidence-based neurorehabilitation, bridging cutting-edge technology with clinical application to restore independence and quality of life for patients with severe motor deficits.