Literature DB >> 25226927

Quantitative evaluation of parkinsonian rigidity during intra-operative deep brain stimulation.

Yuri Kwon1, Sang-Hoon Park1, Ji-Won Kim1, Yeji Ho1, Hyeong-Min Jeon1, Min-Jung Bang1, Seong-Beom Koh2, Jong-Hyun Kim3, Gwang-Moon Eom4.   

Abstract

This study aims at the quantification of fine change in parkinsonian rigidity at the wrist during deep brain stimulation (DBS) using a portable measurement system and objective mechanical measures. The rigidity of fourteen limbs was evaluated during DBS surgery. The resistive torque to imposed movement was measured for every setting where a reduction in rigidity was perceived by a neurologist. Quantitative mechanical measures derived from experimental data included viscoelastic properties, work, impulse and mechanical impedance. Most mechanical measures could discriminate the optimal setting from baseline (electrode at stereotactic initial position without electrical stimulation) and the highest significance was achieved by viscous damping constant (p<0.001). Spearman correlation coefficients between mechanical measures and clinical score for multiple settings (averaged for 14 limbs) were 0.51-0.77 and the best correlation was shown for viscosity (ρ=0.77 ± 0.22). The results suggest that intraoperative quantification of rigidity during DBS surgery is possible with the suggested system and measures, which would be helpful for the adjustment of electrode position and stimulation parameters.

Entities:  

Keywords:  DBS surgery; Intraoperative; Parkinson's disease; quantification; rigidity

Mesh:

Year:  2014        PMID: 25226927     DOI: 10.3233/BME-141040

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  8 in total

1.  Deep brain stimulation for Parkinson's disease modulates high-frequency evoked and spontaneous neural activity.

Authors:  Nicholas C Sinclair; Hugh J McDermott; James B Fallon; Thushara Perera; Peter Brown; Kristian J Bulluss; Wesley Thevathasan
Journal:  Neurobiol Dis       Date:  2019-07-02       Impact factor: 5.996

Review 2.  Gait Analysis in Parkinson's Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring.

Authors:  Lazzaro di Biase; Alessandro Di Santo; Maria Letizia Caminiti; Alfredo De Liso; Syed Ahmar Shah; Lorenzo Ricci; Vincenzo Di Lazzaro
Journal:  Sensors (Basel)       Date:  2020-06-22       Impact factor: 3.576

3.  An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson's Disease.

Authors:  Giovanni Albani; Claudia Ferraris; Roberto Nerino; Antonio Chimienti; Giuseppe Pettiti; Federico Parisi; Gianluigi Ferrari; Nicola Cau; Veronica Cimolin; Corrado Azzaro; Lorenzo Priano; Alessandro Mauro
Journal:  Sensors (Basel)       Date:  2019-11-02       Impact factor: 3.576

4.  Stimulation maps: visualization of results of quantitative intraoperative testing for deep brain stimulation surgery.

Authors:  Ashesh Shah; Dorian Vogel; Fabiola Alonso; Jean-Jacques Lemaire; Daniela Pison; Jérôme Coste; Karin Wårdell; Erik Schkommodau; Simone Hemm
Journal:  Med Biol Eng Comput       Date:  2020-01-30       Impact factor: 2.602

5.  iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery.

Authors:  Elodie Múrias Lopes; Maria do Carmo Vilas-Boas; Duarte Dias; Maria José Rosas; Rui Vaz; João Paulo Silva Cunha
Journal:  Sensors (Basel)       Date:  2020-01-07       Impact factor: 3.576

6.  Effect of Age and Body Size on the Wrist's Viscoelasticity in Healthy Participants From 3 to 90 Years Old and Reliability Assessment.

Authors:  Anh Phong Nguyen; Benoit Herman; Philippe Mahaudens; Gauthier Everard; Thibaut Libert; Christine Detrembleur
Journal:  Front Sports Act Living       Date:  2020-04-07

Review 7.  The Current Status of Deep Brain Stimulation for the Treatment of Parkinson Disease in the Republic of Korea.

Authors:  Jung-Il Lee
Journal:  J Mov Disord       Date:  2015-09-10

8.  Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.

Authors:  Josien C van den Noort; Rens Verhagen; Kees J van Dijk; Peter H Veltink; Michelle C P M Vos; Rob M A de Bie; Lo J Bour; Ciska T Heida
Journal:  Ann Biomed Eng       Date:  2017-07-19       Impact factor: 3.934

  8 in total

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