I‐Ching Chuang

Chang Gung University, Chang Gung Memorial Hospital

Papers

2

Total Citations

21

H-Index

2

About

I-Ching Chuang is a leading researcher in neurorehabilitation, specializing in post-stroke motor recovery and spasticity management. Her work bridges cutting-edge rehabilitation technologies with patient-centered outcomes, particularly through the integration of botulinum toxin A (BoNT-A) with task-oriented therapies. In her landmark 2022 pilot randomized controlled trial (16 citations), Chuang systematically compared robot-assisted therapy, mirror therapy, and active control treatments combined with BoNT-A injections, providing critical evidence that combined approaches can enhance motor function and reduce spasticity more effectively than BoNT-A alone. This study has become a foundational reference for clinicians designing multimodal rehabilitation protocols. Chuang also advanced understanding of psychological factors in recovery; her 2021 secondary analysis (5 citations) demonstrated that self-efficacy mediates the relationship between motor ability and functional performance after task-related training, highlighting the importance of psychosocial support in stroke rehabilitation. By quantifying how confidence in one's abilities translates into real-world gains, Chuang's work empowers therapists to address both physical and motivational barriers. Her research continues to shape evidence-based practices that optimize recovery trajectories for stroke survivors.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Pilot Randomized Controlled Trial of Botulinum Toxin Treatment Combined with Robot-Assisted Therapy, Mirror Therapy, or Active Control Treatment in Patients with Spasticity Following Stroke
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Chang Gung University, Chang Gung Memorial Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago