DocumentCode
1138096
Title
Correspondence between the location of evoked potential generators and sites of maximal sensitivity to stimulation
Author
Stecker, Mark M.
Author_Institution
Dept. of Neurology, Geisinger Med. Center, Danville, PA, USA
Volume
52
Issue
9
fYear
2005
Firstpage
1619
Lastpage
1621
Abstract
The potential recorded by a set of electrodes as an action potential traverses a small axonal segment is proportional to the transmembrane potential produced during stimulation of that axon segment by the same set of recording electrodes, under certain circumstances. First, the membrane must have a constant thickness which is so small that the difference between the surface area of the inner and outer surfaces is minimal. Second, all media must be linear. Third, there must be a monotonically increasing relation between the mean transmembrane potential induced by a stimulus and the maximum transmembrane potential. Fourth, as each axon segment depolarizes, the transmembrane current and change in membrane potential during this time are same. This principle remains true for magnetic stimulation and recording as long as currents generated at the boundaries between regions of differing conductivity outside the axon contribute minimally to the field at the axon. This allows the identification of the point at which an action potential generates a maximal extracellular potential as the point that is stimulated with the lowest threshold.
Keywords
bioelectric potentials; biomedical electrodes; biomembranes; neurophysiology; action potential; axonal segment; electrodes; evoked potential generators; extracellular potential; magnetic stimulation; transmembrane potential; Bioelectric phenomena; Biomembranes; Conductivity; Conductors; Electric potential; Electrodes; Extracellular; Magnetic recording; Magnetic stimulation; Nerve fibers; Evoked potentials; nerve; nerve stimulation; reciprocity; Action Potentials; Animals; Axons; Cell Membrane; Computer Simulation; Differential Threshold; Electric Stimulation; Evoked Potentials; Humans; Models, Neurological; Neural Conduction;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2009.851495
Filename
1495708
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