Papers
3
Total Citations
56
H-Index
3
About
Wan-wa Wong is a leading researcher in stroke rehabilitation, specializing in the intersection of neuroplasticity, brain-computer interfaces (BCIs), and robot-assisted motor training. Her work focuses on developing and characterizing neural-guided interventions to restore hand function in chronic stroke survivors—a population where recovery typically plateaus. Wong’s most-cited study (2018, 33 citations) demonstrated that combining robot hand training with neural guidance can induce distinct neuroplasticity patterns, challenging assumptions about long-term motor recovery. She further advanced this field with a landmark 2021 paper (15 citations) showing that BCI-guided robot training modulates functional connectivity and low-frequency brain fluctuations, with effects persisting at a six-month follow-up—a rare longitudinal insight. Her more recent work (2021, 8 citations) pioneers the use of surface electroencephalography to build functional brain networks that predict which patients will benefit from these interventions, enabling personalized rehabilitation strategies. By bridging neuroengineering and clinical neuroscience, Wong’s research provides both mechanistic understanding and practical tools for stroke recovery. Her contributions are shaping how we design and target brain-based therapies, offering new hope for patients with chronic motor deficits.
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