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

Frontiers in Human Neuroscience
Tengda ZhaoNi Shu

Abstract

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 ...Continue Reading

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Citations

Jul 2, 2015·Journal of Neuroscience Methods·Shouliang QiPauly Ossenblok
Jun 4, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Adam S BernsteinTheodore P Trouard
Jan 23, 2018·NeuroImage·Zhengwu ZhangHongtu Zhu

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Methods Mentioned

BETA
SMA

Software Mentioned

SPSS
TrackVis
Matlab
Diffusion Toolkit
BrainNet Viewer
SPM
FMRIB Software Library FSL
CIVET
FDT
GRETNA

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