Literature DB >> 12035489

Voluntarily simulated tremor in normal subjects.

Pierre R Burkhard1, J William Langston, James W Tetrud.   

Abstract

Based on the hypothesis that rhythmical, tremor-like movements produced by normal subjects might be influenced by similar central oscillatory neuronal networks believed to determine the features of the pathologic tremors of Parkinson's disease (PD) or Essential Tremor (ET) patients, we examined the neurophysiological characteristics of a tremor mimicked by normal volunteers and compare this data with those from PD or ET tremors. Voluntarily simulated tremor (VST) was studied in 47 neurologically intact subjects, resting tremor in 10 patients with PD and postural tremor in 10 patients with ET. Using a tremor analysis system based on a solid state gyroscopic sensor sensitive to angular rate, the following parameters were determined: frequency, amplitude (angular displacement) and regularity (Q coefficient of constancy). We also performed an inertial loading test and a test-retest analysis. Nearly all normal subjects were able to simulate a tremor that was indistinguishable, in frequency and regularity, from that of PD or ET, although the amplitude was significantly higher in normal subjects. As in pathological tremors, the VST frequency was significantly influenced by age, but not by gender, handedness or previous knowledge of tremor. Inertial load did not modify the tremor frequency, suggesting that mechanical factors were minor. We also found a logarithmic inverse relationship between frequency and amplitude of the VST. We concluded that VST shares many similarities with pathological tremors. It is therefore possible that all tremors are somehow influenced by the same central oscillators which may become disinhibited and clinically apparent in pathological conditions such as PD or ET.

Entities:  

Mesh:

Year:  2002        PMID: 12035489     DOI: 10.1016/s0987-7053(02)00296-4

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  7 in total

1.  Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease.

Authors:  Jhielson M Pimentel; Renan C Moioli; Mariana F P de Araujo; Caetano M Ranieri; Roseli A F Romero; Frank Broz; Patricia A Vargas
Journal:  Front Neurorobot       Date:  2021-07-01       Impact factor: 2.650

2.  The cerebral oscillatory network of voluntary tremor.

Authors:  Bettina Pollok; Joachim Gross; Martin Dirks; Lars Timmermann; Alfons Schnitzler
Journal:  J Physiol       Date:  2003-11-28       Impact factor: 5.182

3.  Evaluation of the leap motion controller as a new contact-free pointing device.

Authors:  Daniel Bachmann; Frank Weichert; Gerhard Rinkenauer
Journal:  Sensors (Basel)       Date:  2014-12-24       Impact factor: 3.576

4.  Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit.

Authors:  Houde Dai; Pengyue Zhang; Tim C Lueth
Journal:  Sensors (Basel)       Date:  2015-09-29       Impact factor: 3.576

5.  Quantitative Assessment of the Arm/Hand Movements in Parkinson's Disease Using a Wireless Armband Device.

Authors:  Sofija Spasojević; Tihomir V Ilić; Ivan Stojković; Veljko Potkonjak; Aleksandar Rodić; José Santos-Victor
Journal:  Front Neurol       Date:  2017-08-11       Impact factor: 4.003

6.  A low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease.

Authors:  Gregory Neal McKay; Timothy P Harrigan; James Robert Brašić
Journal:  MethodsX       Date:  2019-01-04

7.  Analysis of the accuracy and robustness of the leap motion controller.

Authors:  Frank Weichert; Daniel Bachmann; Bartholomäus Rudak; Denis Fisseler
Journal:  Sensors (Basel)       Date:  2013-05-14       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.