Socioemotional processing in female offenders - Resubmission 01

女性罪犯的社会情感处理 - 重新提交 01

基本信息

批准号：
9889999
负责人：
JEAN DECETY
金额：
$ 68.01万
依托单位：
UNIVERSITY OF CHICAGO
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-06-20 至 2023-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9889999
关键词：
AODD relapse Address Adopted Affective Amygdaloid structure Antisocial Personality Disorder Attention Awareness Behavioral Borderline Personality Disorder Brain Categories Classification Cognition Cognitive Communication Data Data Analyses Diagnostic Dimensions Emotional Emotions Empathy Etiology Face Face Processing Female Forensic Medicine Functional Magnetic Resonance Imaging Fusiform gyrus Future Goals Hyperactive behavior Inferior Inferior frontal gyrus Insula of Reil Intervention Investigation Jordan Knowledge Machine Learning Measures Mental Health Mental disorders Methods Modeling Mood Disorders National Institute of Mental Health Neurobiology Neurologic Neurosciences Neurosciences Research Outcome Pain Pathologic Pathology Patient Self-Report Pattern Perception Personality Population Prefrontal Cortex Preventive measure Procedures Process Psyche structure Psychopath Psychopathology Public Health Research Research Domain Criteria Rest Sampling Structure of superior temporal sulcus Substance Addiction Substance abuse problem Suicide Suicide attempt Symptoms System Taxonomy Techniques Temporal Sulcus Testing Variant Work advanced analytics anti social antisocial behavior base behavioral outcome comorbidity experience falls gender difference hemodynamics improved independent component analysis interest male mental state multimodality neural circuit neuroimaging neuromechanism offender psychologic psychopathic personality public health relevance relating to nervous system remediation response showing emotion social social situation specific biomarkers symptomatology targeted treatment trait treatment strategy

项目摘要

DESCRIPTION (provided by applicant): Increasing public awareness has accompanied recent scientific progress understanding the relationship between mental illness and some forms of persistent antisocial behavior. This has incited calls for research into possible interventions and preventive measures. A critical barrier to research in this arena has been an outdated, descriptive taxonomy of psychiatric constructs with overlapping symptomatology and little integration of emerging knowledge from neuroscience research. An array of traits and symptoms characterized within the framework of internalizing and externalizing psychopathology are features of several psychiatric constructs common in forensic settings. It will be essential for continued progress to identify basic features of pathology that are closely aligned with specific neurobiological systems underlying domains of cognitive processing. Among these, systems governing social processing, including emotion-related cognition and perspective-taking are particularly relevant in antisocial outcomes due to psychopathology. Our research team has previously explored the domains of social-affective processing as they relate to psychopathic traits in a large, forensic male sample. Here we propose to extend this work in a female forensic sample. Further, we integrate a wider array of dimensional constructs of pathology in socio-affective processing by examining features of psychopathic traits as well borderline personality disorder. Our research strategy utilizes functional magnetic resonance imaging for the investigation of neural circuits involved in dynamic facial affective processing, inferring affective states from social situations, and emotional perspective-taking. These data will provide us with essential information about gender differences in these processes, and whether critical features of pathology are uniquely related to variation in these circuits. Furthermore, we will examine the utility of variation within these circuits to predict poor behavioral outcomes of interest including antisocial behavior, substance abuse, and suicide. Importantly, to determine key features predictive of poor outcomes, we plan to compare traditional hierarchical modeling procedures with more advanced data-driven approaches. Traditional approaches utilize regions of interest identified through prior neuroimaging work, combined with psychological traits of interest and other key demographic variables. Advanced data-driven approaches utilize Independent Component Analysis for determining key functional networks of brain activity, and utilize machine learning approaches for selecting features essential for building appropriate models. Comparing these approaches will inform our planned future efforts for developing remediation strategies and evaluating efficacy at both a neurological level as well as behavioral level. These are essential, incremental steps toward a larger translational goal to develop improved, targeted treatment strategies informed by emerging neuroscience.

描述（由适用提供）：越来越多的公众意识取得了最新的科学进步，了解精神疾病与某些形式的持续反社会行为之间的关系。这引发了对可能的干预措施进行研究的呼吁，预防措施。在该领域的研究的关键障碍是对精神病构建的过时的描述性分类学，具有重叠的症状学和从神经科学研究中新兴知识的整合很少。在内部化和外在的心理病理学框架内，一系列特征和症状是法医环境中常见的几种精神病学结构的特征。持续进展是确定病理学的基本特征，这些特征与认知处理的特定神经生物学系统紧密相一致。其中，管理社会处理的系统，包括与情感有关的认知和观点，由于精神病理学引起的反社会结局尤其重要。我们的研究团队以前曾探索过与精神病性状相关的社会影响力处理领域，这是一个大型法医男性样本中的域名。在这里，我们建议将这项工作扩展到女性法医样本中。此外，我们通过研究精神病性状的特征以及边缘性人格障碍，整合了社会影响力的一系列病理学构造。我们的研究策略利用功能性磁共振成像来研究与动态面部情感处理有关的神经回路，从社交状况中推断出情感状态以及情感观点。这些数据将为我们提供有关这些过程中性别差异的基本信息，以及病理学的关键特征是否与这些电路的变化有独特的相关。此外，我们将研究这些电路内变异的效用，以预测感兴趣的行为结果不佳，包括反社会行为，滥用药物和自杀。重要的是，为了确定预测不良结果的关键特征，我们计划将传统的分层建模程序与更先进的数据驱动方法进行比较。传统方法利用通过先前的神经影像工作确定的利益区域，再加上感兴趣的心理特征和其他关键人口统计学变量。高级数据驱动的方法利用独立的组件分析来确定大脑活动的关键功能网络，并利用机器学习方法来选择用于构建适当模型必不可少的功能。比较这些方法将为我们计划的未来做出的努力，以制定补救策略并在神经系统层面和行为层面评估有效性。这些是朝着更大的翻译目标迈出的必要步骤，以制定新兴神经科学所告知的改进，有针对性的治疗策略。