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Statistical Power or More Precise Insights into Neuro-Temporal Dynamics? Assessing the Benefits of Rapid Temporal Sampling in fMRI

Logan T. Dowdle, Geoffrey Ghose, Clark C. C. Chen, Kamil Ugurbil, Essa Yacoub, Luca Vizioli
doi: https://doi.org/10.1101/2021.06.05.447164
Logan T. Dowdle
1Center for Magnetic Resonance Research, University of Minnesota 2021 6th St SE, Minneapolis, MN 55455, United States
2Department of Neurosurgery, University of Minnesota, 500 SE Harvard St, Minneapolis, MN 55455
3Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455
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  • For correspondence: logan.dowdle@gmail.com luca.vizioli1@gmail.com
Geoffrey Ghose
1Center for Magnetic Resonance Research, University of Minnesota 2021 6th St SE, Minneapolis, MN 55455, United States
3Department of Neuroscience, University of Minnesota, 321 Church St SE, Minneapolis, MN 55455
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Clark C. C. Chen
2Department of Neurosurgery, University of Minnesota, 500 SE Harvard St, Minneapolis, MN 55455
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Kamil Ugurbil
1Center for Magnetic Resonance Research, University of Minnesota 2021 6th St SE, Minneapolis, MN 55455, United States
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Essa Yacoub
1Center for Magnetic Resonance Research, University of Minnesota 2021 6th St SE, Minneapolis, MN 55455, United States
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Luca Vizioli
1Center for Magnetic Resonance Research, University of Minnesota 2021 6th St SE, Minneapolis, MN 55455, United States
2Department of Neurosurgery, University of Minnesota, 500 SE Harvard St, Minneapolis, MN 55455
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  • For correspondence: logan.dowdle@gmail.com luca.vizioli1@gmail.com
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Abstract

Functional magnetic resonance imaging (fMRI), a non-invasive and widely used human neuroimaging method, is most known for its spatial precision. However, there is a growing interest in its temporal sensitivity. This is despite the temporal blurring of neuronal events by the blood oxygen level dependent (BOLD) signal, the peak of which lags neuronal firing by 4 to 6 seconds. Given this, the goal of this review is to answer a seemingly simple question – “What are the benefits of increased temporal sampling for fMRI?”. To answer this, we have combined fMRI data collected at multiple temporal scales, from 323 to 1000 milliseconds, with a review of both historical and contemporary temporal literature. After a brief discussion of technological developments that have rekindled interest in temporal research, we next consider the potential statistical and methodological benefits. Most importantly, we explore how fast fMRI can uncover previously unobserved neuro-temporal dynamics – effects that are entirely missed when sampling at conventional 1 to 2 second rates. With the intrinsic link between space and time in fMRI, this temporal renaissance also delivers improvements in spatial precision. Far from producing only statistical gains, the array of benefits suggest that the continued temporal work is worth the effort.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* Joint senior authorship

  • Now includes additional analyses, new sections (ex. EEG/fMRI, line-scanning) and other edits throughout.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted August 05, 2021.
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Statistical Power or More Precise Insights into Neuro-Temporal Dynamics? Assessing the Benefits of Rapid Temporal Sampling in fMRI
Logan T. Dowdle, Geoffrey Ghose, Clark C. C. Chen, Kamil Ugurbil, Essa Yacoub, Luca Vizioli
bioRxiv 2021.06.05.447164; doi: https://doi.org/10.1101/2021.06.05.447164
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Statistical Power or More Precise Insights into Neuro-Temporal Dynamics? Assessing the Benefits of Rapid Temporal Sampling in fMRI
Logan T. Dowdle, Geoffrey Ghose, Clark C. C. Chen, Kamil Ugurbil, Essa Yacoub, Luca Vizioli
bioRxiv 2021.06.05.447164; doi: https://doi.org/10.1101/2021.06.05.447164

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