Estimation of voluntary elicited motor neuron discharge using a peripheral nerve collision technique at different contraction strengths.

Scheidegger, Olivier; Kamber, Nicole; Rösler, Kai Michael (2018). Estimation of voluntary elicited motor neuron discharge using a peripheral nerve collision technique at different contraction strengths. Clinical neurophysiology, 129(8), pp. 1579-1587. Elsevier 10.1016/j.clinph.2018.04.751

[img] Text
1-s2.0-S1388245718310800-main.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

OBJECTIVE

To estimate non-invasively the amount, recruitment pattern and discharge frequency of spinal motor neurons (MN) at contraction strength >20% of maximal voluntary contraction (MVC) of small hand muscles.

METHODS

A peripheral collision technique was used and consisted of supramaximal electrical stimuli at Erb's point and at the wrist, synchronizing descending volleys of action potential during voluntary isometric contractions of the abductor digiti minimi muscle at 20-80% of MVC strength and 1-8 s of contraction duration. Responses of 13 healthy volunteers were quantified and analysed using a recently described model of MN behaviour.

RESULTS

A linear relationship between MN discharge and force generation was noticed with R2 = 0.996, and was confirmed using the simulation results (R2 = 0.997) for contraction durations up to 8 s. For each investigated force level, discharge frequency and recruitment pattern were calculated for individual MN.

CONCLUSIONS

Using this method, MN discharge properties during voluntary activity can be estimated non-invasively.

SIGNIFICANCE

This method provides new opportunities for the non-invasive study of MN behaviour, and could be expanded to patients with conduction failure and during fatigue.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Scheidegger, Olivier, Kamber, Nicole, Rösler, Kai Michael

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1388-2457

Publisher:

Elsevier

Language:

English

Submitter:

Stefanie Hetzenecker

Date Deposited:

14 Jun 2018 08:23

Last Modified:

05 Dec 2022 15:14

Publisher DOI:

10.1016/j.clinph.2018.04.751

PubMed ID:

29885647

Uncontrolled Keywords:

Collision technique Discharge frequency Healthy volunteers Recruitment Small hand muscles Spinal motor neuron

BORIS DOI:

10.7892/boris.117192

URI:

https://boris.unibe.ch/id/eprint/117192

Actions (login required)

Edit item Edit item
Provide Feedback