GENERAL COMMENTARY article

Front. Neuroinform., 16 May 2014

Volume 8 - 2014 | https://doi.org/10.3389/fninf.2014.00050

Corrigendum: Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness

  • 1. Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico “Carlo Besta” Milano, Italy

  • 2. Scientific Department, Fondazione IRCCS Istituto Neurologico “Carlo Besta” Milano, Italy

  • 3. Neurology, Public Health, Disability Unit, Scientific Department, Fondazione IRCCS Istituto Neurologico “Carlo Besta” Milan, Italy

The authors of the article by Andronache et al. apologize that the funding acknowledgment “The Start-up Coma Research Centre (CRC) project was also supported by the European Foundation for Biomedical Research (FERB)” was omitted from the original publication.

Statements

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  • 1

    AndronacheA.RosazzaC.SattinD.LeonardiM.D'IncertiL.MinatiL.et al. (2013). Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness. Front. Neuroinform. 7:16. 10.3389/fninf.2013.00016

Summary

Keywords

functional MRI (fMRI), resting-state, functional connectivity, disorders of consciousness, vegetative state, minimally-conscious state, data preprocessing

Citation

Andronache AS, Rosazza C, Sattin D, Leonardi M, D'Incerti L and Minati L (2014) Corrigendum: Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness. Front. Neuroinform. 8:50. doi: 10.3389/fninf.2014.00050

Received

14 April 2014

Accepted

24 April 2014

Published

16 May 2014

Volume

8 - 2014

Edited and reviewed by

Daniel Marcus, Washington University in St. Louis, USA

Copyright

*Correspondence:

This article was submitted to the journal Frontiers in Neuroinformatics.

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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