Thalamic cortical dysfunction and predictors of relapse in cocaine dependence
丘脑皮质功能障碍和可卡因依赖复发的预测因素
基本信息
- 批准号:9124840
- 负责人:
- 金额:$ 16.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-08-15 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectiveAlcohol consumptionAlgorithmsAnxietyAwardBehaviorBehavioralBiological MarkersBiologyBrainBrain imagingCerebrumCharacteristicsChronicClinicalClinical TrialsCluster AnalysisCocaineCocaine DependenceCocaine UsersCognitiveCognitive deficitsCollaborationsComplementComputing MethodologiesCuesDimensionsDoctor of PhilosophyDrug usageEmotionalEngineeringEtiologyExperimental PsychologyFunctional Magnetic Resonance ImagingFunctional disorderFundingGenderGoalsGrantGrowthHealthHeterogeneityHumanImaging TechniquesImpulsivityIndividualKnowledgeLogisticsMediatingMentored Research Scientist Development AwardMentorsMethodsModelingNational Institute of Drug AbuseNeuropsychological TestsNeurosciencesNeurosciences ResearchPatientsPattern RecognitionPersonality TraitsPlayPreparationProcessPsychophysiologyPublic HealthRelapseRequest for ApplicationsResearchResearch PersonnelResearch Project GrantsResourcesRestRoleSeedsSeriesStructureSubstance Use DisorderSubstance abuse problemSystemThalamic structureTimeTrainingUniversitiesVoiceWorkWritingaddictionbasecareerclinically relevantcocaine usecognitive controlcognitive functioncognitive systemcohortcravingdesignfaculty researchindependent component analysisindividual patientneuroimagingneuropsychiatric disordernovelrelapse predictionrelating to nervous systemreward processingspeech processingsubstance misusetraining project
项目摘要
DESCRIPTION (provided by applicant): This application requests 5 years of funding through the K25 Mentored Quantitative Research Scientist Development Award mechanism. With a Ph.D. degree in engineering, the candidate received additional training in experimental psychology, focusing specifically on human emotional speech processing and voice pattern recognition. As a postdoctoral associate and, more recently, a research faculty at Yale University, he conducted numerous fMRI studies on healthy individuals and patients with substance use disorders. The candidate's career goals are to build on an extensive background in engineering and computation and continue to develop advanced, novel computational methods to investigate altered cerebral function and connectivity as a circuit level biomarker of substance misuse. The support of this K25 award will provide time and resources for him to solidify his knowledge of brain structure and function and facilitate an independent career in addiction neuroscience research. His training plan will cover: 1) systems, cognitive, and addiction neuroscience through formal course work and research collaboration with his mentors; 2) neuroimaging, with a specific focus on state-of-the-art imaging techniques, experimental psychology, and design of fMRI studies; 3) biology, treatment, and clinical trials research of substance abuse; 4) scientific writing; and 5) grant preparation. To implement this training plan,
the candidate has assembled an outstanding team of mentors and proposed to use a novel computational approach to understand how thalamic cortical functions are compromised and how these deficits are related to relapse in chronic cocaine users. Specifically, he proposed to employ resting state and task-modulated connectivity analysis to functionally parcellate the thalamus during resting, cognitive control, reward processing and cue-induced craving, and to investigate how thalamic cortical circuit functions are altered in individuals with cocaine dependence. With the concurrent support of an ongoing R01 study, the candidate will study more than 250 cocaine dependent patients in a longitudinal setting to identify thalamic cortical predictors of relapse. The study will thus advance our understanding of the etiological processes of cocaine addiction in multiple dimensions. The study may also facilitate research of other neuropsychiatric disorders through its new conceptual and methodological platform. By completing the proposed training and research projects, the candidate will benefit extensively from the support of this K25 award in achieving his career goal to become an independent investigator in systems and addiction neuroscience research.
