Advantages of short repetition time resting-state functional MRI enabled by simultaneous multi-slice imaging.

Autor: Jahanian H; Departmment of Radiology, University of Washington, Seattle, WA, United States. Electronic address: hesamj@uw.edu., Holdsworth S; Department of Anatomy and Medical Imaging & Centre for Brain Research, University of Auckland, Auckland, New Zealand., Christen T; Departmment of Radiology, Stanford University, CA, United States., Wu H; Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States., Zhu K; Department of Electrical Engineering, Stanford University, Stanford, CA, United States., Kerr AB; Department of Electrical Engineering, Stanford University, Stanford, CA, United States., Middione MJ; Applied Sciences Laboratory West, GE Healthcare, Menlo Park, CA, United States., Dougherty RF; Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States., Moseley M; Departmment of Radiology, Stanford University, CA, United States., Zaharchuk G; Departmment of Radiology, Stanford University, CA, United States.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2019 Jan 01; Vol. 311, pp. 122-132. Date of Electronic Publication: 2018 Oct 06.
DOI: 10.1016/j.jneumeth.2018.09.033
Abstrakt: Background: Recent advancements in simultaneous multi-slice (SMS) imaging techniques have enabled whole-brain resting-state fMRI (rs-fMRI) scanning at sub-second temporal resolution, providing spectral ranges much wider than the typically used range of 0.01-0.1 Hz. However, the advantages of this accelerated acquisition for rs-fMRI have not been evaluated.
New Method: In this study, we used SMS Echo Planar Imaging (EPI) to probe whole-brain functional connectivity with a short repetition time (TR = 350 ms) and compared it with standard EPI with a longer TR of 2000 ms. We determined the effect of scan length and investigated the temporal filtration strategies that optimize results based on metrics of signal-noise separation and test-retest reliability using both seed-based and independent component analysis (ICA).
Results: We found that use of either the entire frequency range of 0.01-1.4 Hz or the entire frequency range with the exclusion of typical cardiac and respiratory frequency values tended to provide the best functional connectivity maps.
Comparison With Existing Methods: We found that the SMS-acquired rs-fMRI scans had improved the signal-noise separation, while preserving the same level of test-retest reliability compared to conventional EPI, and enabled the detection of reliable functional connectivity networks with scan times as short as 3 min.
Conclusions: Our findings suggest that whole-brain rs-fMRI studies may benefit from the increased temporal resolution enabled by the SMS-EPI acquisition, leading to drastic scan time reductions, which in turn should enable the more widespread use of rs-fMRI in clinical research protocols.
(Copyright © 2018 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: