EEG Resting-State Brain Topological Reorganization as a Function of Age
Joint Authors
Babiloni, Fabio
Mattia, Donatella
Astolfi, Laura
Petti, Manuela
Cincotti, Febo
Toppi, Jlenia
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Resting state connectivity has been increasingly studied to investigate the effects of aging on the brain.
A reduced organization in the communication between brain areas was demonstrated by combining a variety of different imaging technologies (fMRI, EEG, and MEG) and graph theory.
In this paper, we propose a methodology to get new insights into resting state connectivity and its variations with age, by combining advanced techniques of effective connectivity estimation, graph theoretical approach, and classification by SVM method.
We analyzed high density EEG signals recorded at rest from 71 healthy subjects (age: 20–63 years).
Weighted and directed connectivity was computed by means of Partial Directed Coherence based on a General Linear Kalman filter approach.
To keep the information collected by the estimator, weighted and directed graph indices were extracted from the resulting networks.
A relation between brain network properties and age of the subject was found, indicating a tendency of the network to randomly organize increasing with age.
This result is also confirmed dividing the whole population into two subgroups according to the age (young and middle-aged adults): significant differences exist in terms of network organization measures.
Classification of the subjects by means of such indices returns an accuracy greater than 80%.
American Psychological Association (APA)
Petti, Manuela& Toppi, Jlenia& Babiloni, Fabio& Cincotti, Febo& Mattia, Donatella& Astolfi, Laura. 2016. EEG Resting-State Brain Topological Reorganization as a Function of Age. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099726
Modern Language Association (MLA)
Petti, Manuela…[et al.]. EEG Resting-State Brain Topological Reorganization as a Function of Age. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099726
American Medical Association (AMA)
Petti, Manuela& Toppi, Jlenia& Babiloni, Fabio& Cincotti, Febo& Mattia, Donatella& Astolfi, Laura. EEG Resting-State Brain Topological Reorganization as a Function of Age. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099726
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099726