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

研究成果: 雜誌貢獻文章同行評審

4 引文 斯高帕斯(Scopus)


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.
期刊PLoS One
出版狀態已發佈 - 2月 1 2016

ASJC Scopus subject areas

  • 一般農業與生物科學
  • 一般生物化學,遺傳學和分子生物學
  • 一般醫學


深入研究「Physiological contribution in spontaneous oscillations: An approximate quality-assurance index for resting-state fMRI signals」主題。共同形成了獨特的指紋。