Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI

Anders Eklund^{1

2

3}, Thomas E Nichols^{4

5}, Hans Knutsson^{6

3}

Affiliations

¹ Division of Medical Informatics, Department of Biomedical Engineering, Linköping University, S-581 85 Linköping, Sweden; anders.eklund@liu.se.
² Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, S-581 83 Linköping, Sweden.
³ Center for Medical Image Science and Visualization, Linköping University, S-581 83 Linköping, Sweden.
⁴ Department of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom.
⁵ WMG, University of Warwick, Coventry CV4 7AL, United Kingdom.
⁶ Division of Medical Informatics, Department of Biomedical Engineering, Linköping University, S-581 85 Linköping, Sweden.

PMID: 28420795
PMCID: PMC5410782
DOI: 10.1073/pnas.1620285114

Comment

Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI

Anders Eklund et al. Proc Natl Acad Sci U S A. 2017.

. 2017 Apr 25;114(17):E3374-E3375.

doi: 10.1073/pnas.1620285114. Epub 2017 Apr 18.

Authors

Anders Eklund^{1

2

3}, Thomas E Nichols^{4

5}, Hans Knutsson^{6

3}

Affiliations

¹ Division of Medical Informatics, Department of Biomedical Engineering, Linköping University, S-581 85 Linköping, Sweden; anders.eklund@liu.se.
² Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, S-581 83 Linköping, Sweden.
³ Center for Medical Image Science and Visualization, Linköping University, S-581 83 Linköping, Sweden.
⁴ Department of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom.
⁵ WMG, University of Warwick, Coventry CV4 7AL, United Kingdom.
⁶ Division of Medical Informatics, Department of Biomedical Engineering, Linköping University, S-581 85 Linköping, Sweden.

PMID: 28420795
PMCID: PMC5410782
DOI: 10.1073/pnas.1620285114

No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Comment on

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
Eklund A, Nichols TE, Knutsson H. Eklund A, et al. Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7900-5. doi: 10.1073/pnas.1602413113. Epub 2016 Jun 28. Proc Natl Acad Sci U S A. 2016. PMID: 27357684 Free PMC article.
Reevaluating "cluster failure" in fMRI using nonparametric control of the false discovery rate.
Kessler D, Angstadt M, Sripada CS. Kessler D, et al. Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3372-E3373. doi: 10.1073/pnas.1614502114. Epub 2017 Apr 18. Proc Natl Acad Sci U S A. 2017. PMID: 28420796 Free PMC article. No abstract available.
Controversy in statistical analysis of functional magnetic resonance imaging data.
Brown EN, Behrmann M. Brown EN, et al. Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3368-E3369. doi: 10.1073/pnas.1705513114. Epub 2017 Apr 18. Proc Natl Acad Sci U S A. 2017. PMID: 28420797 Free PMC article. No abstract available.
fMRI clustering and false-positive rates.
Cox RW, Chen G, Glen DR, Reynolds RC, Taylor PA. Cox RW, et al. Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3370-E3371. doi: 10.1073/pnas.1614961114. Epub 2017 Apr 18. Proc Natl Acad Sci U S A. 2017. PMID: 28420798 Free PMC article. No abstract available.

References

1. Eklund A, Nichols TE, Knutsson H. 2016. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates. Proc Natl Acad Sci USA 113:7900–7905. Erratum in Proc Natl Acad Sci USA 113:E4929.
1. Brown EN, Behrmann M. Controversy in statistical analysis of functional magnetic resonance imaging data. Proc Natl Acad Sci USA. 2017;114:E3368–E3369. - PMC - PubMed
1. Cox RW, Chen G, Glen RD, Reynolds RC, Taylor PA. fMRI clustering and false positive rates. Proc Natl Acad Sci USA. 2017;114:E3370–E3371. - PMC - PubMed
1. Kessler D, Angstadt M, Sripada CS. Reevaluating “cluster failure” in fMRI using nonparametric control of the false discovery rate. Proc Natl Acad Sci USA. 2017;114:E3372–E3373. - PMC - PubMed
1. Winkler AM, Ridgway GR, Webster MA, Smith SM, Nichols TE. Permutation inference for the general linear model. Neuroimage. 2014;92:381–397. - PMC - PubMed

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Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI

Affiliations

Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI

Authors

Affiliations

Conflict of interest statement

Comment on

References

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

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