Literature DB >> 19720411

A computational model of Parkinsonian handwriting that highlights the role of the indirect pathway in the basal ganglia.

G Gangadhar1, D Joseph, A V Srinivasan, D Subramanian, R G Shivakeshavan, N Shobana, V S Chakravarthy.   

Abstract

Parkinsonian handwriting is typically characterized by micrographia, jagged line contour, and unusual fluctuations in pen velocity. In this paper we present a computational model of handwriting generation that highlights the role of the basal ganglia, particularly the indirect pathway. Whereas reduced dopamine levels resulted in reduced letter size, transition of STN-GPe dynamics from desynchronized (normal) to synchronized (PD) condition resulted in increased fluctuations in velocity in the model. We also present handwriting data from PD patients (n=34) who are at various stages of disease and had taken medication various lengths of time before the handwriting sessions. The patient data are compared with those of age-matched controls. PD handwriting statistically exhibited smaller size and larger velocity fluctuation compared to normal handwriting.

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Year:  2009        PMID: 19720411     DOI: 10.1016/j.humov.2009.07.008

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  6 in total

1.  An integrative model of Parkinson's disease treatment including levodopa pharmacokinetics, dopamine kinetics, basal ganglia neurotransmission and motor action throughout disease progression.

Authors:  Florence Véronneau-Veilleux; Philippe Robaey; Mauro Ursino; Fahima Nekka
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-10-21       Impact factor: 2.745

Review 2.  A review of presented mathematical models in Parkinson's disease: black- and gray-box models.

Authors:  Yashar Sarbaz; Hakimeh Pourakbari
Journal:  Med Biol Eng Comput       Date:  2015-11-07       Impact factor: 2.602

3.  On the relationship among different motor processes: a computational modeling approach.

Authors:  Ahmed A Moustafa
Journal:  Front Comput Neurosci       Date:  2015-03-18       Impact factor: 2.380

4.  Computational model of precision grip in Parkinson's disease: a utility based approach.

Authors:  Ankur Gupta; Pragathi P Balasubramani; V Srinivasa Chakravarthy
Journal:  Front Comput Neurosci       Date:  2013-12-02       Impact factor: 2.380

Review 5.  Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models.

Authors:  Sebastien Helie; Srinivasa Chakravarthy; Ahmed A Moustafa
Journal:  Front Comput Neurosci       Date:  2013-12-06       Impact factor: 2.380

6.  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

  6 in total

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