Mental Health in Autistic Adults: An RDoC Approach

成人自闭症患者的心理健康：RDoC 方法

基本信息

批准号：
10698105
负责人：
GREG J SIEGLE
金额：
$ 44.84万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-06 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10698105
关键词：
Adult Affective Age Behavioral Brain Cognitive Communities Data Differential Equation Distal Distress Ecological momentary assessment Emotional Emotions Ethnic Origin Evaluation Event Feedback Feeling suicidal Formulation Functional Magnetic Resonance Imaging Generations Hearing Image Individual Individual Differences Intervention Life Literature Measures Mental Depression Mental Health Modeling Motor Names Neural Network Simulation Outcome Patient Self-Report Perception Physiological Post-Traumatic Stress Disorders Process Psychopathology Psychophysiology Pupil Reaction Recording of previous events Regulation Research Domain Criteria Rest Self-Injurious Behavior Semantics Sensory Series Sexual and Gender Minorities Sinus Arrhythmia Social Network Stimulus Suicide System Testing Time Trauma Visual Work adult with autism spectrum disorder autism spectrum disorder autistic behavioral response causal model cognitive control cognitive task coping design emotion dysregulation emotion regulation emotional stimulus experience indexing individuals with autism spectrum disorder neural neural model neural recruitment neuroimaging neuromechanism preservation prospective recruit respiratory response sex social success suicidal suicidal risk support network

项目摘要

Abstract Autism is frequently characterized by hyper-reactivity to emotional and intense stimuli, but also, apparent shutting down or blunted reactions, consistent with hypo-reactivity. This project uses neuroimaging to test a mechanistic model in which the same individuals display hyper-reactivity in brain networks responsible for perceiving emotional and sensory information, but inability to recruit neural mechanisms responsible for physiological and behavioral regulatory responses (i.e., apparent hypo-reactivity). This combination yields inwardly sustained, but outwardly blunted reactions akin to being locked in, “screaming inside” while unable to use typical executive, motor, and social mechanisms to regulate these experiences. N=200 autistic and 100 non-autistic individuals will complete tasks involving hearing criticism and praise, naming the valence of emotional words in alternation with cognitive tasks, and seeing visually intense full-field images as well as resting state assessment. Aims include assessment of early hyper-reactivity in brain systems responsible for perception and emotion generation, and subsequent hypo-connectivity and hypo-reactivity with regions that facilitate regulatory control cognitively, socially, and through motor actions. An integrative mechanistic neural network model will be used to examine whether this formulation could yield individual differences in ecological momentary assessment, ambulatory psychophysiology, and self-reported suicidality in the other projects. The potential significance of this work is to dispel the idea that autistic individuals have blunted reactions, and rather to say that their brains are very reactive, and they cannot effectively express or cope with this reactivity. This formulation could lead to different approaches to intervention than are currently available to the autistic community.

抽象的自闭症通常以对情绪和强烈刺激的过度反应性，但也显而易见关闭或钝化反应，与低反应性一致。该项目使用神经影像来测试机械模型，同一个人在负责的大脑网络中表现出高反应性感知情感和感官信息，但无法招募负责的神经机制生理和行为调节反应（即明显的低反应性）。这种组合产生内心持续但外在钝化的反应类似于被锁定，“尖叫”而无法使用典型的执行，运动和社会机制来规范这些经验。 n = 200加速和100 非自主个人将完成涉及听力批判主义和赞美的任务，命名与认知任务的替代性情感词，并看到视觉上强烈的全场图像以及休息状态评估。目的包括评估负责的大脑系统中早期过度反应性感知和情绪的产生，随后与地区的性低连接性和反应性不重通过认知，社会和运动动作促进监管控制。综合机械神经元网络模型将用于检查该公式是否可以在生态学上产生个体差异其他项目中的瞬时评估，卧床心理生理学和自我报告的自称。这项工作的潜在意义是消除令人印象深刻的个人的反应和而是说他们的大脑非常反应性，他们无法有效地表达或应对这种反应性。该公式可能会导致干预方法与自闭症当前可用的不同社区。