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

Zikuan Chen, Arvind Caprihan, Eswar Damaraju, Srinivas Rachakonda, Vince Calhoun

Research output: Research - peer-reviewArticle

Abstract

Background The output of BOLD fMRI consists of a pair of magnitude and phase components. While the magnitude data has been widely accepted for brain function analysis, we can also make use of the phase data (unwrapped) since this is a good representation of the internal magnetic field. In this work, we discuss the use of fMRI phase data for brain function analysis. 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 separately. We then compare the spatial patterns for both magnitude and phase data using an empirical spatial smoothing procedure. We also evaluate the magnitude and phase functional network connectivity (FC) matrices. Results We observed the positive/negative correlation-balanced functional connectivity in phase data, which is distinct from the positive correlation prevalence in magnitude data. The phase FC (pFC) structure is quite different from the magnitude FC (mFC) in functional clusters (on-diagonal blocks or cliques) and inter-cluster couplings (off-diagonal blocks). Comparison with existing Methods since both the magnitude and phase data of the fMRI signals are generated from the same magnetic source, either can be useful for brain function analysis from different perspective (per different measurements). Herein, we report on making use of resting-state fMRI phase data for brain functional analysis in comparison with magnitude data. This exploration in phase fMRI may provide a new arena for more comprehensive brain function analysis.

LanguageEnglish (US)
Pages299-309
Number of pages11
JournalJournal of Neuroscience Methods
Volume293
DOIs
StatePublished - Jan 1 2018

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Magnetic Resonance Imaging
Brain
Magnetic Fields

Keywords

  • Balanced functional connectivity
  • Brain function
  • Connectivity
  • fMRI magnitude
  • fMRI phase
  • Independent component analysis

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Functional brain connectivity in resting-state fMRI using phase and magnitude data. / Chen, Zikuan; Caprihan, Arvind; Damaraju, Eswar; Rachakonda, Srinivas; Calhoun, Vince.

In: Journal of Neuroscience Methods, Vol. 293, 01.01.2018, p. 299-309.

Research output: Research - peer-reviewArticle

Chen, Zikuan ; Caprihan, Arvind ; Damaraju, Eswar ; Rachakonda, Srinivas ; Calhoun, Vince. / Functional brain connectivity in resting-state fMRI using phase and magnitude data. In: Journal of Neuroscience Methods. 2018 ; Vol. 293. pp. 299-309
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