Inclusion of kinesthetics feedback with vision to improve the control of neural activity of the primary motor cortex

Abstract

In healthy people, the brain controls movement with a high amount of feedback from many modes of perception. Disease or injury compromises these sensory pathways, as well as their neural impulse counterparts, in many people, resulting in major deficits and a lower quality of life. The use of kinesthetics feedback can be used as a therapy method for a variety of neurological diseases like Parkinson's disease (PD) and stroke is gaining popularity. One of these therapeutic possibilities is to use a closed-loop feedback model with mental imagery as the self-regulation support to improve volitional control of malfunctioning or damaged brain networks and nodes. BMIs (Brain–Machine Interfaces) promise to restore function to these people by letting them to control a gadget with their thoughts. The majority of present BMI implementations rely on visual feedback for closed-loop control; But it has been argued that adding more sensory modalities could improve control. The paper shows that kinesthetics feedback may be combined with vision to considerably improve control of a primary motor cortex neural activity (MI). These findings imply that in paralysed individuals with residual kinesthetics feeling, BMI control can be greatly enhanced, and they provide the framework for augmenting cortically controlled BMIs with a variety of surrogate or natural sensory feedback.