Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model | Brain Communications | Oxford Academic

Sumner L Norman, Jonathan R Wolpaw, David J Reinkensmeyer, Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model, Brain Communications, Volume 4, Issue 6, 2022, fcac264, https://doi.org/10.1093/braincomms/fcac264 Sumner L Norman, Jonathan R Wolpaw, David J Reinkensmeyer, Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model, Brain Communications, Volume 4, Issue 6, 2022, fcac264, https://doi.org/10.1093/braincomms/fcac264 After a neurological injury, people develop abnormal patterns of neural activity that limit motor recovery. Traditional rehabilitation, which concentrates on practicing impaired skills, is seldom fully effective. New targeted neuroplasticity protocols interact with the central nervous system to induce beneficial plasticity in key sites and thereby enable wider beneficial plasticity. They can complement traditional therapy and enhance recovery. However, their development and

Sumner L Norman, Jonathan R Wolpaw, David J Reinkensmeyer, Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model, Brain Communications, Volume 4, Issue 6, 2022, fcac264, https://doi.org/10.1093/braincomms/fcac264 Sumner L Norman, Jonathan R Wolpaw, David J Reinkensmeyer, Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model, Brain Communications, Volume 4, Issue 6, 2022, fcac264, https://doi.org/10.1093/braincomms/fcac264 After a neurological injury, people develop abnormal patterns of neural activity