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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Springer 2023-02-01
Series:Discover Mental Health
Subjects:
Cortical volume
Morphometry
Brain parcellation
Suicidal ideation
Emotions
Youth
Online Access:https://doi.org/10.1007/s44192-023-00033-6

Internet

https://doi.org/10.1007/s44192-023-00033-6

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