1. Canonical correlation to estimate the degree of parkinsonism from local field potential and electroencephalographic signals
- Author
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Thomas Wichmann, Annaelle Devergnas, Mark A. Clements, and Teresa H. Sanders
- Subjects
medicine.diagnostic_test ,Parkinsonism ,Modulation index ,Wavelet transform ,Local field potential ,Electroencephalography ,medicine.disease ,Degree (music) ,Article ,medicine ,Primary motor cortex ,Canonical correlation ,Psychology ,Neuroscience - Abstract
In this study, modulation index (MI) features derived from local field potential (LFP) recordings in the sub-thalamic nucleus (STN) and electroencephalographic recordings (EEGs) from the primary motor cortex are shown to correlate with both the overall motor impairment and motor subscores in a monkey model of parkinsonism. The MI features used are measures of phase-amplitude cross frequency coupling (CFC) between frequency sub-bands. We used complex wavelet transforms to extract six spectral sub-bands within the 3-60 Hz range from LFP and EEG signals. Using the method of canonical correlation, we show that weighted combinations of the MI features in LFP or EEG signals correlate significantly with individual and composite scores on a scale for parkinsonian disability.
- Published
- 2013
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