Papers

2

Total Citations

31

H-Index

2

About

Minxia Jin is a leading researcher in neurorehabilitation, focusing on brain–computer interfaces (BCIs) and non-invasive brain stimulation to restore motor function after stroke. Her work centers on how targeted neuromodulation—particularly transcranial direct current stimulation (tDCS)—can prime the brain for recovery, enhancing the effects of physiotherapy in patients with hemiparetic upper limb impairments. In her highly cited 2022 study (28 citations), she demonstrated that BCI-robot training significantly improves upper extremity performance in chronic stroke patients, using functional near-infrared spectroscopy to reveal measurable cortical activation changes in the primary motor cortex (M1). This work provided crucial evidence for experience-dependent neuroplasticity driven by closed-loop BCI systems. Her 2024 protocol for a randomized controlled trial on tDCS priming in subacute stroke further underscores her systematic approach to optimizing recovery windows. By bridging neural engineering and clinical rehabilitation, Jin’s research offers scalable, evidence-based interventions that could transform post-stroke care, making her a pivotal figure in the field of restorative neurology.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Brain–Computer Interface-Robot Training Enhances Upper Extremity Performance and Changes the Cortical Activation in Stroke Patients: A Functional Near-Infrared Spectroscopy Study
28 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Shanghai Sunshine Rehabilitation Center, Tongji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago