UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Load-Independent Contributions From Motor-Unit Synchronization to Human Physiological Tremor

Halliday, David M; Conway, Bernard A; Farmer, Simon F; Rosenberg, Jay R; (1999) Load-Independent Contributions From Motor-Unit Synchronization to Human Physiological Tremor. Journal of Neurophysiology , 82 (2) pp. 664-675. 10.1152/jn.1999.82.2.664. Green open access

[thumbnail of halliday-et-al-1999-load-independent-contributions-from-motor-unit-synchronization-to-human-physiological-tremor.pdf]
Preview
Text
halliday-et-al-1999-load-independent-contributions-from-motor-unit-synchronization-to-human-physiological-tremor.pdf - Published Version

Download (213kB) | Preview

Abstract

contributions from motor-unit synchronization to normal physiological tremor, which occur in the frequency ranges 1–12 Hz and 15–30 Hz. In common with previous studies, we use increased inertial loading to identify load-independent components of physiological tremor. The data consist of simultaneous recordings of tremor acceleration from the third finger, a surface electromyogram (EMG), and the discharges of pairs of single motor units from the extensor digitorum communis (EDC) muscle, collected from 13 subjects, and divided into 2 data sets: 106 records with the finger unloaded and 84 records with added mass from 5 to 40 g. Frequency domain analysis of motor-unit data from individual subjects reveals the presence of two distinct frequency bands in motor-unit synchronization, 1–12 Hz and 15–30 Hz. A novel Fourier-based population analysis demonstrates that the same two rhythmic components are present in motor-unit synchronization across both data sets. These frequency components are not related to motor-unit firing rates. The same frequency bands are present in the correlation between motor-unit activity and tremor and between surface EMG activity and tremor, despite a significant alteration in the characteristics of the tremor with increased inertial loading. A multivariate analysis demonstrates conclusively that motor-unit synchronization is the source of these contributions to normal physiological tremor. The population analysis suggests that single motor-unit discharges can predict an average of 10% of the total tremor signal in these two frequency bands. Rectified surface EMG can predict an average of 20% of the tremor; therefore within our population of recordings, the two components of motor-unit synchronization account for an average of 20% of the total tremor signal, in the frequency ranges 1–12 Hz and 15–30 Hz. Our results demonstrate that normal physiological tremor is a complex signal containing information relating to motor-unit synchronization in different frequency bands, and lead to a revised definition of normal physiological tremor during low force postural contractions, which is based on using both the tremor spectra and the correlation between motor-unit activity and tremor to characterize the load-dependent and the load-independent components of tremor. In addition, both physiological tremor and rectified EMG emerge as powerful predictors of the frequency components of motor-unit synchronization.

Type: Article
Title: Load-Independent Contributions From Motor-Unit Synchronization to Human Physiological Tremor
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1152/jn.1999.82.2.664
Publisher version: https://doi.org/10.1152/jn.1999.82.2.664
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
URI: https://discovery.ucl.ac.uk/id/eprint/10217777
Downloads since deposit
4Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item