Michael A. Dimyan

University of Maryland, Baltimore

Papers

2

Total Citations

27

H-Index

2

About

Michael A. Dimyan is a leading researcher in neurorehabilitation and stroke recovery, with a focus on understanding and predicting individual responses to motor training. His work centers on the intersection of neurophysiology, kinematics, and personalized medicine, aiming to identify biomarkers that can forecast rehabilitation outcomes. Dimyan’s major contributions include pioneering studies on baseline predictors of response to repetitive task practice in chronic stroke survivors, demonstrating that multimodal assessments—combining arm movement kinematics, genetic factors, and motor pathway integrity—can reliably forecast meaningful reductions in impairment. His 2022 paper on this topic has garnered 18 citations, while his 2019 methods paper, with 9 citations, established a rigorous framework for algorithmic prediction in upper extremity rehabilitation. These works are notable for their translational impact, offering clinicians tools to set realistic goals and allocate resources effectively. Dimyan’s research is pivotal in moving stroke rehabilitation toward precision medicine, where interventions are tailored to each patient’s unique neurophysiological profile, ultimately enhancing recovery outcomes for millions of survivors.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Baseline Predictors of Response to Repetitive Task Practice in Chronic Stroke
18 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Maryland, Baltimore

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago