NDLI: Cerebral functional connectivity analysis based on scalp EEG in epilepsy patients

Content Provider	IEEE Xplore Digital Library
Author	Zhongjiang Sun Gang Wang Kuo Li Zhonglin Zhang Gang Bao
Copyright Year	2014
Description	Author affiliation: Dept. of Neurosurg., Xi'an Jiaotong Univ., Xian, China (Kuo Li; Zhonglin Zhang; Gang Bao) \|\| Sch. of Life Sci. & Technol., Xi'an Jiaotong Univ., Xian, China (Zhongjiang Sun; Gang Wang)
Abstract	The pathological status of epilepsy can be revealed by the cerebral functional connectivity analysis. The majority of investigations in this field focused on the functional magnetic resonance imaging (fMRI). In consideration of the high temporal resolution of electroencephalogram (EEG) signals, a causality analysis based on the partial directed coherence (PDC) algorithms was applied to explore the cerebral functional connectivity of EEG signals from the perspective of the direction and the intensity of information flow. First of all, the multivariate autoregressive (MVAR) model was established for a moving analysis window. The PDC intensity was then calculated. According to the pathological features of epileptic seizure, the outflow information was regarded as the features of the cerebral functional connectivity based on scalp EEG. At last, the brain electrical activity mapping (BEAM) of outflow information was obtained to compare the physiological features corresponding to different moving windows. The results demonstrated that the intensity and the direction of information flow would be changed before and after the epilepsy seizure onset. The intensity of outflow information was obviously enhanced during seizure onsets and the strongest area was focused on seizure onset zone, which conforms to the clinical prediction and has clear physiological significance. The good intuitive nature and accuracy of the experimental results can provide the basis for the subsequent investigations of seizure detection based on the EEG signals.
Starting Page	283
Ending Page	287
File Size	945727
Page Count	5
File Format	PDF
e-ISBN	9781479958382
DOI	10.1109/BMEI.2014.7002786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges electroencephalograph partial directed coherence epilepsy Pathology Epilepsy Brain modeling Electroencephalography outflow information Clinical diagnosis
Content Type	Text
Resource Type	Article

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