Functional brain connectivity in resting-state fMRI using phase and magnitude data

Functional brain connectivity in resting-state fMRI using phase and magnitude data Article history: Background: The output of BOLD fMRI consists of a pair of magnitude and phase components. While the Received 18 August 2017 magnitude data has been widely accepted for brain function analysis, we can also make use of the phase Received in revised form 16 October 2017 data (unwrapped) since this is a good representation of the internal magnetic field. In this work, we Accepted 18 October 2017 discuss the use of fMRI phase data for brain function analysis. Available online 18 October 2017 New methods: The fMRI phase data taken from 100 subjects are preprocessed using standard SPM approaches. Group independent component analysis (ICA) is applied to the magnitude and phase data Keywords: separately. We then compare the spatial patterns for both magnitude and phase data using an empirical Brain function spatial smoothing procedure. We also evaluate the magnitude and phase functional network connectivity fMRI magnitude (FC) matrices. fMRI phase Results: We observed the positive/negative correlation-balanced functional connectivity in phase data, Connectivity which is distinct from the positive correlation prevalence in magnitude data. The phase FC (pFC) structure Independent component analysis Balanced functional connectivity is quite different from the magnitude FC (mFC) in functional clusters (on-diagonal blocks http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Neuroscience Methods Elsevier

Functional brain connectivity in resting-state fMRI using phase and magnitude data

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0165-0270
eISSN
1872-678X
D.O.I.
10.1016/j.jneumeth.2017.10.016
Publisher site
See Article on Publisher Site

Abstract

Article history: Background: The output of BOLD fMRI consists of a pair of magnitude and phase components. While the Received 18 August 2017 magnitude data has been widely accepted for brain function analysis, we can also make use of the phase Received in revised form 16 October 2017 data (unwrapped) since this is a good representation of the internal magnetic field. In this work, we Accepted 18 October 2017 discuss the use of fMRI phase data for brain function analysis. Available online 18 October 2017 New methods: The fMRI phase data taken from 100 subjects are preprocessed using standard SPM approaches. Group independent component analysis (ICA) is applied to the magnitude and phase data Keywords: separately. We then compare the spatial patterns for both magnitude and phase data using an empirical Brain function spatial smoothing procedure. We also evaluate the magnitude and phase functional network connectivity fMRI magnitude (FC) matrices. fMRI phase Results: We observed the positive/negative correlation-balanced functional connectivity in phase data, Connectivity which is distinct from the positive correlation prevalence in magnitude data. The phase FC (pFC) structure Independent component analysis Balanced functional connectivity is quite different from the magnitude FC (mFC) in functional clusters (on-diagonal blocks

Journal

Journal of Neuroscience MethodsElsevier

Published: Jan 1, 2018

References

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