Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.

<h4>Background</h4>In the graph theoretical analysis of anatomical brain connectivity, the white matter connections between regions of the brain are identified and serve as basis for the assessment of regional connectivity profiles, for example, to locate the hubs of the brain. But regio...

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Autores principales:	Bálint Várkuti, Mustafa Cavusoglu, Alexander Kullik, Björn Schiffler, Ralf Veit, Özge Yilmaz, Wolfgang Rosenstiel, Christoph Braun, Kamil Uludag, Niels Birbaumer, Ranganatha Sitaram
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/27fbe221c6c646ceb44956c98159de59
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spelling	oai:doaj.org-article:27fbe221c6c646ceb44956c98159de592021-11-18T06:55:41ZQuantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.1932-620310.1371/journal.pone.0014801https://doaj.org/article/27fbe221c6c646ceb44956c98159de592011-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21525993/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>In the graph theoretical analysis of anatomical brain connectivity, the white matter connections between regions of the brain are identified and serve as basis for the assessment of regional connectivity profiles, for example, to locate the hubs of the brain. But regions of the brain can be characterised further with respect to their gray matter volume or resting state perfusion. Local anatomical connectivity, gray matter volume and perfusion are traits of each brain region that are likely to be interdependent, however, particular patterns of systematic covariation have not yet been identified.<h4>Methodology/principal findings</h4>We quantified the covariation of these traits by conducting an integrative MRI study on 23 subjects, utilising a combination of Diffusion Tensor Imaging, Arterial Spin Labeling and anatomical imaging. Based on our hypothesis that local connectivity, gray matter volume and perfusion are linked, we correlated these measures and particularly isolated the covariation of connectivity and perfusion by statistically controlling for gray matter volume. We found significant levels of covariation on the group- and regionwise level, particularly in regions of the Default Brain Mode Network.<h4>Conclusions/significance</h4>Connectivity and perfusion are systematically linked throughout a number of brain regions, thus we discuss these results as a starting point for further research on the role of homology in the formation of functional connectivity networks and on how structure/function relationships can manifest in the form of such trait interdependency.Bálint VárkutiMustafa CavusogluAlexander KullikBjörn SchifflerRalf VeitÖzge YilmazWolfgang RosenstielChristoph BraunKamil UludagNiels BirbaumerRanganatha SitaramPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 4, p e14801 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bálint Várkuti Mustafa Cavusoglu Alexander Kullik Björn Schiffler Ralf Veit Özge Yilmaz Wolfgang Rosenstiel Christoph Braun Kamil Uludag Niels Birbaumer Ranganatha Sitaram Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
description	<h4>Background</h4>In the graph theoretical analysis of anatomical brain connectivity, the white matter connections between regions of the brain are identified and serve as basis for the assessment of regional connectivity profiles, for example, to locate the hubs of the brain. But regions of the brain can be characterised further with respect to their gray matter volume or resting state perfusion. Local anatomical connectivity, gray matter volume and perfusion are traits of each brain region that are likely to be interdependent, however, particular patterns of systematic covariation have not yet been identified.<h4>Methodology/principal findings</h4>We quantified the covariation of these traits by conducting an integrative MRI study on 23 subjects, utilising a combination of Diffusion Tensor Imaging, Arterial Spin Labeling and anatomical imaging. Based on our hypothesis that local connectivity, gray matter volume and perfusion are linked, we correlated these measures and particularly isolated the covariation of connectivity and perfusion by statistically controlling for gray matter volume. We found significant levels of covariation on the group- and regionwise level, particularly in regions of the Default Brain Mode Network.<h4>Conclusions/significance</h4>Connectivity and perfusion are systematically linked throughout a number of brain regions, thus we discuss these results as a starting point for further research on the role of homology in the formation of functional connectivity networks and on how structure/function relationships can manifest in the form of such trait interdependency.
format	article
author	Bálint Várkuti Mustafa Cavusoglu Alexander Kullik Björn Schiffler Ralf Veit Özge Yilmaz Wolfgang Rosenstiel Christoph Braun Kamil Uludag Niels Birbaumer Ranganatha Sitaram
author_facet	Bálint Várkuti Mustafa Cavusoglu Alexander Kullik Björn Schiffler Ralf Veit Özge Yilmaz Wolfgang Rosenstiel Christoph Braun Kamil Uludag Niels Birbaumer Ranganatha Sitaram
author_sort	Bálint Várkuti
title	Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
title_short	Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
title_full	Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
title_fullStr	Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
title_full_unstemmed	Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.
title_sort	quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative mri study.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/27fbe221c6c646ceb44956c98159de59
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Quantifying the link between anatomical connectivity, gray matter volume and regional cerebral blood flow: an integrative MRI study.

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