Physiological contribution in spontaneous oscillations: An approximate quality-assurance index for resting-state fMRI signals

Ai Ling Hsu, Kun Hsien Chou, Yi Ping Chao, Hsin Ya Fan, Chang-Wei Wu, Jyh Horng Chen

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Resting-state fMRI (rs-fMRI) is receiving substantial attention for its sensitivity to functional abnormality in the brain networks of people with psychiatric and neurological disorders. However, because of the variety of rs-fMRI processing methods, the necessity of rs-fMRI quality assurance is increasing. Conventionally, the temporal signal-to-noise ratio (tSNR) is generally adopted for quality examination, but the tSNR does not guarantee reliable functional connectivity (FC) outcomes. Theoretically, intrinsic FC is supposed to reflect the spontaneous synchronization of neuronal basis, rather than that from thermal noise or nonneuronal physiological noise. Therefore, we proposed a new quality-assurance index for rsfMRI to estimate the physiological contributions in spontaneous oscillations (PICSO). The PICSO index was designed as a voxel-wise measure for facilitating practical applications to all existing rs-fMRI data sets on the basis of two assumptions: Gaussian distributions in temporal fluctuations and ultra-slow changes of neural-based physiological fluctuations. To thoroughly validate the sensitivity of the proposed PICSO index to FC, we calibrated the preprocessing steps according to phantom data and verified the relationship between the PICSO and factors that are considered to affect FC in healthy participants (n = 12). Our results demonstrated that FC showed a significantly positive correlation with the PICSO. Moreover, for generating robust FC outcomes, directly acquiring data at a relatively large voxel size was more effective than performing smoothness on high-resolution data sets. In conclusion, compared with tSNR, the PICSO index is more sensitive to the resulting FC, providing a practical quality-assurance indicator for all existing rs-fMRI data sets.

Original languageEnglish
Article numbere0148393
JournalPLoS One
Volume11
Issue number2
DOIs
Publication statusPublished - Feb 1 2016

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Quality assurance
quality control
oscillation
Magnetic Resonance Imaging
Signal to noise ratio
Signal-To-Noise Ratio
Thermal noise
Gaussian distribution
behavior disorders
nervous system diseases
Brain
processing technology
Synchronization
Normal Distribution
Nervous System Diseases
Psychiatry
brain
heat
Noise
Healthy Volunteers

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Physiological contribution in spontaneous oscillations : An approximate quality-assurance index for resting-state fMRI signals. / Hsu, Ai Ling; Chou, Kun Hsien; Chao, Yi Ping; Fan, Hsin Ya; Wu, Chang-Wei; Chen, Jyh Horng.

In: PLoS One, Vol. 11, No. 2, e0148393, 01.02.2016.

Research output: Contribution to journalArticle

Hsu, Ai Ling ; Chou, Kun Hsien ; Chao, Yi Ping ; Fan, Hsin Ya ; Wu, Chang-Wei ; Chen, Jyh Horng. / Physiological contribution in spontaneous oscillations : An approximate quality-assurance index for resting-state fMRI signals. In: PLoS One. 2016 ; Vol. 11, No. 2.
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