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  Improving fMRI in Parkinson's disease by accounting for brain region-specific activity patterns

Torrecuso, R., Mueller, K., Holiga, Š., Sieger, T., Vymazal, J., Růžička, F., et al. (in press). Improving fMRI in Parkinson's disease by accounting for brain region-specific activity patterns. NeuroImage: Clinical.

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 Creators:
Torrecuso, Renzo1, Author           
Mueller, Karsten1, 2, Author           
Holiga, Štefan1, Author           
Sieger, T., Author
Vymazal, J., Author
Růžička, F., Author
Roth, J., Author
Růžička, E. F., Author
Schroeter, Matthias L.3, Author           
Jech, R., Author
Möller, Harald E.1, Author           
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
2Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_3282987              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 Dates: 20222022
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: NeuroImage: Clinical
Source Genre: Journal
 Creator(s):
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Publ. Info: Elsevier
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2213-1582
CoNE: https://pure.mpg.de/cone/journals/resource/2213-1582