Machine learning based identification of structural brain alterations underlying suicide risk in adolescents

Abstract Suicide is the third leading cause of death for individuals between 15 and 19 years of age. The high suicide mortality rate and limited prior success in identifying neuroimaging biomarkers indicate that it is crucial to improve the accuracy of clinical neural signatures underlying suicide r...

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Principais autores:	Sahil Bajaj, Karina S. Blair, Matthew Dobbertin, Kaustubh R. Patil, Patrick M. Tyler, Jay L. Ringle, Johannah Bashford-Largo, Avantika Mathur, Jaimie Elowsky, Ahria Dominguez, Lianne Schmaal, R. James R. Blair
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2023-02-01
Colecção:	Discover Mental Health
Assuntos:	Cortical volume Morphometry Brain parcellation Suicidal ideation Emotions Youth
Acesso em linha:	https://doi.org/10.1007/s44192-023-00033-6
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