Journal article

High Fidelity Bidirectional Neural Interfacing with Carbon Fiber Microelectrodes Coated with Boron-Doped Carbon Nanowalls: An Acute Study

Maryam A Hejazi, Wei Tong, Alastair Stacey, Shi H Sun, Molis Yunzab, Ali Almasi, Young Jun Jung, Hamish Meffin, Kate Fox, Khatereh Edalati, Athavan Nadarajah, Steven Prawer, Michael R Ibbotson, David J Garrett



Implantable electrodes that can communicate with a small, selective group of neurons via both neural stimulation and recording are critical for the development of advanced neuroprosthetic devices. Microfiber electrodes with neuron-scale cross-sections have the potential to improve the spatial resolution for both stimulation and recording, while minimizing the chronic inflammation response after implantation. In this work, glass insulated microfiber electrodes are fabricated by coating carbon fibers with boron-doped carbon nanowalls. The coating significantly improves the electrochemical properties of carbon fibers, leading to a charge injection capacity of 7.82 ± 0.35 mC cm−2, while retainin..

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Awarded by National Health and Medical Research Council of Australia

Awarded by Medical/Science Grant from the CASS Foundation

Awarded by Australian Research Council

Funding Acknowledgements

This research was funded by a Project Grant from The National Health and Medical Research Council of Australia (GNT1101717). The authors acknowledge use of the Advanced Microscopy Facility at Bio21 (The University of Melbourne) for SEM imaging and the National Vision Research Institute for use of electrophysiology equipment. The authors also acknowledge the facilities, and the scientific and technical assistance of the RMIT Microscopy and Microanalysis Facility (RMMF), a linked laboratory of Microscopy Australia, and the RMIT Advanced Manufacturing Precinct. The work was performed in part at the Melbourne Center for Nanofabrication (MCN) in the Victorian Node of the Australian National Fabrication Facility (ANFF). W.T. was supported by a Medical/Science Grant from the CASS Foundation (Ref. 8612). D.J.G. was supported by an ANFF/MCN Technology Ambassador Fellowship. A.N. was supported by the Australian Research Council via Linkage Grant LP160101515.