Connectomes Related to Anxiety and Depression in Adolescents
与青少年焦虑和抑郁相关的连接组
基本信息
- 批准号:9763085
- 负责人:
- 金额:$ 36.15万
- 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:2018-11-28 至 2020-06-30
- 项目状态:已结题
- 来源:
- 关键词:15 year oldAccidentsAcuteAdherenceAdolescenceAdolescentAdolescent and Young AdultAdultAffectAgeAmygdaloid structureAnxietyAnxiety DisordersAreaAtlasesBase of the BrainBehavioralBostonBrainCategoriesCause of DeathClinicClinicalCollaborationsCommunitiesCorpus striatum structureDataData CollectionData SetDetectionDevelopmentDiagnosisDiagnosticDiffusion Magnetic Resonance ImagingDiseaseEmotionsExpectancyFaceFrightFunctional Magnetic Resonance ImagingFunding OpportunitiesGamblingGeneral HospitalsHospitalsHumanImageInstitutesLiteratureLongevityMagnetic Resonance ImagingMassachusettsMeasuresMedialMental DepressionMental disordersMethodsMidbrain structureMood DisordersMorphologic artifactsNational Institute of Mental HealthNegative ValenceParticipantPatient Self-ReportPatientsPhysiologicalPlant RootsPositioning AttributePositive ValencePrefrontal CortexProtocols documentationPsychiatric DiagnosisPublic HealthResearchResearch Domain CriteriaResearch PersonnelResourcesRestRewardsSamplingSourceStructureSubstance abuse problemSuicideSystemTechnologyUnited States National Institutes of HealthUniversitiesVariantVentral StriatumVentral Tegmental AreaWashingtonattentional biasbioimagingconditioned fearconnectomeexperienceflyhuman diseaseinterestneural networkneuroimagingprismareconstructionrecruitresponsereward expectancytoolwhite matter
项目摘要
This proposal is submitted in response to NIH Funding Opportunity Connectome Related to Human Disease
(U01) and in response to NIMH's priority/disease area of interest mood and anxiety disorders. This is a
collaborative effort among researchers at the Massachusetts General Hospital (MGH), Massachusetts Institute
of Technology (MIT), McLean Hospital, Boston University, and the Human Connectome Project (HCP) at
Washington University in St. Louis. We believe that the combination of (1) state-of-the art MRI technology and
methods at the MGH Martinos Center for Biomedical Imaging, (2) an active collaboration with the HCP to
validate neuroimaging harmonization, (3) a Boston-wide consortium of experienced and expert clinical
researchers, and (4) a transdiagnostic focus across the anxiety and depression spectrum can deliver a high-
quality dataset that meets the specification of the Funding Opportunity. We propose to focus on an area of
great clinical need and public health implication: better understanding of psychiatric disorders in adolescence.
We target anxiety and depression as diseases that affect many adolescents across multiple traditional
psychiatric diagnoses, that are strongly associated with two leading causes of death in adolescents and young
adults (suicide and substance-abuse related accidents), and that are understood to frequently have
developmental roots leading to lifelong psychiatric disorders. Our research approach is guided by two
principles (1) careful adherence to HCP protocols so as to develop large-scale, integrated, and growing data
sets available to the scientific community, and (2) a research approach aligned with two constructs from the
NIMH Research Domain Criteria Project (RDoC), specifically: (a) the “Acute Threat/Fear” construct, which is
associated with atypical structure and function in specific neural networks, especially amygdala, orbitofrontal
cortex (OFC), and ventral medial prefrontal cortex (vmPFC); and (b) the “Reward Prediction Error” construct,
which is associated with OFC, ventral striatum, and the midbrain ventral tegmental area. Across four years we
aim to (1) operationalize MRI data collection and behavioral characterization that is harmonized and validated
with the Human Connectome Project (HCP); (2) recruit and characterize clinically and behaviorally, 225
adolescents ages 14-15 with and without anxiety and/or depression (180 patients, 45 controls); and (3) perform
and analyze HCP imaging with participants. We hypothesize that greater activation in the amygdala-OFC
circuit will correlate with more severe scores on measures of fear, and that lesser activation of the striatal-OFC
circuit will correlate with more severe scores on measures of reward-error expectancy. We will also (a)
examine whether neuroimaging analyses are enhanced with artifact-detection tools and physiological aliasing
correction that are publicly available and could be integrated with the HCP, and (b) create an age-specific
human tract atlas and tools for automated reconstruction of white-matter tracts involved in the above circuits,
which will also be made publicly available.
