Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data

Yue Qiu, Qiu Hua Lin, Li Dan Kuang, Xiao Feng Gong, Fengyu Cong, Yu Ping Wang, Vince Daniel Calhoun

Research output: Contribution to journalArticle

Abstract

Spatial source phase, the phase information of spatial maps extracted from functional magnetic resonance imaging (fMRI) data by data-driven methods such as independent component analysis (ICA), has rarely been studied. While the observed phase has been shown to convey unique brain information, the role of spatial source phase in representing the intrinsic activity of the brain is yet not clear. This study explores the spatial source phase for identifying spatial differences between patients with schizophrenia (SZs) and healthy controls (HCs) using complex-valued resting-state fMRI data from 82 individuals. ICA is first applied to preprocess fMRI data, and post-ICA phase de-ambiguity and denoising are then performed. The ability of spatial source phase to characterize spatial differences is examined by the homogeneity of variance test (voxel-wise F-test) with false discovery rate correction. Resampling techniques are performed to ensure that the observations are significant and reliable. We focus on two components of interest widely used in analyzing SZs, including the default mode network (DMN) and auditory cortex. Results show that the spatial source phase exhibits more significant variance changes and higher sensitivity to the spatial differences between SZs and HCs in the anterior areas of DMN and the left auditory cortex, compared to the magnitude of spatial activations. Our findings show that the spatial source phase can potentially serve as a new brain imaging biomarker and provide a novel perspective on differences in SZs compared to HCs, consistent with but extending previous work showing increased variability in patient data.

Original languageEnglish (US)
JournalHuman Brain Mapping
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

Fingerprint

Auditory Cortex
Magnetic Resonance Imaging
Brain
Neuroimaging
Schizophrenia
Biomarkers
Spatial Navigation

Keywords

  • auditory cortex
  • complex-valued fMRI data
  • default mode network
  • independent component analysis
  • resting-state fMRI data
  • schizophrenia
  • spatial source phase

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Cite this

Spatial source phase : A new feature for identifying spatial differences based on complex-valued resting-state fMRI data. / Qiu, Yue; Lin, Qiu Hua; Kuang, Li Dan; Gong, Xiao Feng; Cong, Fengyu; Wang, Yu Ping; Calhoun, Vince Daniel.

In: Human Brain Mapping, 01.01.2019.

Research output: Contribution to journalArticle

@article{50c5e8220b9f466ebc1f3f20b8090ef5,
title = "Spatial source phase: A new feature for identifying spatial differences based on complex-valued resting-state fMRI data",
abstract = "Spatial source phase, the phase information of spatial maps extracted from functional magnetic resonance imaging (fMRI) data by data-driven methods such as independent component analysis (ICA), has rarely been studied. While the observed phase has been shown to convey unique brain information, the role of spatial source phase in representing the intrinsic activity of the brain is yet not clear. This study explores the spatial source phase for identifying spatial differences between patients with schizophrenia (SZs) and healthy controls (HCs) using complex-valued resting-state fMRI data from 82 individuals. ICA is first applied to preprocess fMRI data, and post-ICA phase de-ambiguity and denoising are then performed. The ability of spatial source phase to characterize spatial differences is examined by the homogeneity of variance test (voxel-wise F-test) with false discovery rate correction. Resampling techniques are performed to ensure that the observations are significant and reliable. We focus on two components of interest widely used in analyzing SZs, including the default mode network (DMN) and auditory cortex. Results show that the spatial source phase exhibits more significant variance changes and higher sensitivity to the spatial differences between SZs and HCs in the anterior areas of DMN and the left auditory cortex, compared to the magnitude of spatial activations. Our findings show that the spatial source phase can potentially serve as a new brain imaging biomarker and provide a novel perspective on differences in SZs compared to HCs, consistent with but extending previous work showing increased variability in patient data.",
keywords = "auditory cortex, complex-valued fMRI data, default mode network, independent component analysis, resting-state fMRI data, schizophrenia, spatial source phase",
author = "Yue Qiu and Lin, {Qiu Hua} and Kuang, {Li Dan} and Gong, {Xiao Feng} and Fengyu Cong and Wang, {Yu Ping} and Calhoun, {Vince Daniel}",
year = "2019",
month = "1",
day = "1",
doi = "10.1002/hbm.24551",
language = "English (US)",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",

