Title :
Bi-directional Optrode for quantitative prediction of neural interface failure
Author :
McLaughlin, B.L. ; Kampasi, K. ; Perlin, G.E. ; LeBlanc, J. ; Achyuta, Anil Kumar H. ; Kumar, Pranaw ; Cook, G. ; Segura, Carlos ; Mittal, Varun ; Kipke, Daryl
Author_Institution :
Charles Stark Draper Lab., Cambridge, MA, USA
Abstract :
An optical-electrical neural `Optrode´ is developed for quantitative optical spectroscopic assessment of cortical tissue damage around a neural implant. In contrast to other Optrodes which illuminate tissue for neural activation, this work uses bi-directional waveguides to obtain spectroscopic information from the tissue. An optical assessment has the potential for providing a real-time histological assessment, by quantifying changes in absorption and scattering properties associated with oxygenation and tissue density around the neural probe, in contrast to impedance spectroscopy which provides limited insight. Optrode performance is characterized in optical tissue phantoms and a proof-of-concept chronic rat model is developed. Optrodes were chronically implanted in rat cerebral cortex. The pilot study demonstrates feasibility for chronic optical assessment. Future Optrodes may lead to high throughput and real-time assessments for studying the dynamic nature of the foreign body response in neural tissue.
Keywords :
bioelectric phenomena; biological tissues; biomedical equipment; fibre optic sensors; light scattering; neurophysiology; phantoms; prosthetics; absorption properties; bi-directional optrode; bi-directional waveguides; chronic optical assessment; chronic rat model; cortical tissue damage; impedance spectroscopy; neural activation; neural implant; neural interface failure; neural probe; neural tissue; optical tissue phantoms; optical-electrical neural optrode; oxygenation; quantitative optical spectroscopy; quantitative prediction; rat cerebral cortex; scattering properties; tissue density; Optical device fabrication; Optical fibers; Optical imaging; Optical scattering; Optical sensors; Probes;
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/NER.2013.6696084