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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.1
- 수록면
- 82 - 91 (10page)
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Electroencephalography (EEG) produces time-series data of neural oscillations in the brain, and is one of the most commonly used methods for investigating both normal brain functions and brain disorders. Quantitative EEG analysis enables identification of frequencies and brain activity that are activated or impaired. With studies on the structural and functional networks of the brain, the concept of the brain as a complex network has been fundamental to understand normal brain functions and the pathophysiology of various neurological disorders. Functional connectivity is a measure of neural synchrony in the brain network that refers to the statistical interdependency between neural oscillations over time. In this review, we first discuss the basic methods of EEG analysis, including preprocessing, spectral analysis, and functional-connectivity and graph-theory measures. We then review previous EEG studies of brain network characterization in several neurological disorders, including epilepsy, Alzheimer’s disease, dementia with Lewy bodies, and idiopathic rapid eye movement sleep behavior disorder. Identifying the EEG-based network characteristics might improve the understanding of disease processes and aid the development of novel therapeutic approaches for various neurological disorders.
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참고문헌 (45)
참고문헌 신청
홍승봉 / 2003 / 뇌파의 전기생리학 / 대한신경과학회지 21(3):1~238
Buzsáki G / 2012 / The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes / Nat Rev Neurosci 13:407~420
Buzsáki G / 2004 / Neuronal oscillations in cortical networks / Science 304:1926~1929
Jensen O / 2019 / Magnetoencephalography: from signals to dynamic cortical networks / Springer International Publishing :1~46
Jung KY / 2017 / Art and application of EEG analysis:from basic to clinical research / Daehan Medical Book Publishing :124~145
Buzsáki G / 2012 / The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes / Nat Rev Neurosci 13:407~420
Buzsáki G / 2004 / Neuronal oscillations in cortical networks / Science 304:1926~1929
Jensen O / 2019 / Magnetoencephalography: from signals to dynamic cortical networks / Springer International Publishing :1~46
Jung KY / 2017 / Art and application of EEG analysis:from basic to clinical research / Daehan Medical Book Publishing :124~145
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