Development and Use of rtfMRI for Self-control of Nicotine Craving
rtfMRI 的开发和使用用于自我控制尼古丁渴望
基本信息
- 批准号:8282904
- 负责人:
- 金额:$ 53.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-15 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAlgorithmsAnteriorAreaAuditory areaBiologicalBrainBrain regionCerebrovascular CirculationCharacteristicsChronic DiseaseCigaretteClassificationClinicalCocaineComputer softwareDataData SetDevelopmentDiseaseDrug AddictionElementsEvaluationFeedbackFunctional Magnetic Resonance ImagingFutureGeneral PopulationGoalsIndividualIndividual DifferencesInstructionInsula of ReilInvestigationKnowledgeLeadLearningLocationMachine LearningMeasurementMeasuresMethodologyMethodsModelingNicotineNicotine DependenceOpiatesOutcomePainPatientsPatternPerformancePharmaceutical PreparationsPlacebo ControlPlacebo EffectPlacebosPrevalenceProceduresProcessPublic HealthReal-Time SystemsRecurrenceRegression AnalysisReproducibilitySamplingSelf-control as a personality traitSignal TransductionSolutionsSpin LabelsSubstance Use DisorderSubstance of AbuseTechniquesTestingTimeTrainingTraining TechnicsTreatment outcomeVariantabstractingaddictionalternative treatmentbaseblood flow measurementblood oxygen level dependentcingulate cortexcravingexpectationexperiencehemodynamicsheuristicsimprovedinterestmathematical modelmultidisciplinaryneurofeedbacknicotine cravingreconstructionrelating to nervous systemresearch studyresponsesubstance abuse treatmentvectorvisual feedbackvisual motorvolunteer
项目摘要
Project Summary Abstract
This proposal aims to study the application of functional magnetic resonance imaging in real time
(rtfMRI) as an operant training feedback mechanism for treating substance use disorders. Recent
data suggest that individuals can reduce activity in some brain regions (e.g. anterior cingulate cortex,
anterior insula, auditory cortex when they are presented with information about activation in that brain
region. Experimental and clinical pain have been reduced with rtfMRI signal feedback from the rostral
anterior cingulate in a manner proportional to reductions in the blood oxygenation level dependent
(BOLD) signal from that region. These regions overlap with those involved in the effets of substances
of abuse and the development of substance use disorders (SUDs). The initial information opens the
possibility of applying neurofeedback to improve treatment outcomes in patient samples. The present
application seeks to expand the investigation of these processes and validate their applicability to
substance dependent volunteers. In initial studies we will examine the capacity of nicotine dependent
volunteers to reduce their craving for cigarettes. This substance was selected for its high retention
rates and prevalence and public health burden in the general population, but it is expected that future
studies would explore other forms of addiction (e.g. cocaine, opiates). Our multidisciplinary team
proposes to advance current knowledge in this area by: (1) using data not from a single brain region,
but from networks involved in nicotine craving and dependence, thereby accounting for inter-
individual differences in brain regional activation patterns during nicotine craving; (2) developing a
quantifiable method by using arterial spin labeling (ASL); and (3) determining the influence of
individual expectations on these processes (e.g. assessing the degree to which these effects are
attributable to placebo-related responding). The developmental and experimental elements of this
proposal will lead to new avenues for treatment that would be readily generalizable to other forms of
drug addiction besides nicotine, and potentially impacting on the outcomes of the substantial numbers
of individuals seeking substance abuse treatment.
