Literature DB >> 30877380

Effect of levodopa on handwriting tasks of different complexity in Parkinson's disease: a kinematic study.

Poonam Zham1, Dinesh Kumar2, Rekha Viswanthan1, Kit Wong3, Kanae J Nagao3, Sridhar Poosapadi Arjunan1, Sanjay Raghav1,3, Peter Kempster3.   

Abstract

Levodopa treatment does improve Parkinson's disease (PD) dysgraphia, but previous research is not in agreement about which aspects are most responsive. This study investigated the effect of levodopa on the kinematics of writing. Twenty-four patients with PD of less than 10 years duration and 25 age-matched controls were recruited. A practically defined off state method was used to assess the levodopa motor response, measured on the Unified Parkinson's Disease Rating Scale Part III. The kinematic features for six handwriting tasks involving different levels of complexity were recorded from PD patients in off and on states and from the control group. Levodopa is effective for simple writing activities involving repetition of letters, denoting improved fine motor control. But the same benefit was not seen for copying a sentence and a written category fluency test, tasks that carry memory and cognitive loads. We also found significant differences in kinematic features between control participants and PD patients, for all tasks and in both on and off states. Serial testing of handwriting in patients known to be at risk for developing PD might prove to be an effective biomarker for cell loss in the substantia nigra and the associated dopamine deficiency. We recommend using a panel of writing tasks including sentence copying and memory dependence. Dual-task effects may make these activities more sensitive to early motor deficits, while their weaker levodopa responsiveness would cause them to be more stable indicators of motor progression once symptomatic treatment has been commenced.

Entities:  

Keywords:  Dysgraphia; Kinematic; Levodopa; Parkinson’s disease

Mesh:

Substances:

Year:  2019        PMID: 30877380     DOI: 10.1007/s00415-019-09268-2

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  4 in total

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Authors:  Jean-Baptist du Prel; Bernd Röhrig; Gerhard Hommel; Maria Blettner
Journal:  Dtsch Arztebl Int       Date:  2010-05-14       Impact factor: 5.594

Review 2.  From micrographia to Parkinson's disease dysgraphia.

Authors:  Alban Letanneux; Jeremy Danna; Jean-Luc Velay; François Viallet; Serge Pinto
Journal:  Mov Disord       Date:  2014-08-22       Impact factor: 10.338

3.  Decision support framework for Parkinson's disease based on novel handwriting markers.

Authors:  Peter Drotár; Jiří Mekyska; Irena Rektorová; Lucia Masarová; Zdeněk Smékal; Marcos Faundez-Zanuy
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-09-25       Impact factor: 3.802

4.  The effects of dual tasking on handwriting in patients with Parkinson's disease.

Authors:  S Broeder; E Nackaerts; A Nieuwboer; B C M Smits-Engelsman; S P Swinnen; E Heremans
Journal:  Neuroscience       Date:  2014-01-19       Impact factor: 3.590

  4 in total
  5 in total

1.  Novel insights into the effects of levodopa on the up- and downstrokes of writing sequences.

Authors:  Sanne Broeder; Leonardo Boccuni; Britt Vandendoorent; Geert Verheyden; Raf Meesen; Alice Nieuwboer
Journal:  J Neural Transm (Vienna)       Date:  2022-03-31       Impact factor: 3.850

2.  Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.

Authors:  Zoltan Galaz; Peter Drotar; Jiri Mekyska; Matej Gazda; Jan Mucha; Vojtech Zvoncak; Zdenek Smekal; Marcos Faundez-Zanuy; Reinel Castrillon; Juan Rafael Orozco-Arroyave; Steven Rapcsak; Tamas Kincses; Lubos Brabenec; Irena Rektorova
Journal:  Front Neuroinform       Date:  2022-05-30       Impact factor: 3.739

3.  A Kinematic Study of Progressive Micrographia in Parkinson's Disease.

Authors:  Poonam Zham; Sanjay Raghav; Peter Kempster; Sridhar Poosapadi Arjunan; Kit Wong; Kanae J Nagao; Dinesh K Kumar
Journal:  Front Neurol       Date:  2019-04-24       Impact factor: 4.003

4.  Detecting Effect of Levodopa in Parkinson's Disease Patients Using Sustained Phonemes.

Authors:  Nemuel D Pah; Mohammod A Motin; Peter Kempster; Dinesh K Kumar
Journal:  IEEE J Transl Eng Health Med       Date:  2021-03-17       Impact factor: 3.316

5.  Levodopa improves handwriting and instrumental tasks in previously treated patients with Parkinson's disease.

Authors:  Thomas Müller; Ali Harati
Journal:  J Neural Transm (Vienna)       Date:  2020-08-19       Impact factor: 3.575

  5 in total

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