Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA

Valur Olafsson; Prantik Kundu; Eric C Wong; Peter A Bandettini; Thomas T Liu

doi:10.1016/j.neuroimage.2015.02.052

Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA

Neuroimage. 2015 May 15:112:43-51. doi: 10.1016/j.neuroimage.2015.02.052. Epub 2015 Mar 2.

Authors

Valur Olafsson¹, Prantik Kundu², Eric C Wong³, Peter A Bandettini⁴, Thomas T Liu⁵

Affiliations

¹ Neuroscience Imaging Center, University of Pittsburgh, 3025 E Carson St., Pittsburgh, PA 15203, USA. Electronic address: vto77@pitt.edu.
² Brain Imaging Center, Icahn Institute of Medicine at Mt. Sinai, 1470 Madison Ave., 1st floor, New York, NY 10029, USA; Translational and Molecular Imaging Institute, Icahn Institute of Medicine at Mt. Sinai, 1470 Madison Ave., 1st floor, New York, NY 10029, USA. Electronic address: prantik.kundu@mssm.edu.
³ Center for Functional Magnetic Resonance Imaging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Radiology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
⁴ Section on Functional Imaging Methods, National Institute of Mental Health, 6001 Executive Boulevard, Bethesda, MD, USA; Functional MRI Core Facility, National Institute of Mental Health, 6001 Executive Boulevard, Bethesda, MD, USA.
⁵ Center for Functional Magnetic Resonance Imaging, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Radiology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. Electronic address: ttliu@ucsd.edu.

Abstract

The recent introduction of simultaneous multi-slice (SMS) acquisitions has enabled the acquisition of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) data with significantly higher temporal sampling rates. In a parallel development, the use of multi-echo fMRI acquisitions in conjunction with a multi-echo independent component analysis (ME-ICA) approach has been introduced as a means to automatically distinguish functionally-related BOLD signal components from signal artifacts, with significant gains in sensitivity, statistical power, and specificity. In this work, we examine the gains that can be achieved with a combined approach in which data obtained with a multi-echo simultaneous multi-slice (MESMS) acquisition are analyzed with ME-ICA. We find that ME-ICA identifies significantly more BOLD-like components in the MESMS data as compared to data acquired with a conventional multi-echo single-slice acquisition. We demonstrate that the improved performance of MESMS derives from both an increase in the number of temporal samples and the enhanced ability to filter out high-frequency artifacts.

MeSH terms

Adult
Artifacts
Echo-Planar Imaging / methods*
Echo-Planar Imaging / statistics & numerical data*
Female
Humans
Image Processing, Computer-Assisted / methods*
Image Processing, Computer-Assisted / statistics & numerical data*
Magnetic Resonance Imaging / methods*
Magnetic Resonance Imaging / statistics & numerical data*
Male
Oxygen / blood*
Principal Component Analysis

Substances

Oxygen

Abstract

MeSH terms

Substances

Grants and funding