项目摘要摘要
该方案旨在研究实时功能磁共振成像的应用
(RtfMRI)作为治疗物质使用障碍的操作员训练反馈机制。近期
数据表明,个体可以减少某些脑区的活动(例如,前扣带回皮质,
当他们被呈现关于大脑激活信息时,前脑岛,听觉皮质
区域。从吻部反馈rtfmri信号可以减少实验和临床疼痛。
前扣带回与血液氧合水平的降低成正比
(粗体)来自该地区的信号。这些区域与参与物质效应的区域重叠。
滥用和物质使用障碍(SUDS)的发展。初始信息将打开
应用神经反馈改善患者样本治疗结果的可能性。现在
申请旨在扩大对这些过程的调查,并验证它们对
物质依赖型志愿者。在最初的研究中,我们将检查尼古丁依赖的能力
志愿者减少他们对香烟的渴望。选择这种物质是因为它的保留率很高。
一般人口的发病率、流行率和公共卫生负担,但预计未来
研究将探索其他形式的成瘾(例如可卡因、鸦片类药物)。我们的多学科团队
建议通过以下方式推进这一领域的现有知识:(1)使用不是来自单一大脑区域的数据,
而是来自参与尼古丁渴求和依赖的网络,从而解释了
尼古丁渴求时大脑区域激活模式的个体差异;(2)发展为
用动脉自旋标记(ASL)定量的方法;(3)测定
个人对这些过程的期望(例如,评估这些影响的程度
归因于与安慰剂相关的反应)。它的发展和实验要素
建议将导致新的治疗途径,很容易推广到其他形式的
除尼古丁外,吸毒成瘾,并可能对相当数量的人的结果产生影响
寻求药物滥用治疗的个人。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Support vector machine classification of arterial volume-weighted arterial spin tagging images.
- DOI:10.1002/brb3.549
- 发表时间:2016-12
- 期刊:
- 影响因子:3.1
- 作者:Shah, Yash S.;Hernandez-Garcia, Luis;Jahanian, Hesamoddin;Peltier, Scott J.
- 通讯作者:Peltier, Scott J.
{{
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 }}
Mark K Greenwald其他文献
Mark K Greenwald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('Mark K Greenwald', 18)}}的其他基金
Development of cebranopadol, a potent dual MOP/NOP agonist, for the treatment of Opioid Use Disorder (OUD)
开发cebranopadol,一种有效的双重MOP/NOP激动剂,用于治疗阿片类药物使用障碍(OUD)
- 批准号:
10759100 - 财政年份:2023
- 资助金额:
$ 53.31万 - 项目类别:
Planning a Multi-Level Intervention to Reduce Substance Use Stigma in HIV Prevention and Care
规划多层次干预措施以减少艾滋病毒预防和护理中的药物使用耻辱
- 批准号:
10669764 - 财政年份:2021
- 资助金额:
$ 53.31万 - 项目类别:
Behavioral Economic Analysis of Medical Marijuana Use in HIV+ Patients
HIV 患者使用医用大麻的行为经济学分析
- 批准号:
8331559 - 财政年份:2011
- 资助金额:
$ 53.31万 - 项目类别:
Behavioral Economic Analysis of Medical Marijuana Use in HIV+ Patients
HIV 患者使用医用大麻的行为经济学分析
- 批准号:
8484810 - 财政年份:2011
- 资助金额:
$ 53.31万 - 项目类别:
Behavioral Economic Analysis of Medical Marijuana Use in HIV+ Patients
HIV 患者使用医用大麻的行为经济学分析
- 批准号:
8228758 - 财政年份:2011
- 资助金额:
$ 53.31万 - 项目类别:
Human Laboratory Model of Cocaine Treatment: Behavioral Economic Analysis
可卡因治疗的人体实验室模型:行为经济学分析
- 批准号:
7894996 - 财政年份:2009
- 资助金额:
$ 53.31万 - 项目类别:
Human Laboratory Model of Cocaine Treatment: Behavioral Economic Analysis
可卡因治疗的人体实验室模型:行为经济学分析
- 批准号:
7697838 - 财政年份:2009
- 资助金额:
$ 53.31万 - 项目类别:
Development and Use of rtfMRI for Self-control of Nicotine Craving
rtfMRI 的开发和使用用于自我控制尼古丁渴望
- 批准号:
7588461 - 财政年份:2008
- 资助金额:
$ 53.31万 - 项目类别:
Development and Use of rtfMRI for Self-control of Nicotine Craving
rtfMRI 的开发和使用用于自我控制尼古丁渴望
- 批准号:
8087596 - 财政年份:2008
- 资助金额:
$ 53.31万 - 项目类别:
Development and Use of rtfMRI for Self-control of Nicotine Craving
rtfMRI 的开发和使用用于自我控制尼古丁渴望
- 批准号:
8104244 - 财政年份:2008
- 资助金额:
$ 53.31万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 53.31万 - 项目类别:
Research Grant