NDLI: Partial directed coherence analysis of intracranial neural spikes in epilepsy patients

Content Provider	IEEE Xplore Digital Library
Author	Hsiao-Lung Chan Yu-Tai Tsai Yao-Chung Wang Ju-His Ju Bao-Luen Chang Wu, T. Shih-Tseng Lee Bor-Shyh Lin
Copyright Year	2012
Description	Author affiliation: Dept. of Electr. Eng., Chang Gung Univ., Taoyuan, Taiwan (Hsiao-Lung Chan; Yu-Tai Tsai; Yao-Chung Wang; Ju-His Ju) \|\| Dept. of Neurology, Chang Gung Memorial Hosp., Taoyuan, Taiwan (Bao-Luen Chang; Wu, T.) \|\| Dept. of Neurosurg., Chang Gung Memorial Hosp., Taoyuan, Taiwan (Shih-Tseng Lee) \|\| Inst. of Imaging & Biomed. Photonics, Nat. Chiao Tung Univ., Tainan, Taiwan (Bor-Shyh Lin)
Abstract	Intracranial electroencephalograms (EEG) provide a direct observation of neural activity by placing an electrode array on the cortical surface near the suspected epileptic foci. The neural spikes appeared during inter-ictal stages are mainly produced by abnormal neural discharges from epileptic foci. The topological mapping of spikes' potentials is commonly used to identify the epileptogenic zone. However, the propagations among multi-channel spikes are also important to identify the epileptic source activity. In addition, the changes of source activities in a series of consecutive spikes reveal the time-varying neural activations during discharge process, which provide alternative information for interpreting epileptic source activity. This paper proposes a spike classification based on the similarity of phase-space features to select candidate spikes from the intracranial EEGs recorded from an 8×8 electrocorticogram grid. Then, the partial directed coherence (PDC), which can provide the flow of source activity, at each spiking time point is computed. The outflow PDCs of all electrodes are therefore displayed on the grid. Our result showed that the derived source activities in the preceding spikes had high concentrated distributions but decreased in latter spikes. This implied the epileptic discharges were initially induced by a small-area cortex neurons and then spread out.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5174
Ending Page	5177
File Size	733247
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trajectory Electroencephalography Coherence Electrodes Electric potential Feature extraction Discharges (electric)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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