Complexity of subthalamic 13-35Hz oscillatory activity directly correlates with clinical impairment in patients with Parkinson's disease

Chiung Chu Chen*, Yi Ting Hsu, Hsiao Lung Chan, Shang Ming Chiou, Po Hsun Tu, Shih-Tseng Lee, Chon Haw Tsai, Chin-Song Lu, Peter Brown

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

116 Scopus citations

Abstract

Excessive synchronization of the basal ganglia neuronal activity in the 13- to 35-Hz frequency band, so-called beta activity, has been associated with the motor deficits of Parkinson's disease (PD). Studies have demonstrated that beta activity may be suppressed by treatment with dopaminergic medication and high-frequency stimulation of the subthalamic nucleus (STN), with the degree of suppression correlating with clinical improvement. However, these studies failed to demonstrate any correlation between beta activity of parkinsonism in the resting, untreated state. This argues against a significant relationship between beta activity and motor impairment. Here we use an advanced nonlinear dynamical analysis method based on the Lempel-Ziv estimator to show frequency band and symptom-subset specific correlations between STN local field potential (LFP) complexity and motor impairment in PD patients. Oscillatory activity has a reduced complexity, and we found a strong negative correlation between the complexity of the STN LFP over the 13- to 35-Hz frequency range and akinesia-rigidity. There was no such correlation with tremor. Furthermore, there was no correlation between LFP Lempel-Ziv complexity (LZC) over the 0- to 12-Hz frequency band and any parkinsonian motor impairment. The results strengthen the association between the dynamic structure of synchonised (LFP) activity in the beta frequency band in the STN and akinesia-rigidity.

Original languageEnglish
Pages (from-to)234-240
Number of pages7
JournalExperimental Neurology
Volume224
Issue number1
DOIs
StatePublished - 07 2010

Keywords

  • Deep brain stimulation
  • Lempel-Ziv complexity
  • Parkinson's disease synchronisation
  • Subthalamic nucleus

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