Back to Search Start Over

Inter-vender and test-retest reliabilities of resting-state functional magnetic resonance imaging: Implications for multi-center imaging studies.

Authors :
An, Hyeong Su
Moon, Won-Jin
Ryu, Jae-Kyun
Park, Ju Yeon
Yun, Won Sung
Choi, Jin Woo
Jahng, Geon-Ho
Park, Jang-Yeon
Source :
Magnetic Resonance Imaging (0730725X). Dec2017, Vol. 44, p125-130. 6p.
Publication Year :
2017

Abstract

This prospective multi-center study aimed to evaluate the inter-vendor and test-retest reliabilities of resting-state functional magnetic resonance imaging (RS-fMRI) by assessing the temporal signal-to-noise ratio (tSNR) and functional connectivity. Study included 10 healthy subjects and each subject was scanned using three 3 T MR scanners (GE Signa HDxt, Siemens Skyra, and Philips Achieva) in two sessions. The tSNR was calculated from the time course data. Inter-vendor and test-retest reliabilities were assessed with intra-class correlation coefficients (ICCs) derived from variant component analysis. Independent component analysis was performed to identify the connectivity of the default-mode network (DMN). In result, the tSNR for the DMN was not significantly different among the GE, Philips, and Siemens scanners ( P = 0.638). In terms of vendor differences, the inter-vendor reliability was good (ICC = 0.774). Regarding the test-retest reliability, the GE scanner showed excellent correlation (ICC = 0.961), while the Philips (ICC = 0.671) and Siemens (ICC = 0.726) scanners showed relatively good correlation. The DMN pattern of the subjects between the two sessions for each scanner and between three scanners showed the identical patterns of functional connectivity. The inter-vendor and test-retest reliabilities of RS-fMRI using different 3 T MR scanners are good. Thus, we suggest that RS-fMRI could be used in multicenter imaging studies as a reliable imaging marker. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0730725X
Volume :
44
Database :
Academic Search Index
Journal :
Magnetic Resonance Imaging (0730725X)
Publication Type :
Academic Journal
Accession number :
125923292
Full Text :
https://doi.org/10.1016/j.mri.2017.09.001