EEG Resting-State Brain Topological Reorganization as a Function of Age

المؤلفون المشاركون

Babiloni, Fabio
Mattia, Donatella
Astolfi, Laura
Petti, Manuela
Cincotti, Febo
Toppi, Jlenia

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-02-24

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الأحياء

الملخص 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%.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1099726