Computational and neural signatures of interoceptive learning in anorexia nervosa

神经性厌食症内感受学习的计算和神经特征

基本信息

批准号：
10824044
负责人：
Carina Samantha Brown
金额：
$ 4.04万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2024
资助国家：
美国
起止时间：
2024-01-01 至 2026-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10824044
关键词：
Adaptive Behaviors Address Adult Affective Age Amygdaloid structure Anorexia Nervosa Anxiety Architecture Association Learning Attenuated Aversive Stimulus Behavioral Belief Biological Markers Body Image Body mass index Breathing Cessation of life Chronic Clinical Cognitive Computer Models Corpus striatum structure Cues Dangerousness Data Development Diagnosis Disease Eating Disorders Esthesia Etiology Failure Feedback Feeling Food Fright Functional Magnetic Resonance Imaging Goals Hunger Impairment Individual Insula of Reil Interoception Intervention Investigation Investigational Therapies Learning Linear Models Link Maintenance Measures Mental Health Mental disorders Methodology Methods Modeling Neuroanatomy Neurobiology Neurosciences Outcome Parents Participant Pathology Patients Perception Physiological Play Population Prefrontal Cortex Process Psychiatry Questionnaires Research Resistance Rest Rewards Risk Role Sampling Satiation Sensory Sensory Process Series Signal Transduction Stimulus Symptoms Theoretical model Time Training United States National Institutes of Health Update Visual Woman bodily sensation brain based cognitive process dietary restriction eating pathology expectation experience functional MRI scan improved information processing insight interest mortality neural neural network neuroimaging novel phenomenological models predictive modeling present value recruit research and development response sensory integration sensory mechanism skills sustained recovery symptomatology therapy development treatment response

项目摘要

PROJECT SUMMARY Anorexia nervosa (AN) is a highly impairing, chronic, and often fatal disorder, however its etiology remains poorly understood. Aberrant aversive learning, particularly in relation to internal bodily signals (i.e., aversive interoceptive learning), may be a critical feature of eating disorder pathology, as interoceptive domains are linked to greater body image disturbance, distorted hunger/satiety cues, and dysregulated affective processing in AN. Aversive interoceptive learning is driven by discrepancies between anticipated and observed sensory states (i.e., prediction errors), brain-based computations associated with networks consisting of the insula, striatum, prefrontal cortex, and amygdala. Individuals with AN demonstrate difficulties distinguishing between expected and experienced sensations, suggesting their ability to successfully learn from body sensations is compromised, which may maintain disordered eating. Despite this, aversive interoceptive learning is considerably understudied in eating disorders. This is the first study to examine 1) how individuals with AN learn from aversive interoceptive outcomes, 2) whether neuroanatomical regions supporting aversive interoceptive learning display altered functional connectivity in AN, and 3) how behavioral and neural signatures of aversive interoceptive learning are linked. Thirty-two adult women diagnosed with AN and 32 demographically matched healthy controls will complete an associative learning paradigm utilizing aversive breathing restrictions and will undergo resting-state functional magnetic resonance imaging. Interoceptive learning will be operationalized using computational models that track trial-by-trial prediction errors (PE) and stimulus value estimates. Aim 1 will examine model- generated latent behavioral differences in aversive interoceptive learning (e.g., learning rates) between AN participants and healthy controls, as well as associations with clinical eating disorder measures. Aim 2 will assess group differences in insula functional connectivity with regions linked to aversive learning and interoceptive processing (i.e., amygdala, striatum, prefrontal cortex). Aim 3 will explore associations between insular connectivity and learning rates. Uncovering behavioral and neural signatures of aversive interoceptive learning will not only inform etiological models of risk and maintenance in AN, but will also signify an imperative next step in the development of novel treatments that target both cognitive and sensory processes contributing to eating disorder pathology. Moreover, this project will provide invaluable training in computational and neuroimaging methodology, skills critically needed to enhance eating disorder research and treatment development.

项目摘要神经性厌食症（AN）是一种高度损害，慢性且通常是致命的疾病，但其病因仍然很差理解。异常的厌恶学习，特别是与内部身体信号有关（即厌恶感知性学习），可能是饮食失调病理学的关键特征为了更大的身体形象干扰，饥饿/饱腹感的扭曲，以及在An中的情感处理失调。厌恶性的跨性学习是由预期和观察到的感觉状态之间的差异驱动的（即预测错误），基于大脑的计算，与由岛，纹状体，纹状体组成的网络相关的计算前额叶皮层和杏仁核。表现出难以区分预期的人并有经验的感觉，表明他们成功从身体感觉中学习的能力受到损害，可能会保持饮食不足。尽管如此，厌恶性的跨性别学习被大量研究在饮食失调方面。这是第一个检查1）从厌恶感中学习的个人如何结果，2）神经解剖区域是否支持厌恶性的互感学习显示改变 AN的功能连通性，以及3）厌恶性跨性学习的行为和神经签名如何链接。 32名成年妇女被诊断出患有AN和32个人口统计学匹配的健康对照组完成使用厌恶呼吸限制的联想学习范式，并将接受休息状态功能磁共振成像。感知性学习将使用计算进行操作跟踪逐审预测误差（PE）和刺激值估计值的模型。 AIM 1将检查模型 - 在厌恶性互认为学习（例如学习率）中产生了潜在的行为差异参与者和健康的对照，以及与临床饮食失调措施的关联。 AIM 2将评估与厌恶学习和互相感知性的区域的岛岛功能连通性的群体差异加工（即杏仁核，纹状体，前额叶皮层）。 AIM 3将探索岛屿之间的关联连通性和学习率。揭示厌恶性跨性学习的行为和神经签名不仅会为AN中的风险和维护的病因学模型提供信息，还将表示下一步在开发针对认知和感觉过程的新型治疗方法中疾病病理学。此外，该项目将提供宝贵的计算和神经影像学培训方法论，技能至关重要，以增强饮食失调研究和治疗开发。