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  Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: A machine learning approach

Portugal, L. C. L., Schrouff, J., Stiffler, R., Bertocci, M., Bebko, G., Chase, H., et al. (2019). Predicting anxiety from wholebrain activity patterns to emotional faces in young adults: A machine learning approach. NeuroImage: Clinical, 23: 101813. doi:10.1016/j.nicl.2019.101813.

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https://dx.doi.org/10.1016/j.nicl.2019.101813 (Publisher version)
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 Creators:
Portugal, Liana C. L.1, Author
Schrouff, Jessica1, 2, Author           
Stiffler, Ricki1, Author
Bertocci, Michele1, Author
Bebko, Genna1, Author
Chase, Henry1, Author
Lockovitch, Jeanette1, Author
Aslam, Haris1, Author
Graur, Simona1, Author
Greenberg, Tsafrir1, Author
Pereira, Mirtes1, Author
Oliveira, Leticia1, Author
Phillips, Mary1, Author
Mourão-Miranda, Janaina1, 2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.nicl.2019.101813
Other: alg:id10008554
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Title: NeuroImage: Clinical
Source Genre: Journal
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Pages: - Volume / Issue: 23 Sequence Number: 101813 Start / End Page: - Identifier: -