Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis

Chih-I Hung, Po-Shan Wang, Bing-Wen Soong, Shin Teng, Jen-Chuen Hsieh () and Yu-Te Wu ()
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Chih-I Hung: National Yang-Ming University
Po-Shan Wang: The Neurological Institute, Taipei Municipal Gan-Dau Hospital
Bing-Wen Soong: National Yang-Ming University School of Medicine
Shin Teng: National Yang-Ming University
Jen-Chuen Hsieh: Veterans General Hospital
Yu-Te Wu: National Yang-Ming University

Chapter Chapter 4 in Computational Neuroscience, 2010, pp 57-74 from Springer

Abstract: Abstract Creutzfeldt–Jakob disease (CJD) is a rare, transmissible, and fatal prion disorder of brain. Typical electroencephalography (EEG) patterns, such as the periodic sharp wave complexes (PSWCs), do not clearly emerge until the middle stage of CJD. To reduce transmission risks and avoid unnecessary treatments, the recognition of the hidden PSWCs’ forerunners from the contaminated EEG signals in the early stage is imperative. In this study, independent component analysis (ICA) was employed on the raw EEG signals recorded at the first admissions of five patients to segregate the co-occurrence of multiple disease-related features, which were difficult to be detected from the smeared EEG. Clear CJD-related waveforms, i.e., frontal intermittent rhythmical delta activity (FIRDA), fore PSWCs (triphasic waves), and periodic lateralized epileptiform discharges (PLEDs), have been successfully and simultaneously resolved from all patients. The ICA results elucidate the concurrent appearance of FIRDA and PLEDs or triphasic waves within the same EEG epoch, which has not been reported in the previous literature. Results show that ICA is an objective and effective means to extract the disease-related patterns for facilitating the early diagnosis of CJD.

Keywords: Independent Component Analysis; Independent Component Analysis; Temporal Waveform; Triphasic Wave; Unmixing Matrix (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-0-387-88630-5_4

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