A Biohybrid Neural Interface to Improve Motor Recovery after Stroke

Project: Research


  • Harmanvir Ghuman (PI)


Stroke remains the leading cause of serious, long-term disability without an effective treatment; nearly 15 million people are affected worldwide each year. While there has been a great deal of research into brain-machine interfaces (BMIs), surprisingly little research has been done to understand how to integrate them with damaged brain tissue. The central goal of our research proposal is to create a biohybrid neural interface that can restore circuit function after stroke by seamlessly merging artificial electronic systems with a biological substrate that can recruit endogenous neural cells to the site of injury. Our interdisciplinary proposal aims to combine the fields of neural tissue engineering, and systems neuroscience in order to create novel embedded systems that integrate with the damaged brain tissue. Our approach will use a combination of extracellular matrix (ECM) hydrogels, calcium imaging in awake animals and computational methods to repair and develop a quantitative model of the injured neural network. The outcomes from our research has the great potential to: (1) repair severely damaged neural circuits, (2) promote functional recovery, and (3) discover principles of circuit function.
Award amount$128,836.00
Award date01/01/2020
Program typePostdoctoral Fellowship
Award ID20POST35200183
Effective start/end date01/01/202012/31/2021