多模态风险因素区分自杀企图与思想家在患有严重抑郁症的退伍军人中
Kim E Goldstein1, Robert H Pietrzak2, Katelyn N Challman1
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
患有严重抑郁症 (MDD) 的退伍军人的自杀企图与特定的大脑和认知差异有关. 神经成像和神经认知评估可以帮助识别那些自杀企图风险较高的退伍军人.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 退伍军人健康 退伍军人的健康
背景情况:
- 与非退伍军人相比,美国退伍军人自杀率高1.5倍.
- 在患有重大抑郁症 (MDD) 患者等高风险群体中,区分自杀企图与想法的界定因素对于预防至关重要.
- 确定临床,神经认知和神经成像变量是必要的,以了解MDD退伍军人的自杀严重程度.
研究的目的:
- 确定临床,神经认知和神经成像变量,以区分被诊断患有MDD的退伍军人中自杀严重程度的群体.
- 为了区分患有MDD且没有自杀念头/企图的退伍军人,仅有自杀念头的退伍军人,以及有过自杀企图的退伍军人.
主要方法:
- 评估了68名患有MDD的退伍军人,根据自杀行为严重程度分成组 (MDD-SI/SA,MDD+SI,MDD+SA).
- 参与者接受了结构化诊断面试,神经认知评估和3T结构/扩散张力磁共振成像 (MRI).
- 使用多项逻辑回归模型来识别差异化变量.
主要成果:
- 与MDD-SI/SA和MDD+SI组相比,患有MDD+SA的退伍军人表现出较高的左环部分异质性.
- 在MDD+SA组与MDD-SI/SA相比,在情绪Stroop任务上观察到注意力控制的减少.
- 与MDD+SI相比,MDD+SA组的Go/No-Go任务的响应时间更快,准确度保持不变.
结论:
- 神经成像 (MRI) 和神经认知评估可以在整个自杀风险谱中区分MDD的退伍军人.
- 这些发现表明,有可能改善自杀风险分层和为退伍军人制定有针对性的预防策略.
- 该研究强调了多式联络评估在理解脆弱人群中复杂的自杀行为方面的有用性.
更多相关视频
09:55Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder
Published on: March 8, 2018
08:42Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
Published on: May 19, 2015
相关概念视频
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Antidepressant Drugs: MAOIs and Other Agents
Dissociative Identity Disorder
Psychological and Sociocultural Causes of Schizophrenia
Post-traumatic Stress Disorder
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
Theoretical Approaches to Psychological Disorder
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
