Our primary research interest is in the area of motor neuroprosthetics. We seek to restore function to those suffering from neuromuscular disease and/or paralysis. This study will design and test a novel implantable, epidural micro-electrocorticographic (uECoG) array capable of recording high gamma band activity from the brain for long periods of time (years). We have developed a novel behavioral paradigm in a non-human primate virtual reality simulator to test and optimize the uECoG design. This neuroprosthetic research project will develop the knowledge, tools, and equipment needed to enable paralyzed individuals to control a computer cursor, wheelchair or robotic limb.
The specific aims of this project are to 1) Develop and bench-test 5ECoG electrode array and implantable device platform;2) Determine the optimal electrode diameters and inter-electrode spacings for both open-loop and closed-loop chronic recordings of gamma band activity over motor cortical regions in the non-human primate brain using an epidural 5ECoG electrode;and 3) Determine the optimal epidural 5ECoG signal parameters (i.e. center frequency and bandwidth) and motor cortical region (M1, Pmv, Pmd) for closed-loop BCI control of a computer cursor.

Public Health Relevance

This project will design and test a novel, implantable, thin-film, epidural micro-electrocorticographic electrode array that will allow long-term chronic recording of brain activity. This new electrode design will be optimized for use in a brain-computer interface system that will allow paralyzed individuals to accurately control a computer mouse via direct brain control.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB009103-02
Application #
7687961
Study Section
Special Emphasis Panel (ZRG1-NT-B (01))
Program Officer
Peng, Grace
Project Start
2008-09-15
Project End
2012-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
2
Fiscal Year
2009
Total Cost
$502,362
Indirect Cost
Name
Washington University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Mohanty, Rosaleena; Sinha, Anita M; Remsik, Alexander B et al. (2018) Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity. Front Neurosci 12:353
Mohanty, Rosaleena; Sinha, Anita M; Remsik, Alexander B et al. (2018) Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning. Front Neurosci 12:624
Remsik, Alexander B; Dodd, Keith; Williams Jr, Leroy et al. (2018) Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial. Front Neurosci 12:752
Degenhart, Alan D; Hiremath, Shivayogi V; Yang, Ying et al. (2018) Remapping cortical modulation for electrocorticographic brain-computer interfaces: a somatotopy-based approach in individuals with upper-limb paralysis. J Neural Eng 15:026021
Dodd, Keith C; Nair, Veena A; Prabhakaran, Vivek (2017) Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery. Front Hum Neurosci 11:469
Lycke, Roy J; Schendel, Amelia; Williams, Justin C et al. (2014) In vivo evaluation of a ?ECoG array for chronic stimulation. Conf Proc IEEE Eng Med Biol Soc 2014:1294-7
Krakova, Yelena; Tajalli, Hadi; Thongpang, Sanitta et al. (2014) Spatial differences in corneal electroretinogram potentials measured in rat with a contact lens electrode array. Doc Ophthalmol 129:151-66
Park, Dong-Wook; Schendel, Amelia A; Mikael, Solomon et al. (2014) Graphene-based carbon-layered electrode array technology for neural imaging and optogenetic applications. Nat Commun 5:5258
Schendel, Amelia A; Nonte, Michael W; Vokoun, Corinne et al. (2014) The effect of micro-ECoG substrate footprint on the meningeal tissue response. J Neural Eng 11:046011
Young, Brittany M; Williams, Justin; Prabhakaran, Vivek (2014) BCI-FES: could a new rehabilitation device hold fresh promise for stroke patients? Expert Rev Med Devices 11:537-9

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