Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?

Functional magnetic resonance imaging (fMRI) has just completed 20 years of existence. It currently serves as a research tool in a broad range of human brain studies in normal and pathological conditions, as is the case of epilepsy. To date, most fMRI studies aimed at characterizing brain activity i...

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Principais autores: Onias, Heloisa, Viol, Aline, Palhano-Fontes, Fernanda, Andrade, Katia C., Sturzbecher, Marcio, Viswanathan, Gandhimohan, Araújo, Dráulio Barros de
Formato: article
Idioma:eng
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Assuntos:
Complex network
Graph
fMRI
Resting state
Epilepsy
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/23219
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spelling ri-123456789-232192021-07-08T18:39:00Z Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy? Onias, Heloisa Viol, Aline Palhano-Fontes, Fernanda Andrade, Katia C. Sturzbecher, Marcio Viswanathan, Gandhimohan Araújo, Dráulio Barros de Complex network Graph fMRI Resting state Epilepsy Functional magnetic resonance imaging (fMRI) has just completed 20 years of existence. It currently serves as a research tool in a broad range of human brain studies in normal and pathological conditions, as is the case of epilepsy. To date, most fMRI studies aimed at characterizing brain activity in response to various active paradigms. More recently, a number of strategies have been used to characterize the low-frequency oscillations of the ongoing fMRI signals when individuals are at rest. These datasets have been largely analyzed in the context of functional connectivity, which inspects the covariance of fMRI signals from different areas of the brain. In addition, resting state fMRI is progressively being used to evaluate complex network features of the brain. These strategies have been applied to a number of different problems in neuroscience, which include diseases such as Alzheimer's, schizophrenia, and epilepsy. Hence, we herein aimed at introducing the subject of complex network and how to use it for the analysis of fMRI data. This appears to be a promising strategy to be used in clinical epilepsy. Therefore, we also review the recent literature that has applied these ideas to the analysis of fMRI data in patients with epilepsy. 2017-05-30T13:00:27Z 2017-05-30T13:00:27Z 2014 article https://repositorio.ufrn.br/jspui/handle/123456789/23219 10.1016/j.yebeh.2013.11.019 eng Acesso Aberto application/pdf
institution Repositório Institucional
collection RI - UFRN
language eng
topic Complex network
Graph
fMRI
Resting state
Epilepsy
spellingShingle Complex network
Graph
fMRI
Resting state
Epilepsy
Onias, Heloisa
Viol, Aline
Palhano-Fontes, Fernanda
Andrade, Katia C.
Sturzbecher, Marcio
Viswanathan, Gandhimohan
Araújo, Dráulio Barros de
Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
description Functional magnetic resonance imaging (fMRI) has just completed 20 years of existence. It currently serves as a research tool in a broad range of human brain studies in normal and pathological conditions, as is the case of epilepsy. To date, most fMRI studies aimed at characterizing brain activity in response to various active paradigms. More recently, a number of strategies have been used to characterize the low-frequency oscillations of the ongoing fMRI signals when individuals are at rest. These datasets have been largely analyzed in the context of functional connectivity, which inspects the covariance of fMRI signals from different areas of the brain. In addition, resting state fMRI is progressively being used to evaluate complex network features of the brain. These strategies have been applied to a number of different problems in neuroscience, which include diseases such as Alzheimer's, schizophrenia, and epilepsy. Hence, we herein aimed at introducing the subject of complex network and how to use it for the analysis of fMRI data. This appears to be a promising strategy to be used in clinical epilepsy. Therefore, we also review the recent literature that has applied these ideas to the analysis of fMRI data in patients with epilepsy.
format article
author Onias, Heloisa
Viol, Aline
Palhano-Fontes, Fernanda
Andrade, Katia C.
Sturzbecher, Marcio
Viswanathan, Gandhimohan
Araújo, Dráulio Barros de
author_facet Onias, Heloisa
Viol, Aline
Palhano-Fontes, Fernanda
Andrade, Katia C.
Sturzbecher, Marcio
Viswanathan, Gandhimohan
Araújo, Dráulio Barros de
author_sort Onias, Heloisa
title Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
title_short Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
title_full Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
title_fullStr Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
title_full_unstemmed Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
title_sort brain complex network analysis by means of resting state fmri and graph analysis: will it be helpful in clinical epilepsy?
publishDate 2017
url https://repositorio.ufrn.br/jspui/handle/123456789/23219
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