Literature DB >> 15627605

Complex fMRI analysis with unrestricted phase is equivalent to a magnitude-only model.

Daniel B Rowe1, Brent R Logan.   

Abstract

Due to phase imperfections, voxel time course measurements are complex valued. However, most fMRI studies measure activation using magnitude-only time courses. We show that magnitude-only analyses are equivalent to a complex fMRI activation model in which the phase is unrestricted, or allowed to dynamically change over time. This suggests that improvements to the magnitude-only model are possible by modeling the phase in each voxel over time.

Mesh:

Year:  2004        PMID: 15627605     DOI: 10.1016/j.neuroimage.2004.09.038

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  17 in total

1.  Macrovascular contribution in activation patterns of working memory.

Authors:  Dardo G Tomasi; Elisabeth C Caparelli
Journal:  J Cereb Blood Flow Metab       Date:  2006-04-12       Impact factor: 6.200

2.  Characterizing phase-only fMRI data with an angular regression model.

Authors:  Daniel B Rowe; Christopher P Meller; Raymond G Hoffmann
Journal:  J Neurosci Methods       Date:  2006-12-08       Impact factor: 2.390

3.  Signal and noise of Fourier reconstructed fMRI data.

Authors:  Daniel B Rowe; Andrew S Nencka; Raymond G Hoffmann
Journal:  J Neurosci Methods       Date:  2006-09-01       Impact factor: 2.390

4.  Magnitude and phase signal detection in complex-valued fMRI data.

Authors:  Daniel B Rowe
Journal:  Magn Reson Med       Date:  2009-11       Impact factor: 4.668

5.  Enhancing the utility of complex-valued functional magnetic resonance imaging detection of neurobiological processes through postacquisition estimation and correction of dynamic B(0) errors and motion.

Authors:  Andrew D Hahn; Andrew S Nencka; Daniel B Rowe
Journal:  Hum Brain Mapp       Date:  2011-02-08       Impact factor: 5.038

6.  Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST).

Authors:  Andrew D Hahn; Andrew S Nencka; Daniel B Rowe
Journal:  Neuroimage       Date:  2008-10-18       Impact factor: 6.556

7.  Functional magnetic resonance imaging brain activation directly from k-space.

Authors:  Daniel B Rowe; Andrew D Hahn; Andrew S Nencka
Journal:  Magn Reson Imaging       Date:  2009-07-15       Impact factor: 2.546

8.  Regression Models for Identifying Noise Sources in Magnetic Resonance Images.

Authors:  Hongtu Zhu; Yimei Li; Joseph G Ibrahim; Xiaoyan Shi; Hongyu An; Yashen Chen; Wei Gao; Weili Lin; Daniel B Rowe; Bradley S Peterson
Journal:  J Am Stat Assoc       Date:  2009-06-01       Impact factor: 5.033

9.  Complex-valued analysis of arterial spin labeling-based functional magnetic resonance imaging signals.

Authors:  Luis Hernandez-Garcia; Alberto L Vazquez; Daniel B Rowe
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

Review 10.  Methods for cleaning the BOLD fMRI signal.

Authors:  César Caballero-Gaudes; Richard C Reynolds
Journal:  Neuroimage       Date:  2016-12-09       Impact factor: 6.556

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