NDLI: Identifying multivariate EEG synchronization networks through multiple subject community detection

Content Provider	IEEE Xplore Digital Library
Author	Bolaños, M.E. Mutlu, A. Aviyente, S. Bernat, E.
Copyright Year	2011
Description	Author affiliation: Florida State University, Department of Psychology, 600 W. College Avenue, Tallahassee, 32306, USA (Bernat, E.) \|\| Michigan State University, Electrical and Computer Engineering, 2120 Engineering Building, East Lansing, 48824, USA (Bolaños, M.E.; Mutlu, A.; Aviyente, S.)
Abstract	In neurophysiological studies, it is important to infer the functional networks underlying the observed physiological data. In recent years, measures of functional connectivity as well as tools from graph theory have characterized the human brain as a complex network composed of segregated modules linked by short path lengths. However, the current studies of functional connectivity focus on either solely quantifying the pairwise relationships or describing the global characteristics of the network using graph theoretic metrics. In order to understand the multivariate relationships within the network, it is important to determine the functional modules underlying the complex networks. Moreover, the study of these functional networks is confounded by the fact that most neurophysiological studies consist of data collected from multiple subjects, thus, it is important to identify functional modules representative of all subjects. We propose a hierarchical consensus spectral clustering approach based on the Fiedler vector to address these issues. Furthermore, measures based on hypothesis testing and information theory are introduced for selecting the optimal modular structure. The proposed framework is applied to EEG data collected during a study of error-related negativity (ERN) to better understand the functional networks involved in cognitive control.
Starting Page	122
Ending Page	126
File Size	222986
Page Count	5
File Format	PDF
ISBN	9781467303217
ISSN	10586393
e-ISBN	9781467303231
DOI	10.1109/ACSSC.2011.6189968
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phase measurement Synchronization Vectors Eigenvalues and eigenfunctions Humans Communities Electroencephalography spectral clustering consensus clustering multivariate signal processing Fiedler vector
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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