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  The PhysIO toolbox for modeling physiological noise in fMRI data

Kasper, L., Bollmann, S., Diaconescu, A. O., Hutton, C., Heinzle, J., Iglesias, S., et al. (2017). The PhysIO toolbox for modeling physiological noise in fMRI data. Journal of Neuroscience Methods, 276, 56-72. doi:10.1016/j.jneumeth.2016.10.019.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-3D2C-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-3D2D-8
Genre: Journal Article

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 Creators:
Kasper, Lars, Author
Bollmann, Steffen, Author
Diaconescu, Andreea O., Author
Hutton, Chloe, Author
Heinzle, Jakob, Author
Iglesias, Sandra, Author
Hauser, Tobias U., Author
Sebold, Miriam, Author
Manjaly, Zina-Mary, Author
Pruessmann, Klaas P., Author
Stephan, Klaas Enno1, Author           
Affiliations:
1Neuronal Control of Metabolism, Department Jens Brüning, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149644              

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Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jneumeth.2016.10.019
 Degree: -

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Title: Journal of Neuroscience Methods
  Other : J. Neurosci. Meth.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 276 Sequence Number: - Start / End Page: 56 - 72 Identifier: ISSN: 0165-0270
CoNE: https://pure.mpg.de/cone/journals/resource/954925480594