Multiband Multi-Echo Imaging of Simultaneous Oxygenation and Flow Timeseries for Resting State Connectivity
Multiband imaging was combined with with a multi-echo acquisition to collect whole-brain simultaneous pseudo-continuous arterial spin labeling (pCASL) and blood-oxygenation-level dependent (BOLD) echo-planar imaging (MBME ASL/BOLD). Resting-state connectivity in seven 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. These metrics were compared between single echo (E2), multi-echo combined (MEC), multi-echo combined and denoised (MECDN), and perfusion-weighted (PW) timeseries.
- Yang Wang
- R. Marc Lebel
- Andrew S. Nencka
- Alexander D. Cohen
Contact Information:Name: Alexander D. Cohen
Acknowledgements and Funding:
This work was partially supported by a grant from the Daniel M. Soref Charitable Trust. We thank Ajit Shankaranarayanan and Matt Middione from GE Healthcare for providing source code of the GE multiband sequence.
External Publication Links:Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity
GE MR750, DV25
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This data was obtained from the OpenfMRI database. Its accession number is ds000216
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Revision: 1.0.1 Date Set: Oct. 9, 2017, 4:26 a.m.
- Updated filenames to comply with BIDS multi-echo filenaming
- Removed derivatives/mriqc/work
Revision: 1.0.0 Date Set: Jan. 26, 2017, 4:06 p.m.
- Initial Release