Informing the study of suicidal thoughts and behaviors in distressed young adults: The use of a machine learning approach to identify neuroimaging, psychiatric, behavioral, and demographic correlates-Reference-Cited by-同舟云学术

Informing the study of suicidal thoughts and behaviors in distressed young adults: The use of a machine learning approach to identify neuroimaging, psychiatric, behavioral, and demographic correlates

Published:2021-11 Issue: Volume:317 Page:111386
ISSN:0925-4927
Container-title:Psychiatry Research: Neuroimaging
language:en
Short-container-title:Psychiatry Research: Neuroimaging

Author:

Oppenheimer Caroline W.,Bertocci Michele,Greenberg Tsafrir,Chase Henry W.,Stiffler Richelle,Aslam Haris A.,Lockovich Jeanette,Graur Simona,Bebko Genna,Phillips Mary L.

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Radiology, Nuclear Medicine and imaging,Neuroscience (miscellaneous)

Reference58 articles.

1. Amygdala functional connectivity during self-face processing in depressed adolescents with recent suicide attempt;Alarcón;J. Am. Acad. Child Adolesc. Psychiatry,2019

2. Neural substrates of suicide and suicidal behaviour: from a neuroimaging perspective;Balcioglu;Psychiatry Clin. Psychopharmacol.,2018

3. Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth;Bertocci;Mol. Psychiatry,2016

5. Annual research review: suicide among youth–epidemiology, (potential) etiology, and treatment;Cha;J. Child Psychol. Psychiatr.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning;Frontiers in Psychiatry;2024-01-11