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A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification
Joint Authors
Bernat, Edward
Mutlu, Ali Yener
Aviyente, Selin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In recent years, there has been a growing need to analyze the functional connectivity of the human brain.
Previous studies have focused on extracting static or time-independent functional networks to describe the long-term behavior of brain activity.
However, a static network is generally not sufficient to represent the long term communication patterns of the brain and is considered as an unreliable snapshot of functional connectivity.
In this paper, we propose a dynamic network summarization approach to describe the time-varying evolution of connectivity patterns in functional brain activity.
The proposed approach is based on first identifying key event intervals by quantifying the change in the connectivity patterns across time and then summarizing the activity in each event interval by extracting the most informative network using principal component decomposition.
The proposed method is evaluated for characterizing time-varying network dynamics from event-related potential (ERP) data indexing the error-related negativity (ERN) component related to cognitive control.
The statistically significant connectivity patterns for each interval are presented to illustrate the dynamic nature of functional connectivity.
American Psychological Association (APA)
Mutlu, Ali Yener& Bernat, Edward& Aviyente, Selin. 2012. A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-472629
Modern Language Association (MLA)
Mutlu, Ali Yener…[et al.]. A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-472629
American Medical Association (AMA)
Mutlu, Ali Yener& Bernat, Edward& Aviyente, Selin. A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-472629
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472629