Biblioteca Humberto Rosselli Quijano
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Autor Navona Calarco |
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Separable and Replicable Neural Strategies During Social Brain Function in People With and Without Severe Mental Illness / Colin Hawco en The American Journal of Psychiatry, Año 2019 - Vol. 176 - No.7 (Julio)
[artículo]
Título : Separable and Replicable Neural Strategies During Social Brain Function in People With and Without Severe Mental Illness Tipo de documento: texto impreso Autores: Colin Hawco, Autor ; Robert W. Buchanan, Autor ; Navona Calarco, Autor Fecha de publicación: 2019 Artículo en la página: pp. 521-530 Idioma : Inglés (eng) Idioma original : Inglés (eng) Palabras clave: Variabilidad individual, fMRI, Trastorno del espectro esquizofrenia, Cognición social, Agrupación Resumen: Case-control study design and disease heterogeneity may impede biomarker discovery in brain disorders, including serious mental illnesses. To identify biologically and/or behaviorally driven as opposed to diagnostically driven subgroups of individuals, the authors used hierarchical clustering to identify individuals with similar patterns of brain activity during a facial imitate/observe functional MRI task. Link: ./index.php?lvl=notice_display&id=20835
in The American Journal of Psychiatry > Año 2019 - Vol. 176 - No.7 (Julio) . - pp. 521-530[artículo] Separable and Replicable Neural Strategies During Social Brain Function in People With and Without Severe Mental Illness [texto impreso] / Colin Hawco, Autor ; Robert W. Buchanan, Autor ; Navona Calarco, Autor . - 2019 . - pp. 521-530.
Idioma : Inglés (eng) Idioma original : Inglés (eng)
in The American Journal of Psychiatry > Año 2019 - Vol. 176 - No.7 (Julio) . - pp. 521-530
Palabras clave: Variabilidad individual, fMRI, Trastorno del espectro esquizofrenia, Cognición social, Agrupación Resumen: Case-control study design and disease heterogeneity may impede biomarker discovery in brain disorders, including serious mental illnesses. To identify biologically and/or behaviorally driven as opposed to diagnostically driven subgroups of individuals, the authors used hierarchical clustering to identify individuals with similar patterns of brain activity during a facial imitate/observe functional MRI task. Link: ./index.php?lvl=notice_display&id=20835