Computational and Neural Modeling of Cue Reactivity in Addiction

成瘾中提示反应的计算和神经建模

基本信息

  • 批准号:
    9769690
  • 负责人:
  • 金额:
    $ 54.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

Abstract Substance use disorders (SUD) and obesity are both major public health concerns in the United States, with an estimated 20.8 million Americans struggling with at least one SUD in 2015 and 78.6 million adults and 12.7 million children who are obese. Cue-elicited craving is a central symptom of both drug addiction and binge eating and a strong predictor of relapse. Compared to other SUD symptoms, craving is also much more resistant to treatment. Unfortunately, our understanding of the neurobiological basis of cue-induced craving is still limited, especially compared to the wealth of existing human neuroimaging data. This is partially due to the lack of big data collectives (i.e. fMRI studies have mostly been conducted in isolation from each other) as well as the scarcity of model-based computational analysis in neuroimaging studies on addiction and obesity. The overarching goal of this project is to use multi-level, model-based computational methods to re-analyze six existing fMRI datasets that examine cue reactivity and craving across a total of 954 individuals with substance use or binge eating (59 tobacco smokers, 254 cannabis users, 598 binge drinkers, and 43 binge eating adults). We will address three timely aims using novel computational modeling methods: 1) conduct Bayesian model- based analyses to examine the common and distinct computational mechanisms of drug and food craving across different groups; 2) use dynamic causal modeling to quantify directed coupling between neural regions involved in cue reactivity shared by or unique to different substance using and binge eating groups; 3) explore how models of cue-elicited craving are modulated by the severity of substance use and binge eating. Findings from this project will greatly enhance our understanding of the neural and computational mechanisms underlying craving and cue reactivity in drug addiction and binge eating. The implication of these results could be far-reaching, because 1) craving is a common and core phenotype across different substance use and binge eating groups; 2) these advanced modeling methods could be applied to many other pathologies related to dysfunctional craving and reward processing; and 3) how these mechanisms differ between more severe (e.g. SUD) and less severe (e.g. non-SUD) individuals could provide mechanisms that might protect an individual from developing SUD.
摘要 物质使用障碍(SUD)和肥胖都是美国主要的公共卫生问题, 据估计,2015年有2080万美国人至少患有一种SUD,7860万成年人和1270万成年人 百万肥胖儿童。线索引发的渴望是药物成瘾和狂欢的中心症状 饮食和复发的强烈预测。与其他SUD症状相比,渴望也更多 抵抗治疗。不幸的是,我们对线索诱导渴望的神经生物学基础的理解是, 仍然是有限的,特别是与现有的人类神经成像数据的财富相比。这部分是由于 缺乏大数据集合(即功能磁共振成像研究大多是在相互隔离的情况下进行的) 在成瘾和肥胖的神经影像学研究中缺乏基于模型的计算分析。的 该项目的首要目标是使用多层次,基于模型的计算方法来重新分析六个 现有的功能磁共振成像数据集,研究了总共954个个体的线索反应和渴望, 使用或暴食(59名吸烟者,254名大麻使用者,598名酗酒者和43名暴食成年人)。 我们将使用新的计算建模方法解决三个及时的目标:1)进行贝叶斯模型- 基于分析来研究药物和食物渴望的共同和不同的计算机制 2)使用动态因果模型来量化神经区域之间的定向耦合 参与不同物质使用和暴饮暴食群体共享或独特的线索反应; 3)探索 线索引发的渴望模型如何受到物质使用和暴饮暴食的严重程度的调节。结果 这个项目将大大提高我们对神经和计算机制的理解 潜在的渴望和线索反应在药物成瘾和暴饮暴食。这些结果的含义可能 影响深远,因为1)渴望是不同物质使用的共同和核心表型, 暴饮暴食组; 2)这些先进的建模方法可以应用于许多其他病理相关 功能失调的渴望和奖励处理;以及3)这些机制在更严重的 (e.g. SUD)和不太严重(例如非SUD)的个体可以提供可能保护 个人发展SUD。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Xiaosi Gu其他文献

Xiaosi Gu的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Xiaosi Gu', 18)}}的其他基金

Neural, computational and behavioral characterization of dynamic social behavior in borderline and avoidant personality disorder
边缘型和回避型人格障碍动态社会行为的神经、计算和行为特征
  • 批准号:
    10579939
  • 财政年份:
    2021
  • 资助金额:
    $ 54.96万
  • 项目类别:
Neural, computational and behavioral characterization of dynamic social behavior in borderline and avoidant personality disorder
边缘型和回避型人格障碍动态社会行为的神经、计算和行为特征
  • 批准号:
    10400100
  • 财政年份:
    2021
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and electrochemical substrates of social decision-making in humans
人类社会决策的计算和电化学基础
  • 批准号:
    10059060
  • 财政年份:
    2020
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and electrochemical substrates of social decision-making in humans
人类社会决策的计算和电化学基础
  • 批准号:
    10428547
  • 财政年份:
    2020
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and electrochemical substrates of social decision-making in humans
人类社会决策的计算和电化学基础
  • 批准号:
    10640947
  • 财政年份:
    2020
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and electrochemical substrates of social decision-making in humans
人类社会决策的计算和电化学基础
  • 批准号:
    10227238
  • 财政年份:
    2020
  • 资助金额:
    $ 54.96万
  • 项目类别:
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and Perseverance
成瘾异质性、冲动性和毅力的神经计算机制
  • 批准号:
    9980853
  • 财政年份:
    2019
  • 资助金额:
    $ 54.96万
  • 项目类别:
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and Perseverance
成瘾异质性、冲动性和毅力的神经计算机制
  • 批准号:
    9809076
  • 财政年份:
    2019
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and Neural Modeling of Cue Reactivity in Addiction
成瘾中提示反应的计算和神经建模
  • 批准号:
    10197070
  • 财政年份:
    2018
  • 资助金额:
    $ 54.96万
  • 项目类别:
Computational and Neural Modeling of Cue Reactivity in Addiction
成瘾中提示反应的计算和神经建模
  • 批准号:
    10434013
  • 财政年份:
    2018
  • 资助金额:
    $ 54.96万
  • 项目类别:

相似海外基金

Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
  • 批准号:
    MR/S03398X/2
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
  • 批准号:
    EP/Y001486/1
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
  • 批准号:
    2338423
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
  • 批准号:
    MR/X03657X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
  • 批准号:
    2348066
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
  • 批准号:
    AH/Z505481/1
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    EU-Funded
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
  • 批准号:
    2341402
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Standard Grant
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
  • 批准号:
    AH/Z505341/1
  • 财政年份:
    2024
  • 资助金额:
    $ 54.96万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了