Visuomotor Prosthetic for Paralysis
Richard A. Andersen, PhD
Summary
The investigators objective is to run human clinical trials in which brain activity recorded through a "brain-chip" implanted in the human brain can be used to provide novel communication capabilities to severely paralyzed individuals by allowing direct brain-control of a computer interface. A prospective, longitudinal, single-arm early feasibility study will be used to examine the safety and effectiveness of using a neural communication system to control a simple computer interface and a tablet computer. Initial brain control training will occur in simplified computer environments, however, the ultimate objective of the clinical trial is to allow the human patient autonomous control over the Google Android tablet operating system. Tablet computers offer a balance of ease of use and functionality that should facilitate fusion with the BMI. The tablet interface could potentially allow the patient population to make a phone call, manage personal finances, watch movies, paint pictures, play videogames, program applications, and interact with a variety of "smart" devices such as televisions, kitchen appliances, and perhaps in time, devices such as robotic limbs and smart cars. Brain control of tablet computers has the potential to greatly improve the quality of life of severely paralyzed individuals. Five subjects will be enrolled, each implanted with the NCS for a period of at least 53 weeks and up to 313 weeks. The study is expected to take at least one year and up to six years in total.
Description
The objective of the proposed research is to obtain scientific knowledge of visuomotor transformations in posterior parietal cortex (PPC) and primary motor cortex (M1) from tetraplegic subjects in a clinical trial to advance the development of neural prosthetics. We have shown in clinical trials conducted over the past 6 years that PPC can control neural prosthetics for assisting tetraplegic subjects. Other groups have concentrated on M1 and likewise find control for neural prosthetics. In our studies of PPC we have found that besides trajectory signals to move robotic limbs or control compute…