Neurocognitive Abnormalities in Stimulant Abuse among High-Risk Women

高危女性滥用兴奋剂导致的神经认知异常

• 批准号: 10522796
• 负责人: KENT A KIEHL
• 金额: $ 80.08万
• 依托单位: LOVELACE BIOMEDICAL RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10522796
• 关键词: Address; Amygdaloid structure; Anatomy; Anterior; Antisocial Personality Disorder; Area; Award; Basal Ganglia; Biological; Biological Markers; Borderline Personality Disorder; Brain; Cocaine; Cognition; Cognitive Therapy; Communities; Consultations; Corpus Callosum; Corpus striatum structure; Data; Data Set; Decision Making; Diffusion; Dorsal; Drug abuse; Emotional; Ensure; Equipment; Etiology; Female; Forensic Medicine; Functional disorder; Future; Goals; High Risk Woman; Image; Impairment; Imprisonment; Individual Differences; Intervention; Lead; Linguistics; Magnetic Resonance Imaging; Mental Health; Mental disorders; Mind; Mindfulness Training; Modeling; Morals; Multimodal Imaging; National Institute of Drug Abuse; Nature; Neuroanatomy; Neurobiology; Neurocognitive; Outcome; Participant; Pathologic; Pathway Analysis; Pattern; Personality; Personality Traits; Pharmaceutical Preparations; Physiologic pulse; Population; Prediction of Response to Therapy; Prisons; Process; Psychopath; Public Health; Published Comment; Publishing; Relapse; Request for Applications; Research; Resources; Sampling; Severities; Sex Differences; Stimulant; Substance Use Disorder; Substance abuse problem; System; Task Performances; Temporal Lobe; Testing; Time; Treatment outcome; United States National Institutes of Health; Woman; Work; amphetamine use; anti social; antisocial behavior; base; behavior test; cognitive process; comorbidity; cost; density; design; frontal lobe; functional MRI scan; gender difference; gray matter; high risk; high risk population; improved; independent component analysis; interest; men; methamphetamine abuse; multimodality; neural circuit; neural network; neuromechanism; novel; offender; predictive modeling; programs; psychopathic personality; public health relevance; relapse prediction; response; sex; stimulant abuse; stimulant use; trait; treatment strategy; white matter

Project Abstract There continues to be great interest and public/health/relevance with regard to understanding the neurobiological systems that underlie the comorbidity of substance use disorders and other psychiatric conditions. In a previous R01 award, we focused our efforts upon characterizing the neural circuitry underlying moral decision making in incarcerated men with varying levels of two frequently co-occurring conditions: stimulant abuse and psychopathy. Here we propose to extend this work to incarcerated women, examine longitudinal outcomes, and apply stateof-the-art network analyses for predictive models. Studies published by our research team have demonstrated sex differences in the degree and expression of psychopathic traits, patterns of stimulant abuse, and moral decision-making. However, the neural circuitry that underlies these sex differences is not well understood. We have also identified substantial sex differences in regional gray matter volume and density in our extant samples. Collectively, sex differences in pathophysiology could have significant implications for treatment strategies and differential biomarkers of treatment prediction and outcome in men and women. We will implement the research strategy with a large incarcerated population by deploying a unique mobile MRI scanner to the regional women’s prison. Participants will be stratified by their level of lifetime stimulant (cocaine, amphetamine) use severity and psychopathic traits (high, medium, low) and will undergo anatomical and functional MRI scanning while completing multi-modal (i.e., linguistic and picture) decision-making tasks. We will also examine functional network and dynamic network connectivity in women using a new multiband EPI pulse sequence, and collect longitudinal outcomes after release to the community and test behavioral and neuropredictive models of relapse and future antisocial behavior. This work is expected to generate a large, robust dataset that characterizes the overlapping and unique aspects of neural circuitry underlying stimulant use and psychopathy in females. The proposed research is in line with recent priorities emphasized by NIDA for projects aimed at examining gender differences, and effects specific to females, to improve our understanding of the nature and etiology of drug abuse.

项目摘要 在理解神经生物学方面，仍然有极大的兴趣和公共/健康/相关性 物质使用障碍和其他精神疾病共病的基础系统。在以前的 R01奖，我们的努力集中在描述道德决策背后的神经回路 被监禁的男子有两种常见的共生疾病：兴奋剂滥用和精神变态。 在这里，我们建议将这项工作扩展到被监禁妇女，检查纵向结果，并应用最先进的网络分析预测模型。我们研究团队发表的研究表明 精神病态特征、兴奋剂滥用方式和道德品质的程度和表现的性别差异 决策。然而，这些性别差异背后的神经回路并没有被很好地理解。我们 在我们现有的样本中，也发现了区域灰质体积和密度的显著性别差异。 总体而言，病理生理学上的性别差异可能对治疗策略和 男性和女性治疗预测和结果的不同生物标志物。我们将实施这项研究 通过在地区妇女医院部署独特的移动核磁共振扫描仪来应对大量被监禁人口 监狱。参与者将根据其终生兴奋剂(可卡因、苯丙胺)的使用程度和严重程度进行分层 精神病态特征(高、中、低)，并将接受解剖和功能磁共振扫描，同时 完成多模式(即语言和图像)决策任务。我们还将研究功能 使用新的多频段EPI脉冲序列在女性中进行网络和动态网络连接，并收集 向社区释放后的纵向结果，并测试复发的行为和神经预测模型 以及未来的反社会行为。这项工作预计将生成一个大型、健壮的数据集，该数据集描述了 女性兴奋剂使用和精神变态背后的神经回路的重叠和独特方面。这个 拟议的研究符合NIDA最近强调的旨在审查性别问题的项目的优先事项 女性特有的差异和影响，以提高我们对药物本质和病因的理解 虐待。