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Validation of a Flexible Bilayer Micro-Electrocorticography Array and Extraction of High-Frequency Features of Neuronal Activity

Abstract Neural interfacing applications have advanced in complexity, with needs for increasingly high degrees of freedom in prosthetic device control, sharper discrimination in sensory percepts in bidirectional interfaces, and more precise localization of functional connectivity in the brain. As such, there is a growing need for reliable neurophysiological recordings at a fine spatial scale matching that of cortical columnar processing. Penetrating microelectrodes provide localization sufficient to isolate action potential (AP) waveforms, but often suffer from recorded signal deterioration linked to foreign body response. Micro-Electrocorticography (μECoG) surface electrodes elicit lower foreign body response and show greater chronic stability of r... (more)
Created Date 2018
Contributor Barton, Cody David (Author) / Greger, Bradley (Advisor) / Greger, Bradley (Committee member) / Santello, Marco (Committee member) / Buneo, Christopher (Committee member) / Graudejus, Oliver (Committee member) / Artemiadis, Panagiotis (Committee member) / Arizona State University (Publisher)
Subject Bioengineering / Neurosciences / Action Potential / Bilayer Metallization / Frequency-Domain Analysis / Functional Connectivity / Micro-Electrocorticography / Neural Decode
Type Doctoral Dissertation
Extent 98 pages
Language English
Note Doctoral Dissertation Biomedical Engineering 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis