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A multiple regression model of normal central and peripheral motor conduction times
Author(s) -
Jaiser Stephan R.,
Barnes Jonathan D.,
Baker Stuart N.,
Baker Mark R.
Publication year - 2015
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.24427
Subject(s) - peripheral , transcranial magnetic stimulation , motor cortex , latency (audio) , upper limb , lumbar , regression , regression analysis , lower limb , anatomy , neuroscience , medicine , physical medicine and rehabilitation , psychology , stimulation , mathematics , surgery , statistics , computer science , telecommunications
The effects of age, height, and gender on magnetic central and peripheral motor conduction times (CMCT, PMCT) were analyzed using a multiple regression model. Methods Motor evoked potentials were recorded in 91 healthy volunteers. Magnetic stimulation was performed over the primary motor cortex (cortical latency) and over the cervical and lumbar spines (spinal latency). The spinal latency was taken as an estimate of PMCT and was subtracted from cortical latency to yield CMCT. Results Lower limb CMCT correlated significantly with height only; there were no significant predictors for upper limb CMCT. Upper and lower limb PMCT correlated with both age and height. Conclusions This is among the largest studies of CMCT in normal subjects. The multiple regression model unifies previously reported simple regression analyses, reconciles past discrepancies, and allows normal ranges to be individualized. Muscle Nerve 51 :706–712, 2015