Biomedicines, 2023 · DOI: 10.3390/biomedicines11051283 · Published: April 26, 2023
This review focuses on using computational models to understand how transcutaneous spinal direct current stimulation (tsDCS) affects the spinal cord. These models, based on MRI, help predict how electric fields from tsDCS interact with the spinal cord's anatomy. The review compares these model predictions with clinical findings to optimize tsDCS protocols. It looks at how the electric fields distribute in the spinal cord during tsDCS and discusses how this knowledge can improve the effectiveness and safety of tsDCS. The analysis emphasizes the importance of individualized, patient-specific models to account for differences in anatomy and electrode placement. This personalized approach could lead to better clinical outcomes in treatments like spinal cord injury.
Tailoring tsDCS protocols to individual anatomy using MRI-based models can improve the precision and effectiveness of the stimulation.
Understanding the impact of electrode placement on electric field distribution can help maximize the desired neuromodulatory effects.
The safety and potential neuroplastic effects of tsDCS support exploring new clinical applications, particularly in spinal cord injury and neurodegenerative diseases.