Post-ICA phase de-noising for resting-state complex-valued FMRI data

Li Dan Kuang, Qiu Hua Lin, Xiao Feng Gong, Fengyu Cong, Vince Daniel Calhoun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Magnitude-only resting-state fMRI data have been largely investigated via independent component analysis (ICA) for exacting spatial maps (SMs) and time courses. However, the native complex-valued fMRI data have rarely been studied. Motivated by the significant improvements achieved by ICA of complex-valued task fMRI data than magnitude-only task fMRI data, we present an efficient method for de-noising SM estimates which makes full use of complex-valued resting-state fMRI data. Our two main contributions include: (1) The first application of a post-ICA phase de-noising method, originally proposed for task fMRI data, to resting-state data, which recognizes voxels within a specific phase range as desired voxels. (2) A new phase range detection strategy for a specific SM component based on correlation with its reference. We continuously change the phase range within a larger range, and compute a set of correlation coefficients between each de-noised SM and its reference. The phase range with the maximal correlation determines the final selection. The detected results by the proposed approach confirm the correctness of the post-ICA phase de-noising method in the analysis of resting-state complex-valued fMRI data.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages856-860
Number of pages5
ISBN (Electronic)9781509041176
DOIs
StatePublished - Jun 16 2017
Externally publishedYes
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: Mar 5 2017Mar 9 2017

Other

Other2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
CountryUnited States
CityNew Orleans
Period3/5/173/9/17

Fingerprint

Independent component analysis
Magnetic Resonance Imaging

Keywords

  • complex-valued fMRI data
  • Independent component analysis (ICA)
  • phase de-noising
  • phase range detection
  • resting-state fMRI data

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Kuang, L. D., Lin, Q. H., Gong, X. F., Cong, F., & Calhoun, V. D. (2017). Post-ICA phase de-noising for resting-state complex-valued FMRI data. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 856-860). [7952277] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2017.7952277

Post-ICA phase de-noising for resting-state complex-valued FMRI data. / Kuang, Li Dan; Lin, Qiu Hua; Gong, Xiao Feng; Cong, Fengyu; Calhoun, Vince Daniel.

2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 856-860 7952277.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kuang, LD, Lin, QH, Gong, XF, Cong, F & Calhoun, VD 2017, Post-ICA phase de-noising for resting-state complex-valued FMRI data. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7952277, Institute of Electrical and Electronics Engineers Inc., pp. 856-860, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 3/5/17. https://doi.org/10.1109/ICASSP.2017.7952277
Kuang LD, Lin QH, Gong XF, Cong F, Calhoun VD. Post-ICA phase de-noising for resting-state complex-valued FMRI data. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 856-860. 7952277 https://doi.org/10.1109/ICASSP.2017.7952277
Kuang, Li Dan ; Lin, Qiu Hua ; Gong, Xiao Feng ; Cong, Fengyu ; Calhoun, Vince Daniel. / Post-ICA phase de-noising for resting-state complex-valued FMRI data. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 856-860
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