本提案是对美国国立卫生研究院资助机会与人类疾病相关的Connectome的回应
(U01),并针对NIMH的优先/感兴趣疾病领域、情绪和焦虑症。这是一个
麻省理工学院马萨诸塞州综合医院(MGH)的研究人员之间的合作努力
麻省理工学院(MIT)、波士顿大学麦克莱恩医院和人类连接组项目(HCP)
华盛顿大学圣路易斯分校。我们相信(1)最先进的核磁共振技术和
方法在MGH Martinos生物医学成像中心,(2)与HCP积极合作,以
验证神经成像协调,(3)波士顿范围内经验丰富的临床专家联盟
研究人员,以及(4)跨焦虑和抑郁谱系的跨诊断焦点可以提供高-
符合资助机会规格的高质量数据集。我们建议将重点放在以下领域
巨大的临床需求和公共卫生含义:更好地理解青春期精神障碍。
我们将焦虑和抑郁作为影响许多青少年的疾病,这些疾病跨越多个传统
精神病学诊断,与青少年和青少年死亡的两个主要原因密切相关
成年人(自杀和药物滥用相关事故),据了解经常有
导致终生精神障碍的发育根源。我们的研究方法以两个方面为指导
原则(1)认真遵守HCP协议,以开发大规模、集成和不断增长的数据
可供科学界使用的集合,以及(2)与来自
NIMH研究领域标准项目(RDoC),具体地说:(A)“急性威胁/恐惧”概念,即
与特定神经网络中的非典型结构和功能有关,特别是杏仁核、眶前叶
大脑皮层(OFC)和腹侧前额叶皮质(VmPFC);以及(B)“奖励预测误差”结构,
它与OFC、腹侧纹状体和中脑腹侧被盖区有关。四年来,我们
目的:(1)可操作的MRI数据收集和行为特征的协调和验证
人类连接组计划(HCP);(2)招募和描述临床和行为特征,225
有或没有焦虑和/或抑郁的14-15岁青少年(180名患者,45名对照);以及(3)
并与参与者一起分析HCP成像。我们假设杏仁核-OFC中更大的激活
环路将与恐惧测量中更严重的分数相关,纹状体-OFC的激活程度更低
赛道将与更严重的奖励错误预期测量分数相关。我们还将(A)
检查是否使用伪影检测工具和生理性混叠增强了神经成像分析
可公开获得并可与母婴健康方案整合的矫正,以及(B)创建特定于年龄的
上述回路中涉及的白质束自动重建的人体束图和工具,
它也将公开可用。
项目成果
期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Convergence, preliminary findings and future directions across the four human connectome projects investigating mood and anxiety disorders.
- DOI:10.1016/j.neuroimage.2021.118694
- 发表时间:2021-12-15
- 期刊:
- 影响因子:5.7
- 作者:Tozzi L;Anene ET;Gotlib IH;Wintermark M;Kerr AB;Wu H;Seok D;Narr KL;Sheline YI;Whitfield-Gabrieli S;Williams LM
- 通讯作者:Williams LM
Treatments for internet addiction, sex addiction and compulsive buying: A meta-analysis.
- DOI:10.1556/2006.2020.00005
- 发表时间:2020-04-01
- 期刊:
- 影响因子:7.8
- 作者:Goslar M;Leibetseder M;Muench HM;Hofmann SG;Laireiter AR
- 通讯作者:Laireiter AR
Formalizing psychological interventions through network control theory.
- DOI:10.1038/s41598-023-40648-x
- 发表时间:2023-08-24
- 期刊:
- 影响因子:4.6
- 作者:
- 通讯作者:
Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review.
- DOI:10.1176/appi.ajp.2020.20060864
- 发表时间:2021-07
- 期刊:
- 影响因子:17.7
- 作者:Mann, J. John;Michel, Christina A.;Auerbach, Randy P.
- 通讯作者:Auerbach, Randy P.
Automated detection of axonal damage along white matter tracts in acute severe traumatic brain injury.
- DOI:10.1016/j.nicl.2022.103294
- 发表时间:2023
- 期刊:
- 影响因子:4.2
- 作者:Maffei, Chiara;Gilmore, Natalie;Snider, Samuel B.;Foulkes, Andrea S.;Bodien, Yelena G.;Yendiki, Anastasia;Edlow, Brian L.
- 通讯作者:Edlow, Brian L.
