Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.

<h4>Background</h4>The human brain is a highly complex system that can be represented as a structurally interconnected and functionally synchronized network, which assures both the segregation and integration of information processing. Recent studies have demonstrated that a variety of n...

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Autores principales:	Haijing Niu, Jinhui Wang, Tengda Zhao, Ni Shu, Yong He
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bc2137bddac346a8bc8c048c3bd35448
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spelling	oai:doaj.org-article:bc2137bddac346a8bc8c048c3bd354482021-11-18T07:04:20ZRevealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.1932-620310.1371/journal.pone.0045771https://doaj.org/article/bc2137bddac346a8bc8c048c3bd354482012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23029235/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The human brain is a highly complex system that can be represented as a structurally interconnected and functionally synchronized network, which assures both the segregation and integration of information processing. Recent studies have demonstrated that a variety of neuroimaging and neurophysiological techniques such as functional magnetic resonance imaging (MRI), diffusion MRI and electroencephalography/magnetoencephalography can be employed to explore the topological organization of human brain networks. However, little is known about whether functional near infrared spectroscopy (fNIRS), a relatively new optical imaging technology, can be used to map functional connectome of the human brain and reveal meaningful and reproducible topological characteristics.<h4>Results</h4>We utilized resting-state fNIRS (R-fNIRS) to investigate the topological organization of human brain functional networks in 15 healthy adults. Brain networks were constructed by thresholding the temporal correlation matrices of 46 channels and analyzed using graph-theory approaches. We found that the functional brain network derived from R-fNIRS data had efficient small-world properties, significant hierarchical modular structure and highly connected hubs. These results were highly reproducible both across participants and over time and were consistent with previous findings based on other functional imaging techniques.<h4>Conclusions</h4>Our results confirmed the feasibility and validity of using graph-theory approaches in conjunction with optical imaging techniques to explore the topological organization of human brain networks. These results may expand a methodological framework for utilizing fNIRS to study functional network changes that occur in association with development, aging and neurological and psychiatric disorders.Haijing NiuJinhui WangTengda ZhaoNi ShuYong HePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e45771 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Haijing Niu Jinhui Wang Tengda Zhao Ni Shu Yong He Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
description	<h4>Background</h4>The human brain is a highly complex system that can be represented as a structurally interconnected and functionally synchronized network, which assures both the segregation and integration of information processing. Recent studies have demonstrated that a variety of neuroimaging and neurophysiological techniques such as functional magnetic resonance imaging (MRI), diffusion MRI and electroencephalography/magnetoencephalography can be employed to explore the topological organization of human brain networks. However, little is known about whether functional near infrared spectroscopy (fNIRS), a relatively new optical imaging technology, can be used to map functional connectome of the human brain and reveal meaningful and reproducible topological characteristics.<h4>Results</h4>We utilized resting-state fNIRS (R-fNIRS) to investigate the topological organization of human brain functional networks in 15 healthy adults. Brain networks were constructed by thresholding the temporal correlation matrices of 46 channels and analyzed using graph-theory approaches. We found that the functional brain network derived from R-fNIRS data had efficient small-world properties, significant hierarchical modular structure and highly connected hubs. These results were highly reproducible both across participants and over time and were consistent with previous findings based on other functional imaging techniques.<h4>Conclusions</h4>Our results confirmed the feasibility and validity of using graph-theory approaches in conjunction with optical imaging techniques to explore the topological organization of human brain networks. These results may expand a methodological framework for utilizing fNIRS to study functional network changes that occur in association with development, aging and neurological and psychiatric disorders.
format	article
author	Haijing Niu Jinhui Wang Tengda Zhao Ni Shu Yong He
author_facet	Haijing Niu Jinhui Wang Tengda Zhao Ni Shu Yong He
author_sort	Haijing Niu
title	Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
title_short	Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
title_full	Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
title_fullStr	Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
title_full_unstemmed	Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
title_sort	revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/bc2137bddac346a8bc8c048c3bd35448
work_keys_str_mv	AT haijingniu revealingtopologicalorganizationofhumanbrainfunctionalnetworkswithrestingstatefunctionalnearinfraredspectroscopy AT jinhuiwang revealingtopologicalorganizationofhumanbrainfunctionalnetworkswithrestingstatefunctionalnearinfraredspectroscopy AT tengdazhao revealingtopologicalorganizationofhumanbrainfunctionalnetworkswithrestingstatefunctionalnearinfraredspectroscopy AT nishu revealingtopologicalorganizationofhumanbrainfunctionalnetworkswithrestingstatefunctionalnearinfraredspectroscopy AT yonghe revealingtopologicalorganizationofhumanbrainfunctionalnetworkswithrestingstatefunctionalnearinfraredspectroscopy
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Revealing topological organization of human brain functional networks with resting-state functional near infrared spectroscopy.

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