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.

项目概要神经性厌食症 (AN) 是一种严重损害、慢性且常常致命的疾病，但其病因仍不清楚明白了。异常的厌恶学习，特别是与内部身体信号有关的（即厌恶的）内感受学习），可能是饮食失调病理学的一个关键特征，因为内感受域是相互联系的 AN 中更大的身体形象干扰、扭曲的饥饿/饱足线索以及失调的情感处理。厌恶性内感受学习是由预期和观察到的感觉状态之间的差异驱动的（即，预测误差），与由岛叶、纹状体组成的网络相关的基于大脑的计算，前额皮质和杏仁核。患有 AN 的个体表现出区分预期和预期的困难和经历过的感觉，表明他们成功地从身体感觉中学习的能力受到了损害，这可能会导致饮食失调。尽管如此，厌恶性内感受学习的研究还很不足在饮食失调中。这是第一项研究 1) AN 患者如何从厌恶性内感受中学习结果，2）支持厌恶内感受学习的神经解剖区域是否改变 AN 中的功能连接，以及 3）厌恶性内感受学习的行为和神经特征如何已链接。 32 名被诊断患有 AN 的成年女性和 32 名人口统计匹配的健康对照者将利用厌恶性呼吸限制完成联想学习范式，并将经历静息状态功能磁共振成像。内感受学习将通过计算来实施跟踪逐次试验预测误差 (PE) 和刺激值估计的模型。目标 1 将检查模型 - AN 之间的厌恶性内感受学习（例如学习率）产生潜在的行为差异参与者和健康对照，以及与临床饮食失调措施的关联。目标 2 将评估岛叶功能连接与厌恶学习和内感受相关区域的群体差异处理（即杏仁核、纹状体、前额皮质）。目标 3 将探索岛屿之间的联系连接性和学习率。揭示厌恶性内感受学习的行为和神经特征不仅将为 AN 中的风险和维护的病因学模型提供信息，而且还意味着下一步势在必行开发针对饮食认知和感觉过程的新型疗法紊乱病理学。此外，该项目将提供计算和神经影像方面的宝贵培训加强饮食失调研究和治疗开发急需的方法论和技能。