Linked Life Data

20928910

Source:http://linkedlifedata.com/resource/pubmed/id/20928910

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2010-10-26
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1097-4598
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
825-8
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Poisson distribution to analyze near-threshold motor evoked potentials.
pubmed:affiliation
Department of Neurology, Inselspital, Berne University Hospital and University of Berne, Berne, Switzerland. alain.kaelin@dkf.unibe.ch
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't