{{
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 }}
JOHN GABRIELI其他文献
JOHN GABRIELI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('JOHN GABRIELI', 18)}}的其他基金
Connectomes Related to Anxiety and Depression in Adolescents
与青少年焦虑和抑郁相关的连接组
- 批准号:
9234808 - 财政年份:2016
- 资助金额:
$ 36.15万 - 项目类别:
Connectomes Related to Anxiety and Depression in Adolescents
与青少年焦虑和抑郁相关的连接组
- 批准号:
8968383 - 财政年份:2015
- 资助金额:
$ 36.15万 - 项目类别:
Connectomes Related to Anxiety and Depression in Adolescents
与青少年焦虑和抑郁相关的连接组
- 批准号:
9145279 - 财政年份:2015
- 资助金额:
$ 36.15万 - 项目类别:
Brain Function and Structure in Young Children at Familial Risk for Schizophrenia
有精神分裂症家族风险的幼儿的脑功能和结构
- 批准号:
8241537 - 财政年份:2012
- 资助金额:
$ 36.15万 - 项目类别:
Learned regulation of the limbic network via combined EEG and fMRI
通过脑电图和功能磁共振成像的结合学习边缘网络的调节
- 批准号:
8464276 - 财政年份:2012
- 资助金额:
$ 36.15万 - 项目类别:
Brain Function and Structure in Young Children at Familial Risk for Schizophrenia
有精神分裂症家族风险的幼儿的脑功能和结构
- 批准号:
8424970 - 财政年份:2012
- 资助金额:
$ 36.15万 - 项目类别:
Learned regulation of the limbic network via combined EEG and fMRI
通过脑电图和功能磁共振成像的结合学习边缘网络的调节
- 批准号:
8302045 - 财政年份:2012
- 资助金额:
$ 36.15万 - 项目类别:
Brain Bases of Language Deficits in SLI and ASD
SLI 和 ASD 语言缺陷的大脑基础
- 批准号:
8702141 - 财政年份:2011
- 资助金额:
$ 36.15万 - 项目类别:
Brain Bases of Language Deficits in SLI and ASD
SLI 和 ASD 语言缺陷的大脑基础
- 批准号:
8313906 - 财政年份:2011
- 资助金额:
$ 36.15万 - 项目类别:
Brain Bases of Language Deficits in SLI and ASD
SLI 和 ASD 语言缺陷的大脑基础
- 批准号:
8512696 - 财政年份:2011
- 资助金额:
$ 36.15万 - 项目类别:
相似海外基金
Factors and effect of visual inattention on fall accidents
视觉注意力不集中对坠落事故的影响因素及影响
- 批准号:
23K19000 - 财政年份:2023
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
SBIR Phase I: Comprehensive, Human-Centered, Safety System Using Physiological and Behavioral Sensing to Predict and Prevent Workplace Accidents
SBIR 第一阶段:利用生理和行为感知来预测和预防工作场所事故的综合性、以人为本的安全系统
- 批准号:
2321538 - 财政年份:2023
- 资助金额:
$ 36.15万 - 项目类别:
Standard Grant
Preventing Accidents in School lunch for Food Allergies: Consideration of Strategies and Development of Support Applications.
预防学校午餐中的食物过敏事故:考虑策略和开发支持应用程序。
- 批准号:
23K01977 - 财政年份:2023
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Political Geographies of Human Accidents and Trauma Care in Mumbai's Commuter Railways
孟买通勤铁路中人类事故和创伤护理的政治地理
- 批准号:
ES/X006239/1 - 财政年份:2022
- 资助金额:
$ 36.15万 - 项目类别:
Fellowship
Multiscale, Multi-fidelity and Multiphysics Bayesian Neural Network (BNN) Machine Learning (ML) Surrogate Models for Modelling Design Based Accidents
用于基于事故建模设计的多尺度、多保真度和多物理场贝叶斯神经网络 (BNN) 机器学习 (ML) 替代模型
- 批准号:
2764855 - 财政年份:2022
- 资助金额:
$ 36.15万 - 项目类别:
Studentship
OTIMO - Applying telematics to the learner driver market through innovations in AI and behavioural intervention, to improve driving and reduce accidents.
OTIMO - 通过人工智能和行为干预创新,将远程信息处理应用于学习驾驶员市场,以改善驾驶并减少事故。
- 批准号:
10035763 - 财政年份:2022
- 资助金额:
$ 36.15万 - 项目类别:
Collaborative R&D
Comprehensive safety strategy to achieve reducing accidents of central venous access port catheter rapture
综合安全策略,实现减少中心静脉通路导管断裂事故
- 批准号:
22K17330 - 财政年份:2022
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Practical application of exposure dose evaluation method by DNA damage analysis for radiation exposure accidents
DNA损伤分析照射剂量评估方法在辐射事故中的实际应用
- 批准号:
21H01861 - 财政年份:2021
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Computational Scientific Study on Mechanism of Multiphase Thermal-Hydraulic Phenomena Related to IVR in Core Disruptive Accidents
堆芯破坏性事故中与IVR相关的多相热工水力现象机理的计算科学研究
- 批准号:
21K04944 - 财政年份:2021
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
An Australian Pilot Study of an Injury Prediction Algorithm for Early Rescue in Word Car Accidents
澳大利亚针对世界车祸早期救援的伤害预测算法的试点研究
- 批准号:
21H01578 - 财政年份:2021
- 资助金额:
$ 36.15万 - 项目类别:
Grant-in-Aid for Scientific Research (B)