Work

Canonical correlation to estimate the degree of parkinsonism from local field potential and electroencephalographic signals

Year: 2013

Type: conference-paper

Abstract: In this study, modulation index (MI) features derived from local field potential (LFP) recordings in the subthalamic 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.

Source: International IEEE/EMBS Conference on Neural Engineering

DOI: 10.1109/ner.2013.6695896

Authors: Teresa H. Sanders, Annaelle Devergnas, Thomas Wichmann, Mark A. Clements

Institutions: Georgia Institute of Technology, Emory National Primate Research Center, Emory University

Language: English

Topic: Neurological disorders and treatments

Subfield: Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Center for Research Resources