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A multiple regression model of normal central and peripheral motor conduction times

Lookup NU author(s): Dr Stephan Jaiser, Professor Stuart BakerORCiD, Professor Mark BakerORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Introduction: 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 significantly correlated 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 one of 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.

Publication metadata

Author(s): Jaiser SR, Barnes JD, Baker SN, Baker MR

Publication type: Article

Publication status: Published

Journal: Muscle & Nerve

Year: 2014

Volume: 51

Issue: 5

Pages: 706-712

Print publication date: 01/05/2015

Online publication date: 24/08/2014

Acceptance date: 18/08/2014

Date deposited: 29/06/2015

ISSN (print): 0148-639X

ISSN (electronic): 1097-4598

Publisher: Wiley

URL: http://dx.doi.org/10.1002/mus.24427

DOI: 10.1002/mus.24427

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