Poisson distribution to analyze near-threshold motor evoked potentials.

Abstract:

:Motor unit action potentials (MUAPs) evoked by repetitive, low-intensity transcranial magnetic stimulation can be modeled as a Poisson process. A mathematical consequence of such a model is that the ratio of the variance to the mean of the amplitudes of motor evoked potentials (MEPs) should provide an estimate of the mean size of the individual MUAPs that summate to generate each MEP. We found that this is, in fact, the case. Our finding thus supports the use of the Poisson distribution to model MEP generation and indicates that this model enables characterization of the motor unit population that contributes to near-threshold MEPs.

journal_name

Muscle Nerve

journal_title

Muscle & nerve

authors

Kaelin-Lang A,Conforto AB,Z'Graggen W,Hess CW

doi

10.1002/mus.21818

subject

Has Abstract

pub_date

2010-11-01 00:00:00

pages

825-8

issue

5

eissn

0148-639X

issn

1097-4598

journal_volume

42

pub_type

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