Cortical plasticity and levodopa-induced dyskinesias in Parkinson's disease-Connecting the dots in a multicomponent network

Roopa Rajan, Traian Popa, Angelo Quartarone, Maria Felice Ghilardi, Asha Kishore

Research output: Contribution to journalReview articlepeer-review


Levodopa-induced dyskinesias are motor complications following long term dopaminergic therapy in Parkinson's disease (PD). Impaired brain plasticity resulting in the creation of aberrant motor maps intended to encode normal voluntary movement is proposed to result in the development of dyskinesias. Traditionally, the various nodes in the motor network like the striato-cortical and the cerebello-thalamic loops were thought to function independent of each other with little communication among them. Anatomical evidence from primates revealed the existence of reciprocal loops between the basal ganglia and the cerebellum providing an anatomical basis for communication between the motor network loops. Dyskinetic PD patients reveal impaired brain plasticity within the motor cortex which may be modulated by cortico-cortical, cerebello-cortical or striato-cortical connections. In this article, we review the evidence for altered plasticity in the multicomponent motor network in the context of levodopa induced dyskinesias in PD. Current evidence suggests a pivotal role for the cerebellum in the larger motor network with the ability to integrate sensorimotor information and independently influence multiple nodes in this network. Targeting the cerebellum seems to be a justified approach for future interventions aimed at attenuating levodopa-induced dyskinesias.

Original languageEnglish
Pages (from-to)992-999
Number of pages8
JournalClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Issue number6
Publication statusPublished - Jun 2017


  • Cerebellum
  • Connectome
  • Corpus Striatum
  • Dyskinesia, Drug-Induced
  • Humans
  • Levodopa
  • Motor Cortex
  • Neuronal Plasticity
  • Parkinson Disease
  • Journal Article
  • Meta-Analysis
  • Review


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