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

BACKGROUND: It is becoming increasingly clear that pathophysiological processes underlying psychiatric disorders categories are heterogeneous on many levels, including symptoms, disease course, comorbidity and biological underpinnings. This heterogeneity poses challenges for identifying biological m...

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Dettagli Bibliografici
Pubblicato in:Neuroimage Clin
Autori principali: Portugal, Liana C.L., 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2019
Soggetti:
Regular Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6517640/
https://ncbi.nlm.nih.gov/pubmed/31082774
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2019.101813
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