Multi-electrode array system for mapping neural network dynamics from human cerebral organoids follo
Abstract
Agency Program Manager: Dr. Timothy Bentley [342]; Naval Force Health Protection, Office of Naval Research (NRO)Understanding how th,e brain responds to trauma remains a major issue for both civilian and military populations. Traumatic brain injury (TBI) results in, a range of physical and psychological changes that may present immediately after an injury or an extended time later. Both blast an,d blunt trauma can produce mechanical stress (e.g., shear, pressure, and cavitation), that results in acute and chronic TBI-related,symptoms. However, there remains a cellular mechanism to link the mechanical changes to brain tissue with the underlying neural netw,ork responsible for the behavioral and psychological changes associated TBI.This project uses table-top exposure devices that can pr,ecisely deliver the mechanical stresses found in both blunt and blast injury to in vitro brain organoids. These brain organoids are,stem cell-derived 3D cultures of human astrocytes and neurons which replicate the architecture and physiology of human neuronal netw,orks found in the cerebral cortex, they exhibit complex oscillatory electrical currents analogous to brain waves, and make ideal i,n vitro models as they can survive for long durations in culture following exposure to study acute and chronic changes. The purpose,of this proposal is to expand our neurophysiological capabilities by incorporating a high throughput multielectrode array (MEA) syst,em capable of mapping brain organoid network activity. Using the MEA system, we can record 12 channels of electrographic signatures,from 24 organoids simultaneously. These electrographic signatures are similar to the electrocorticogram (ECoG) that maps spatial and, temporal properties of cortical brain function. We can use these multichannel signatures to identify unique electrographic features, for each mechanical force (e.g., high frequency pressure waves) the brain experience during TBI. The MEA will allow us to expand ou,r testable parameter space to quantify multiple dose-related physiological responses. Mapping these features over time will provide,insight into cortical brain function as a response to individual injury parameter. This information can be used along with machine l,earning tools, like convolutional neural networks (CNNs), to identify unique electrographic biomarkers for TBI to provide insight on, the neurophysiological response TBI.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 01, 2022
- Source ID
- N000142212351
Entities
People
- Zane Lybrand
Organizations
- Office of Naval Research
- United States Navy