Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects

Alzheimer's disease (AD) is a neurodegenerative disorder that causes a loss of connections between neurons. The goal of this paper is to construct a complex network model of the brain-electrical activity, using high-density EEG (HD-EEG) recordings, and to compare the network organization in AD,...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 15; H. 1; S. 527 - 536
Hauptverfasser:	Mammone, Nadia, De Salvo, Simona, Bonanno, Lilla, Ieracitano, Cosimo, Marino, Silvia, Marra, Angela, Bramanti, Alessia, Morabito, Francesco C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Alzheimer's disease Alzheimer's disease (AD) Brain brain connectivity Clustering Complex networks Compression tests compressive sensing (CS) decision support Dementia Density Electrodes Electroencephalography healthcare signal processing high-density EEG (HD-EEG) mild cognitive impairment Network analysis Organizations permutation disalignment index Permutations Standards organizations
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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