Joanna Su Xian Chong

National University of Singapore

Papers

1

Total Citations

29

H-Index

1

About

Joanna Su Xian Chong is a rising investigator at the intersection of neurorehabilitation and brain-computer interface (BCI) technology. Her primary research focuses on restoring motor function after stroke through innovative, non-invasive brain stimulation techniques. In her most cited pilot study (2021, 29 citations), Chong investigated the synergistic potential of combining BCI-assisted motor imagery (MI-BCI) with transcranial direct current stimulation (tDCS). This work directly addressed a critical gap in the field: whether the combination of these two promising therapies yields greater functional recovery than either alone. By mapping the brain’s functional changes post-intervention, her research provides foundational evidence for more effective, personalized rehabilitation protocols. Chong’s contributions are particularly impactful for stroke survivors, offering a pathway to enhanced neuroplasticity and motor recovery. Her work is gaining recognition for its clear clinical relevance and methodological rigor, positioning her as a key voice in the future of BCI-assisted neurorehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study
29 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: National University of Singapore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago