Literature DB >> 30363442

Quantitative Measurement of Akinesia in Parkinson's Disease.

Lissette Lalvay1, Miguel Lara1, Andrea Mora1, Fernando Alarcón1, Manuel Fraga2, Jesús Pancorbo2, José Luis Marina2, María Ángeles Mena3,4, Jose Luis Lopez Sendón5, Justo García de Yébenes1,3,4.   

Abstract

BACKGROUND: There is great interest in developing simple, user-friendly, and inexpensive tools for the quantification and elucidation of motor deficits in patients with Parkinson's disease (PD). These systems could help to monitor the clinical status of patients with PD, to develop better treatments, and to identify individuals who have subtle motor signs that might pass unnoticed in the conventional neurological examination.
METHODS: Mememtum, a smartphone application that allows for the quantification of several parameters of movement, such as regularity, rhythm, and changes in the number of taps while taping with a single finger and with alternating fingers, was developed and then tested in a pilot study in Madrid and in an extensive study in Quito, Ecuador.
RESULTS: Almost all patients could successfully perform single-finger tapping, but approximately 10% of patients with severe parkinsonism had problems taping with alternating fingers. The results revealed changes in the regularity of the pressure applied while tapping and a reduction in the number of taps on the device screen when alternating tapping among patients who had idiopathic PD and vascular parkinsonism compared with controls and individuals who had prediagnostic motor abnormalities of PD.
CONCLUSION: Applications available in smartphones could be used for investigation and treatment of patients with PD, but much research is needed to optimize the ideal parameters to be investigated and the potential usefulness of this technique for patients with PD in different stages of the disease.

Entities:  

Keywords:  Parkinson's disease; akinesia; finger tapping; mobile phones

Year:  2016        PMID: 30363442      PMCID: PMC6174408          DOI: 10.1002/mdc3.12410

Source DB:  PubMed          Journal:  Mov Disord Clin Pract        ISSN: 2330-1619


  29 in total

1.  Validation for tremor quantification of an electromagnetic tracking device.

Authors:  P E O'Suilleabhain; R B Dewey
Journal:  Mov Disord       Date:  2001-03       Impact factor: 10.338

2.  Detecting and monitoring the symptoms of Parkinson's disease using smartphones: A pilot study.

Authors:  S Arora; V Venkataraman; A Zhan; S Donohue; K M Biglan; E R Dorsey; M A Little
Journal:  Parkinsonism Relat Disord       Date:  2015-03-07       Impact factor: 4.891

3.  Measuring tremor with a smartphone.

Authors:  Benoit Carignan; Jean-François Daneault; Christian Duval
Journal:  Methods Mol Biol       Date:  2015

4.  Parkinsonism: onset, progression and mortality.

Authors:  M M Hoehn; M D Yahr
Journal:  Neurology       Date:  1967-05       Impact factor: 9.910

5.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

Authors:  A J Hughes; S E Daniel; L Kilford; A J Lees
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-03       Impact factor: 10.154

6.  The modified bradykinesia rating scale for Parkinson's disease: reliability and comparison with kinematic measures.

Authors:  Dustin A Heldman; Joseph P Giuffrida; Robert Chen; Megan Payne; Filomena Mazzella; Andrew P Duker; Alok Sahay; Sang Jin Kim; Fredy J Revilla; Alberto J Espay
Journal:  Mov Disord       Date:  2011-04-29       Impact factor: 10.338

7.  Quantitative tremor measurement with the computerized analysis of spiral drawing.

Authors:  Monika Rudzińska; Andrzej Izworski; Krzysztof Banaszkiewicz; Sylwia Bukowczan; Monika Marona; Andrzej Szczudlik
Journal:  Neurol Neurochir Pol       Date:  2007 Nov-Dec       Impact factor: 1.621

Review 8.  The prevalence of Parkinson's disease: a systematic review and meta-analysis.

Authors:  Tamara Pringsheim; Nathalie Jette; Alexandra Frolkis; Thomas D L Steeves
Journal:  Mov Disord       Date:  2014-06-28       Impact factor: 10.338

9.  Smartphone- and internet-assisted self-management and adherence tools to manage Parkinson's disease (SMART-PD): study protocol for a randomised controlled trial (v7; 15 August 2014).

Authors:  Rashmi Lakshminarayana; Duolao Wang; David Burn; K Ray Chaudhuri; Gemma Cummins; Clare Galtrey; Bruce Hellman; Suvankar Pal; Jon Stamford; Malcolm Steiger; Adrian Williams
Journal:  Trials       Date:  2014-09-25       Impact factor: 2.279

10.  PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.

Authors:  Alexandros T Tzallas; Markos G Tsipouras; Georgios Rigas; Dimitrios G Tsalikakis; Evaggelos C Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I Fotiadis
Journal:  Sensors (Basel)       Date:  2014-11-11       Impact factor: 3.576

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  6 in total

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Journal:  NPJ Digit Med       Date:  2020-01-15

Review 2.  Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Authors:  Jamie L Adams; Karlo J Lizarraga; Emma M Waddell; Taylor L Myers; Stella Jensen-Roberts; Joseph S Modica; Ruth B Schneider
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-03       Impact factor: 6.030

3.  Video-based quantification of human movement frequency using pose estimation: A pilot study.

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Journal:  PLoS One       Date:  2021-12-20       Impact factor: 3.240

4.  Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson's disease.

Authors:  Florian Lipsmeier; Kirsten I Taylor; Ronald B Postuma; Ekaterina Volkova-Volkmar; Timothy Kilchenmann; Brit Mollenhauer; Atieh Bamdadian; Werner L Popp; Wei-Yi Cheng; Yan-Ping Zhang; Detlef Wolf; Jens Schjodt-Eriksen; Anne Boulay; Hanno Svoboda; Wagner Zago; Gennaro Pagano; Michael Lindemann
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

5.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

6.  Touchscreen-based finger tapping: Repeatability and configuration effects on tapping performance.

Authors:  Soma Makai-Bölöni; Eva Thijssen; Emilie M J van Brummelen; Geert J Groeneveld; Robert J Doll
Journal:  PLoS One       Date:  2021-12-07       Impact factor: 3.240

  6 in total

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