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Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity. PLoS One 2017;12(3):e0169253

Date

03/03/2017

Pubmed ID

28253268

Pubmed Central ID

PMC5333818

DOI

10.1371/journal.pone.0169253

Scopus ID

2-s2.0-85014501585 (requires institutional sign-in at Scopus site)   17 Citations

Abstract

A novel sequence has been introduced that combines multiband imaging with a multi-echo acquisition for simultaneous high spatial resolution pseudo-continuous arterial spin labeling (ASL) and blood-oxygenation-level dependent (BOLD) echo-planar imaging (MBME ASL/BOLD). Resting-state connectivity in healthy adult subjects was assessed using this sequence. Four echoes were acquired with a multiband acceleration of four, in order to increase spatial resolution, shorten repetition time, and reduce slice-timing effects on the ASL signal. In addition, by acquiring four echoes, advanced multi-echo independent component analysis (ME-ICA) denoising could be employed to increase the signal-to-noise ratio (SNR) and BOLD sensitivity. Seed-based and dual-regression approaches were utilized to analyze functional connectivity. Cerebral blood flow (CBF) and BOLD coupling was also evaluated by correlating the perfusion-weighted timeseries with the BOLD timeseries. These metrics were compared between single echo (E2), multi-echo combined (MEC), multi-echo combined and denoised (MECDN), and perfusion-weighted (PW) timeseries. Temporal SNR increased for the MECDN data compared to the MEC and E2 data. Connectivity also increased, in terms of correlation strength and network size, for the MECDN compared to the MEC and E2 datasets. CBF and BOLD coupling was increased in major resting-state networks, and that correlation was strongest for the MECDN datasets. These results indicate our novel MBME ASL/BOLD sequence, which collects simultaneous high-resolution ASL/BOLD data, could be a powerful tool for detecting functional connectivity and dynamic neurovascular coupling during the resting state. The collection of more than two echoes facilitates the use of ME-ICA denoising to greatly improve the quality of resting state functional connectivity MRI.

Author List

Cohen AD, Nencka AS, Lebel RM, Wang Y

Authors

Andrew S. Nencka PhD Director, Associate Professor in the Radiology department at Medical College of Wisconsin
Yang Wang MD Professor in the Radiology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Adult
Brain
Brain Mapping
Cerebral Arteries
Cerebrovascular Circulation
Echo-Planar Imaging
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Nerve Net
Oxygen
Rest
Time Factors
Young Adult