}

TY - JOUR

T1 - Spatial source phase

T2 - A new feature for identifying spatial differences based on complex-valued resting-state fMRI data

AU - Qiu, Yue

AU - Lin, Qiu Hua

AU - Kuang, Li Dan

AU - Gong, Xiao Feng

AU - Cong, Fengyu

AU - Wang, Yu Ping

AU - Calhoun, Vince Daniel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Spatial source phase, the phase information of spatial maps extracted from functional magnetic resonance imaging (fMRI) data by data-driven methods such as independent component analysis (ICA), has rarely been studied. While the observed phase has been shown to convey unique brain information, the role of spatial source phase in representing the intrinsic activity of the brain is yet not clear. This study explores the spatial source phase for identifying spatial differences between patients with schizophrenia (SZs) and healthy controls (HCs) using complex-valued resting-state fMRI data from 82 individuals. ICA is first applied to preprocess fMRI data, and post-ICA phase de-ambiguity and denoising are then performed. The ability of spatial source phase to characterize spatial differences is examined by the homogeneity of variance test (voxel-wise F-test) with false discovery rate correction. Resampling techniques are performed to ensure that the observations are significant and reliable. We focus on two components of interest widely used in analyzing SZs, including the default mode network (DMN) and auditory cortex. Results show that the spatial source phase exhibits more significant variance changes and higher sensitivity to the spatial differences between SZs and HCs in the anterior areas of DMN and the left auditory cortex, compared to the magnitude of spatial activations. Our findings show that the spatial source phase can potentially serve as a new brain imaging biomarker and provide a novel perspective on differences in SZs compared to HCs, consistent with but extending previous work showing increased variability in patient data.

AB - Spatial source phase, the phase information of spatial maps extracted from functional magnetic resonance imaging (fMRI) data by data-driven methods such as independent component analysis (ICA), has rarely been studied. While the observed phase has been shown to convey unique brain information, the role of spatial source phase in representing the intrinsic activity of the brain is yet not clear. This study explores the spatial source phase for identifying spatial differences between patients with schizophrenia (SZs) and healthy controls (HCs) using complex-valued resting-state fMRI data from 82 individuals. ICA is first applied to preprocess fMRI data, and post-ICA phase de-ambiguity and denoising are then performed. The ability of spatial source phase to characterize spatial differences is examined by the homogeneity of variance test (voxel-wise F-test) with false discovery rate correction. Resampling techniques are performed to ensure that the observations are significant and reliable. We focus on two components of interest widely used in analyzing SZs, including the default mode network (DMN) and auditory cortex. Results show that the spatial source phase exhibits more significant variance changes and higher sensitivity to the spatial differences between SZs and HCs in the anterior areas of DMN and the left auditory cortex, compared to the magnitude of spatial activations. Our findings show that the spatial source phase can potentially serve as a new brain imaging biomarker and provide a novel perspective on differences in SZs compared to HCs, consistent with but extending previous work showing increased variability in patient data.

KW - auditory cortex

KW - complex-valued fMRI data

KW - default mode network

KW - independent component analysis

KW - resting-state fMRI data

KW - schizophrenia

KW - spatial source phase

UR - http://www.scopus.com/inward/record.url?scp=85062340146&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062340146&partnerID=8YFLogxK

U2 - 10.1002/hbm.24551

DO - 10.1002/hbm.24551

M3 - Article

C2 - 30811773

AN - SCOPUS:85062340146

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

ER -