Crossmark

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

Crossref DOI link: https://doi.org/10.1016/j.nicl.2019.101813

Published Print: 2019

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Portugal, Liana C.L. https://orcid.org/0000-0001-5086-5721
Schrouff, Jessica

Stiffler, Ricki

Bertocci, Michele

Bebko, Genna

Chase, Henry

Lockovitch, Jeanette

Aslam, Haris

Graur, Simona

Greenberg, Tsafrir

Pereira, Mirtes

Oliveira, Leticia

Phillips, Mary

Mourão-Miranda, Janaina
Funding

Funding for this research was provided by:

H2020 Marie Skłodowska-Curie Actions

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Pittsburgh Foundation

Wellcome Trust

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
License Information

Text and Data Mining valid from 2019-01-01

Text and Data Mining valid from 2019-01-01

Version of Record valid from 2019-04-02
More Information

This article is maintained by: Elsevier

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

Journal Title: NeuroImage: Clinical

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.nicl.2019.101813

Content Type: article

Copyright: © 2019 The Authors. Published by Elsevier Inc.