Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study

The multiband EPI sequence has been developed for the human connectome project to accelerate MRI data acquisition. However, no study has yet investigated the test-retest (TRT) reliability of the graph metrics of white matter (WM) structural brain networks constructed from this new sequence. Here, we...

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Main Authors:	Zhao, Tengda, Duan, Fei, Liao, Xuhong, Dai, Zhengjia, Cao, Miao, He, Yong, Shu, Ni
Format:	Online
Language:	English
Published:	Frontiers Media S.A. 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330899/

id	pubmed-4330899
recordtype	oai_dc
spelling	pubmed-43308992015-03-04 Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study Zhao, Tengda Duan, Fei Liao, Xuhong Dai, Zhengjia Cao, Miao He, Yong Shu, Ni Neuroscience The multiband EPI sequence has been developed for the human connectome project to accelerate MRI data acquisition. However, no study has yet investigated the test-retest (TRT) reliability of the graph metrics of white matter (WM) structural brain networks constructed from this new sequence. Here, we employed a multiband diffusion MRI (dMRI) dataset with repeated scanning sessions and constructed both low- and high-resolution WM networks by volume- and surface-based parcellation methods. The reproducibility of network metrics and its dependence on type of construction procedures was assessed by the intra-class correlation coefficient (ICC). We observed conserved topological architecture of WM structural networks constructed from the multiband dMRI data as previous findings from conventional dMRI. For the global network properties, the first order metrics were more reliable than second order metrics. Between two parcellation methods, networks with volume-based parcellation showed better reliability than surface-based parcellation, especially for the global metrics. Between different resolutions, the high-resolution network exhibited higher TRT performance than the low-resolution in terms of the global metrics with a large effect size, whereas the low-resolution performs better in terms of local (region and connection) properties with a relatively low effect size. Moreover, we identified that the association and primary cortices showed higher reproducibility than the paralimbic/limbic regions. The important hub regions and rich-club connections are more reliable than the non-hub regions and connections. Finally, we found WM networks from the multiband dMRI showed higher reproducibility compared with those from the conventional dMRI. Together, our results demonstrated the fair to good reliability of the WM structural brain networks from the multiband EPI sequence, suggesting its potential utility for exploring individual differences and for clinical applications. Frontiers Media S.A. 2015-02-17 /pmc/articles/PMC4330899/ /pubmed/25741265 http://dx.doi.org/10.3389/fnhum.2015.00059 Text en Copyright © 2015 Zhao, Duan, Liao, Dai, Cao, He and Shu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Zhao, Tengda Duan, Fei Liao, Xuhong Dai, Zhengjia Cao, Miao He, Yong Shu, Ni
spellingShingle	Zhao, Tengda Duan, Fei Liao, Xuhong Dai, Zhengjia Cao, Miao He, Yong Shu, Ni Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
author_facet	Zhao, Tengda Duan, Fei Liao, Xuhong Dai, Zhengjia Cao, Miao He, Yong Shu, Ni
author_sort	Zhao, Tengda
title	Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
title_short	Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
title_full	Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
title_fullStr	Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
title_full_unstemmed	Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study
title_sort	test-retest reliability of white matter structural brain networks: a multiband diffusion mri study
description	The multiband EPI sequence has been developed for the human connectome project to accelerate MRI data acquisition. However, no study has yet investigated the test-retest (TRT) reliability of the graph metrics of white matter (WM) structural brain networks constructed from this new sequence. Here, we employed a multiband diffusion MRI (dMRI) dataset with repeated scanning sessions and constructed both low- and high-resolution WM networks by volume- and surface-based parcellation methods. The reproducibility of network metrics and its dependence on type of construction procedures was assessed by the intra-class correlation coefficient (ICC). We observed conserved topological architecture of WM structural networks constructed from the multiband dMRI data as previous findings from conventional dMRI. For the global network properties, the first order metrics were more reliable than second order metrics. Between two parcellation methods, networks with volume-based parcellation showed better reliability than surface-based parcellation, especially for the global metrics. Between different resolutions, the high-resolution network exhibited higher TRT performance than the low-resolution in terms of the global metrics with a large effect size, whereas the low-resolution performs better in terms of local (region and connection) properties with a relatively low effect size. Moreover, we identified that the association and primary cortices showed higher reproducibility than the paralimbic/limbic regions. The important hub regions and rich-club connections are more reliable than the non-hub regions and connections. Finally, we found WM networks from the multiband dMRI showed higher reproducibility compared with those from the conventional dMRI. Together, our results demonstrated the fair to good reliability of the WM structural brain networks from the multiband EPI sequence, suggesting its potential utility for exploring individual differences and for clinical applications.
publisher	Frontiers Media S.A.
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330899/
_version_	1613189175860789248

Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study

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