Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity

Alexander D. Cohen, Andrew S. Nencka, R. Marc Lebel, Yang Wang

Research output: Contribution to journalArticle

6 Citations (Scopus)

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 highresolution 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.

Original languageEnglish (US)
Article numbere0169253
JournalPLoS One
Volume12
Issue number3
DOIs
StatePublished - Mar 1 2017
Externally publishedYes

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Oxygenation
Blood
image analysis
Imaging techniques
blood
Labeling
Cerebrovascular Circulation
Signal-To-Noise Ratio
blood flow
Independent component analysis
Perfusion
Echo-Planar Imaging
Signal to noise ratio
strength (mechanics)
Seeds
Healthy Volunteers
Magnetic Resonance Imaging
Seed
seeds

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity. / Cohen, Alexander D.; Nencka, Andrew S.; Marc Lebel, R.; Wang, Yang.

In: PLoS One, Vol. 12, No. 3, e0169253, 01.03.2017.

Research output: Contribution to journalArticle

Cohen, Alexander D. ; Nencka, Andrew S. ; Marc Lebel, R. ; Wang, Yang. / Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity. In: PLoS One. 2017 ; Vol. 12, No. 3.
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