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

Content Provider	IEEE Xplore Digital Library
Author	Sanders, T.H. Devergnas, A. Wichmann, T. Clements, M.A.
Copyright Year	2013
Description	Author affiliation: Georgia Inst. of Technol., Atlanta, GA, USA (Sanders, T.H.; Clements, M.A.)
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.
Starting Page	158
Ending Page	161
File Size	635662
Page Count	4
File Format	PDF
ISBN	9781467319690
ISSN	19483554
DOI	10.1109/NER.2013.6695896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Correlation Frequency modulation Animals Satellite broadcasting Electroencephalography
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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