Ravi Raithatha

University of Pikeville

Papers

2

Total Citations

100

H-Index

2

About

Ravi Raithatha is a researcher specializing in neurorehabilitation and spinal cord injury recovery, with a particular focus on the intersection of non-invasive brain stimulation and advanced robotic technologies. His work explores how emerging therapeutic modalities can be combined to maximize functional recovery in individuals living with incomplete spinal cord injury (SCI). Raithatha's most influential contribution, garnering 80 citations, investigates the synergistic potential of transcranial direct current stimulation (tDCS) paired with robot-assisted gait orthosis locomotor training (LT-RGO). This randomized pilot study broke new ground by being among the first to systematically examine whether combining these two promising interventions could produce superior motor outcomes compared to either approach alone — a clinically significant question with real implications for rehabilitation practice. His additional work, cited 20 times, extends this inquiry through a rigorous double-blind, sham-controlled crossover design examining transvertebral direct current stimulation (tvDCS) alongside robotic locomotor training, offering nuanced insight into the directionality and specificity of stimulation effects. Together, these contributions position Raithatha as a thoughtful pioneer in multimodal SCI rehabilitation research, helping lay the scientific groundwork for evidence-based protocols that could meaningfully improve quality of life for individuals with chronic spinal cord injuries.

Research Focus

Key Achievements

2
H-Index
2
Papers
100
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study
80 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Pikeville

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago