Differences in Levodopa Response for Progressive and Non-Progressive Micrographia in Parkinson's Disease

Poonam Zham1,2, Sridhar A Poosapadi1,3, Peter Kempster4,5

  • 1School of Engineering, RMIT University, Melbourne, VIC, Australia.

Insights

Progressive micrographia in Parkinson's disease (PD) shows less improvement with levodopa treatment compared to non-progressive micrographia. Kinematic analysis reveals distinct drug responses for these PD subtypes.

Area of Science:

  • Neurology
  • Movement Disorders
  • Pharmacology

Background:

  • Micrographia is a common writing impairment in Parkinson's disease (PD).
  • It can be classified as progressive (with a decremental pattern) or non-progressive.
  • The kinematic response of progressive micrographia to levodopa is not well understood.

Purpose of the Study:

  • To investigate and compare the kinematic response to levodopa in progressive micrographia (PD_PM) versus non-progressive micrographia (PD_NPM) in Parkinson's disease patients.

Main Methods:

  • Twenty-four PD patients performed repeated writing tasks on a digital tablet in both an 'off' state and after levodopa administration.
  • Scripts were analyzed to classify patients into PD_PM or PD_NPM based on a 10% decrement in writing features.
  • Levodopa's effect was assessed using MDS-UPDRS motor scores and kinematic writing parameters.

Main Results:

  • Levodopa improved writing speed in both PD_PM and PD_NPM groups, but the improvement was more than twofold greater in the PD_NPM group.
  • Key decremental features (size, speed, pen pressure) in PD_PM were largely unaffected by levodopa.
  • Both groups showed similar motor improvements on the MDS-UPDRS scale.

Conclusions:

  • Progressive micrographia exhibits reduced responsiveness to levodopa compared to non-progressive micrographia.
  • These findings suggest that the sequence effect in PD bradykinesia may be relatively resistant to levodopa.
  • Careful interpretation of micrographia measurements is advised when assessing drug efficacy in PD.