Developing a computational electroencephalogram (EEG) paradigm to study prediction error in anorexia nervosa

开发计算脑电图 (EEG) 范式来研究神经性厌食症的预测误差

基本信息

批准号：
9975594
负责人：
Guido KW Frank
金额：
$ 19.69万
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：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9975594
关键词：
Adolescent Adult Affect Age American Psychiatric Association Anorexia Nervosa Anterior Bayesian Modeling Biological Markers Body Weight decreased Brain Brain imaging Characteristics Chronic Disease Computer Models Corpus striatum structure Data Development Disease Dopamine Eating Eating Disorders Electroencephalogram Electroencephalography Event-Related Potentials Exploratory/Developmental Grant Feedback Female Female Adolescents Food Fright Functional Magnetic Resonance Imaging Functional disorder Future Individual Insula of Reil Learning MRI Scans Magnetic Resonance Measures Metals Methods Modeling Neurobiology Neurons Neurotransmitters Participant Pathway interactions Pattern Pharmacology Predictive Value Protocols documentation Psychological reinforcement Research Rewards Role Signal Transduction Stimulus Structure Sucrose Taste Perception Techniques Testing Time Treatment outcome Ventral Striatum Weight Gain base brain volume classical conditioning comparison group cost dopamine system food restriction independent component analysis mortality neuroimaging recruit response reward circuitry reward processing severe psychiatric disorder source localization taste stimuli

项目摘要

Abstract Adolescent anorexia nervosa (AN) is an eating disorder associated with intense fear of weight gain, food refusal, and severe weight loss. AN is the third most common chronic illness among adolescent females with a mortality rate 12 times higher than expected for females 15-24 years old. Little is known about biomarkers in adolescent AN. Neuroimaging studies using techniques such as functional magnetic resonance imaging (fMRI) have repeatedly suggested altered reward processing in AN including studies using the dopamine associated prediction error (PE) model. The brain PE response is elicited during unexpected receipt or omission of reward stimuli and thought to reflect the functionality of brain dopamine circuits. This is an important research direction as the dopamine system can be manipulated pharmacologically. Ill adolescent or adult individuals with AN showed elevated PE response to repeated sucrose taste receipt in insula and striatum. PE was also inversely related to weight gain in treatment. Thus, PE brain response promises to be an important biological marker for adolescent AN with predictive value for treatment outcome. However, functional brain imaging is costly, prohibitive for instance for individuals with braces or other metal in their body and only available at certain centers. In order to study PE in AN in larger scale studies, a more practical approach and method need to be developed. In this application, we will use the exploratory/developmental R21 mechanism to develop a study protocol using electroencephalography (EEG) to study PE signals in adolescent AN. Recent studies in healthy individuals support that this is a valid approach. In Aim 1. we test the feasibility of adapting a computational taste PE reinforcement learning paradigm from fMRI to EEG in adolescents with AN and healthy controls. We expect that we will find internal consistency of taste PE brain response between fMRI insula and striatum response and EEG signal in cingulate and frontal cortical regions in adolescents with AN as well as age-matched healthy controls. We further expect that we will find preliminary evidence that the EEG paradigm will be able to discriminate the AN group from the control adolescents based on feedback related negativity and higher event-related potential amplitudes. In Aim 2. we test whether a monetary PE paradigm will show similar EEG brain response as the taste PE in Aim 1. to establish the generalizability of taste and non-taste paradigms. The development of an EEG based reward PE study paradigm will enable us in the future to conduct large- scale studies that will be less costly and independent from brain imaging centers that are only available to a small subset of adolescents with AN.

抽象的青少年厌食症（AN）是一种与对体重增加，食物的强烈恐惧有关的饮食失调症拒绝和严重的体重减轻。一个是青春期女性中第三大常见的慢性疾病死亡率比15-24岁的女性高12倍。关于生物标志物的知之甚少青少年使用诸如功能磁共振成像（fMRI）等技术的神经影像学研究在包括多巴胺相关的研究中，反复提出包括研究的奖励处理改变了预测错误（PE）模型。在意外收到或省略奖励期间引起大脑PE响应刺激和被认为反映了脑多巴胺回路的功能。这是一个重要的研究方向由于多巴胺系统可以通过药理操作。患病的青春期或成年人显示出对重复的蔗糖味道收据的PE反应升高。体育也是成反比的与治疗的体重增加有关。因此，PE脑反应有望成为青少年A具有预测价值的治疗结果。但是，功能性大脑成像是昂贵的，例如，对于身体中有牙套或其他金属的个体，只有一定的人可用中心。为了在大规模研究中研究PE，需要一种更实用的方法和方法发达。在此应用中，我们将使用探索性/发展性R21机制来开发研究使用脑电图（EEG）的协议来研究青少年的PE信号。关于健康的最新研究个人支持这是一种有效的方法。在AIM 1中。我们测试了适应计算口味PE增强学习范式的可行性具有健康对照的青少年的脑电图磁铁。我们希望我们会发现内部一致性 fMRI绝缘和纹状体响应和额定信号之间的PE脑反应在扣带和额叶中具有和年龄匹配的健康对照的青少年的皮质区域。我们进一步期望我们会查找初步证据表明，脑电图范式将能够区分群体与控制基于反馈相关的消极和较高事件相关的潜在幅度的青少年。在AIM 2中。我们测试货币PE范式是否显示出与味觉相似的EEG脑反应目的1。建立味道和非味道范式的普遍性。基于脑电图的奖励研究范式的发展将使我们能够进行大量比例研究的成本较低，独立于大脑成像中心，仅适用于大脑成像中心少数青少年的子集。