DocumentCode
954102
Title
Microchannels as Axonal Amplifiers
Author
Fitzgerald, James J. ; Lacour, Stéphanie P. ; McMahon, Stephen B. ; Fawcett, James W.
Author_Institution
Cambridge Univ., Cambridge
Volume
55
Issue
3
fYear
2008
fDate
3/1/2008 12:00:00 AM
Firstpage
1136
Lastpage
1146
Abstract
An implantable neural interface capable of reliable long-term high-resolution recording from peripheral nerves has yet to be developed. Device design is challenging because extracellular axonal signals are very small, decay rapidly with distance from the axon, and in myelinated fibres are concentrated close to nodes of Ranvier, which are around 1 mum long and spaced several hundred micrometers apart. We present a finite element model examining the electrical behavior of axons in microchannels, and demonstrate that confining axons in such channels substantially amplifies the extracellular signal. For example, housing a 10-mum myelinated axon in a 1-cm-long channel with a 1000-mum2 cross section is predicted to generate a peak extracellular voltage of over 10 mV. Furthermore, there is little radial signal decay within the channel, and a smooth axial variation of signal amplitude along the channel, irrespective of node location. Additional benefits include a greater extracellular voltage generated by large myelinated fibres compared to small unmyelinated axons, and the reduction of gain to unity at the end of the channel which ensures that there can be no crosstalk with electrodes in other channels nearby. A microchannel architecture seems well suited to the requirements of a peripheral nerve interface.
Keywords
bioMEMS; bioelectric phenomena; biomembrane transport; finite element analysis; neurophysiology; physiological models; axonal amplifiers; electrical behavior; extracellular axonal signals; extracellular voltage generation; finite element model; implantable neural interface; microchannel architecture; myelinated fibres; nodes of Ranvier; reliable long-term high-resolution peripheral nerves recording; Electrodes; Extracellular; Frequency; Humans; Microchannel; Muscles; Needles; Nerve fibers; Optical fiber devices; Optical fiber sensors; Voltage; Finite Element Methods; Finite element methods; Modeling; Neural Interfaces; Peripheral Nerve; modeling; neural interfaces; peripheral nerve; Action Potentials; Amplifiers; Axons; Computer Simulation; Electric Impedance; Electric Stimulation; Electrodes, Implanted; Humans; Microelectrodes; Models, Neurological; Peripheral Nerves;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2007.909533
Filename
4360145
Link To Document