描述(由申请者提供):本申请通过K25导师量化研究科学家发展奖机制申请5年的资助。拥有工程学博士学位的候选人还接受了实验心理学方面的额外培训,重点是人类情感语音处理和语音模式识别。作为一名博士后助理和最近在耶鲁大学的研究人员,他对健康人和有药物使用障碍的患者进行了大量的功能磁共振研究。候选人的职业目标是在工程和计算方面建立广泛的背景,并继续开发先进的、新颖的计算方法,作为物质滥用的电路水平生物标志物来研究大脑功能和连通性的变化。这项K25奖项的支持将为他提供时间和资源,以巩固他对大脑结构和功能的知识,并促进他在成瘾神经科学研究方面的独立职业生涯。他的培训计划将包括:1)通过与导师的正式课程工作和研究合作,进行系统、认知和成瘾神经科学;2)神经成像,特别关注最先进的成像技术、实验心理学和功能磁共振研究的设计;3)药物滥用的生物学、治疗和临床试验研究;4)科学写作;5)拨款准备。为了实施这一培训计划,
这位候选人组建了一个杰出的导师团队,并提议使用一种新的计算方法来了解丘脑皮质功能是如何受损的,以及这些缺陷与慢性可卡因使用者的复发有何关系。具体地说,他建议使用休息状态和任务调节的连接性分析,在休息、认知控制、奖励处理和线索诱导的渴望过程中对丘脑进行功能分离,并调查可卡因依赖者丘脑皮质回路功能是如何改变的。在一项正在进行的R01研究的同时,候选人将对250多名可卡因依赖患者进行纵向研究,以确定丘脑皮质复发的预测因素。因此,这项研究将从多个维度促进我们对可卡因成瘾的病因过程的理解。这项研究还可能通过其新的概念和方法平台促进其他神经精神障碍的研究。通过完成拟议的培训和研究项目,候选人将从K25奖项的支持中广泛受益,从而实现他的职业目标,成为系统和成瘾神经科学研究的独立研究员。
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 }}
SHENG ZHANG其他文献
SHENG ZHANG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('SHENG ZHANG', 18)}}的其他基金
Thalamic cortical dysfunction and predictors of relapse in cocaine dependence
丘脑皮质功能障碍和可卡因依赖复发的预测因素
- 批准号:
9319698 - 财政年份:2015
- 资助金额:
$ 16.7万 - 项目类别:
相似海外基金
Affective Computing Models: from Facial Expression to Mind-Reading
情感计算模型:从面部表情到读心术
- 批准号:
EP/Y03726X/1 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Research Grant
Early Life Antecedents Predicting Adult Daily Affective Reactivity to Stress
早期生活经历预测成人对压力的日常情感反应
- 批准号:
2336167 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
RAPID: Affective Mechanisms of Adjustment in Diverse Emerging Adult Student Communities Before, During, and Beyond the COVID-19 Pandemic
RAPID:COVID-19 大流行之前、期间和之后不同新兴成人学生社区的情感调整机制
- 批准号:
2402691 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Standard Grant
Affective Computing Models: from Facial Expression to Mind-Reading ("ACMod")
情感计算模型:从面部表情到读心术(“ACMod”)
- 批准号:
EP/Z000025/1 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Research Grant
Interface: Transplants, Aesthetics and Technology (Previously About Face: The affective and cultural history of face transplants)
界面:移植、美学和技术(之前关于面部:面部移植的情感和文化历史)
- 批准号:
MR/Y011627/1 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Fellowship
Individual differences in affective processing and implications for animal welfare: a reaction norm approach
情感处理的个体差异及其对动物福利的影响:反应规范方法
- 批准号:
BB/X014673/1 - 财政年份:2024
- 资助金额:
$ 16.7万 - 项目类别:
Research Grant
Tracing the brain mechanisms of affective touch.
追踪情感触摸的大脑机制。
- 批准号:
23K19678 - 财政年份:2023
- 资助金额:
$ 16.7万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Affective and Immaterial Labour in Latin(x) American Culture
拉丁美洲文化中的情感和非物质劳动
- 批准号:
AH/V015834/2 - 财政年份:2023
- 资助金额:
$ 16.7万 - 项目类别:
Fellowship
Imagination under Racial Capitalism: the Affective Salience of Racialised and Gendered Tropes of 'Black excellence'
种族资本主义下的想象力:“黑人卓越”的种族化和性别化比喻的情感显着性
- 批准号:
2889627 - 财政年份:2023
- 资助金额:
$ 16.7万 - 项目类别:
Studentship
Home/bodies: Exploring the affective experiences of people at home using scenographic practice and ecological thinking
家/身体:利用场景实践和生态思维探索人们在家中的情感体验
- 批准号:
2888014 - 财政年份:2023
- 资助金额:
$ 16.7万 - 项目类别:
Studentship