Take a deep breath: Multiecho fMRI denoising effectively removes head motion artifacts, obviating the need for global signal regression

R Nathan Spreng^{1

2

3}, Sara Fernández-Cabello^{4

5

6}, Gary R Turner⁷, W Dale Stevens⁸

Affiliations

¹ Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada; nathan.spreng@gmail.com stevensd@yorku.ca.
² Department of Psychiatry, McGill University, Montreal, QC H3A 2B4, Canada.
³ Department of Psychology, McGill University, Montreal, QC H3A 2B4, Canada.
⁴ Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.
⁵ Centre for Cognitive Neuroscience, University of Salzburg, 5020 Salzburg, Austria.
⁶ Department of Psychology, University of Salzburg, 5020 Salzburg, Austria.
⁷ Department of Psychology, York University, Toronto, ON M3J 1P3, Canada.
⁸ Department of Psychology, York University, Toronto, ON M3J 1P3, Canada nathan.spreng@gmail.com stevensd@yorku.ca.

PMID: 31455744
PMCID: PMC6765232
DOI: 10.1073/pnas.1909848116

Comment

Take a deep breath: Multiecho fMRI denoising effectively removes head motion artifacts, obviating the need for global signal regression

R Nathan Spreng et al. Proc Natl Acad Sci U S A. 2019.

. 2019 Sep 24;116(39):19241-19242.

doi: 10.1073/pnas.1909848116. Epub 2019 Aug 27.

Authors

R Nathan Spreng^{1

2

3}, Sara Fernández-Cabello^{4

5

6}, Gary R Turner⁷, W Dale Stevens⁸

Affiliations

¹ Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada; nathan.spreng@gmail.com stevensd@yorku.ca.
² Department of Psychiatry, McGill University, Montreal, QC H3A 2B4, Canada.
³ Department of Psychology, McGill University, Montreal, QC H3A 2B4, Canada.
⁴ Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.
⁵ Centre for Cognitive Neuroscience, University of Salzburg, 5020 Salzburg, Austria.
⁶ Department of Psychology, University of Salzburg, 5020 Salzburg, Austria.
⁷ Department of Psychology, York University, Toronto, ON M3J 1P3, Canada.
⁸ Department of Psychology, York University, Toronto, ON M3J 1P3, Canada nathan.spreng@gmail.com stevensd@yorku.ca.

PMID: 31455744
PMCID: PMC6765232
DOI: 10.1073/pnas.1909848116

No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

Comment in

Reply to Spreng et al.: Multiecho fMRI denoising does not remove global motion-associated respiratory signals.
Power JD, Lynch CJ, Gilmore AW, Gotts SJ, Martin A. Power JD, et al. Proc Natl Acad Sci U S A. 2019 Sep 24;116(39):19243-19244. doi: 10.1073/pnas.1909852116. Epub 2019 Aug 27. Proc Natl Acad Sci U S A. 2019. PMID: 31455743 Free PMC article. No abstract available.

Comment on

Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data.
Power JD, Plitt M, Gotts SJ, Kundu P, Voon V, Bandettini PA, Martin A. Power JD, et al. Proc Natl Acad Sci U S A. 2018 Feb 27;115(9):E2105-E2114. doi: 10.1073/pnas.1720985115. Epub 2018 Feb 12. Proc Natl Acad Sci U S A. 2018. PMID: 29440410 Free PMC article.

References

1. Power J. D., et al. , Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data. Proc. Natl. Acad. Sci. U.S.A. 115, E2105–E2114 (2018). - PMC - PubMed
1. Bland M., An Introduction to Medical Statistics (Oxford University Press, Oxford, UK, ed. 4, 2015).
1. Button K. S., et al. , Power failure: Why small sample size undermines the reliability of neuroscience. Nat. Rev. Neurosci. 14, 365–376 (2013). - PubMed
1. Yarkoni T., Big correlations in little studies: Inflated fMRI correlations reflect low statistical power—commentary on Vul et al. (2009). Perspect. Psychol. Sci. 4, 294–298 (2009). - PubMed
1. Glasser M. F., et al. , Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power. Neuroimage 197, 435–438 (2019). - PMC - PubMed

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Take a deep breath: Multiecho fMRI denoising effectively removes head motion artifacts, obviating the need for global signal regression

Affiliations

Take a deep breath: Multiecho fMRI denoising effectively removes head motion artifacts, obviating the need for global signal regression

Authors

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