Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks
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Signal fluctuation sensitivity.pdf
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Author(s)
DeDora, Daniel J.
Nedic, Sanja
Katti, Pratha
Arnab, Shafique
Wald, Lawrence
Takahashi, Atsushi
Van Dijk, Koene R. A.
Strey, Helmut H.
Mujica-Parodi, Lilianne R.
Date Issued
May 2016
Journal
Frontiers in Neuroscience
Publisher
Frontiers Media S.A.
Citation
DeDora, Daniel J., Sanja Nedic, Pratha Katti, Shafique Arnab, Lawrence L. Wald, Atsushi Takahashi, Koene R. A. Van Dijk, Helmut H. Strey and Lilianne R. Mujica-Parodi. "Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks." Frontiers in Neuroscience 10:Article 180 (May 2016), pp.1-15.
Version
Final published version
Abstract
Task-free connectivity analyses have emerged as a powerful tool in functional neuroimaging. Because the cross-correlations that underlie connectivity measures are sensitive to distortion of time-series, here we used a novel dynamic phantom to provide a ground truth for dynamic fidelity between blood oxygen level dependent (BOLD)-like inputs and fMRI outputs. We found that the de facto quality-metric for task-free fMRI, temporal signal to noise ratio (tSNR), correlated inversely with dynamic fidelity; thus, studies optimized for tSNR actually produced time-series that showed the greatest distortion of signal dynamics. Instead, the phantom showed that dynamic fidelity is reasonably approximated by a measure that, unlike tSNR, dissociates signal dynamics from scanner artifact. We then tested this measure, signal fluctuation sensitivity (SFS), against human resting-state data. As predicted by the phantom, SFS-and not tSNR-is associated with enhanced sensitivity to both local and long-range connectivity within the brain's default mode network.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.3389/fnins.2016.00180
