Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
| Autor: | Fernanda Palhano-Fontes, Aline Viol, Gandhimohan. M. Viswanathan, Dráulio Barros de Araújo, Katia C. Andrade, Heloisa Onias, Marcio Sturzbecher |
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| Rok vydání: | 2014 |
| Předmět: |
Power graph analysis
Brain activity and meditation Models Neurological Clinical Neurology behavioral disciplines and activities Graph Behavioral Neuroscience Epilepsy medicine Humans Resting state Complex network analysis Brain Mapping Resting state fMRI medicine.diagnostic_test fMRI Human brain Complex network medicine.disease Magnetic Resonance Imaging medicine.anatomical_structure nervous system Neurology Neurology (clinical) Nerve Net Psychology Functional magnetic resonance imaging Neuroscience |
| Zdroj: | Repositório Institucional da UFRN Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
| ISSN: | 1525-5050 |
| Popis: | Functional magnetic resonance imaging (fMRI) has just completed 20years 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.This article is part of a Special Issue entitled “NEWroscience 2013”. |
| Databáze: | OpenAIRE |
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