ABCD Workshop on Brain Development in Relation to Mental Health
ABCD Workshop on Brain Development in Relation to Mental Health
批准号:
9751007
负责人:
Kathryn L Mills
金额:
$11.16万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-06-01 至 2020-05-31
关键词:
AreaAttentionBrainBrain imagingChild RearingClassificationClinicalCodeCollaborationsCommunitiesCompetenceDataData AnalysesData SetDevelopmentDiagnosticDimensionsEducational process of instructingEducational workshopEnvironmentEnvironmental Risk FactorFinancial HardshipFosteringFundingGoalsImmersion Investigative TechniqueInstructionInvestigationKnowledgeLearningMagnetic Resonance ImagingMental HealthMethodologyMethodsOutcomePaperParticipantPsychopathologyPublishingReproducibilityRequest for ApplicationsResearchResearch PersonnelScholarshipScientistStructureTechniquesTrainingWorkbasecareerdesigndisabilityhackathonneuroimagingonline repositoryopen datapredictive modelingrecruitskillssocialsocial inequalitysymposiumtheoriestool
中文摘要
项目概要/摘要
翻译后摘要:该项目将资助为期五天的沉浸式研讨会,将准备初级和高级
研究人员都希望利用ABCD数据来研究大脑发育与以下方面的关系:
心理健康该研讨会将重点培训研究人员对可重复的神经成像
方法、预测建模方法和临床心理健康结果,
注重理论与应用。研讨会将由教学,辅导,
圆桌会议、分组会议和开放式黑客组件。研讨会与会者将
通过参加黑客挑战赛,立即应用他们在研讨会上学到的知识
开发基于脑成像数据的心理健康相关结果的分类工具,
同时注意相关的社会和环境因素。本次研讨会的主要成果
将是研究人员离开的答案,有关分析ABCD数据与新的
开发的工具,更深入地了解这些工具背后的理论,以及
高维数据的分析考虑。这将包括方法培训
关于临床结果和促进计算之间的合作的考虑
和临床研究人员的职业生涯。本次研讨会的另一个主要目的是
促进国家努力使训练有素的生物医学研究人员多样化,
通过消除与以下方面相关的参与障碍来招募多样化的与会者群体:
社会不平等,包括经济负担,养育子女或残疾,并通过创造一个安全和
工作坊期间的温馨氛围。本次研讨会的近期目标是
参加者获得以下能力:a)分析和统计知识
特定于大型开放数据集的考虑; B)如何进行可重复的研究,
强调神经成像; c)预测建模背后的理论知识和能力,
应用新开发的工具; d)设计和执行具有临床意义的研究
(e)确定影响发展的社会和环境因素;
精神病理学;和f)与来自不同背景的研究人员交流,
跨学科团队拟议讲习班的传播目标包括出版
论文,在会议上发表,并开发任何代码或分析技术
在研讨会期间,可在更广泛的研究界的在线知识库中查阅。很长的-
本研讨会的长期目标是在研究人员之间形成可持续的跨学科网络
来自开发、临床和计算背景,因为这些专业领域都是
来增进我们对心理健康的理解
英文摘要
Project Summary/Abstract
Abstract: This project will fund a five-day immersive workshop that will prepare junior and senior
researchers alike to utilize the ABCD data for investigations of brain development in relation to
mental health. The workshop will focus on training researchers on reproducible neuroimaging
methods, predictive modeling approaches, and clinical mental health outcomes, with equal
emphasis on theory and application. The workshop will be composed of instructional, tutorial,
roundtable, break-out session, and open hacking components. Workshop attendees will
immediately apply what they learn during the workshop by competing in a hackathon challenge
to develop classification tools for mental health related outcomes based on brain imaging data,
with attention to relevant social and environmental factors. The main outcome of this workshop
will be that researchers leave with answers to questions about analyzing ABCD data with newly
developed tools, with a deeper understanding of the theory behind these tools as well as
analytic considerations for highly dimensional data. This will include training on methodological
considerations regarding clinical outcomes and fostering collaboration between computational
and clinical researchers across career stages. Another principal aim of this workshop is to
contribute to national efforts to diversify the pool of highly trained biomedical researchers by
recruiting a diverse group of attendees by eliminating participation barriers associated with
social inequality, including financial burden, parenting, or disability, and by creating a safe and
welcoming environment during the workshop. The immediate goal of this workshop is for
attendees to acquire the following competencies: a) knowledge of analytical and statistical
considerations specific to large, open datasets; b) how to conduct reproducible research, with
emphasis on neuroimaging; c) knowledge of theory behind predictive modeling and ability to
apply newly developed tools; d) design and execute investigations with clinically meaningful
outcomes; e) identify social and environmental factors that impact the development of
psychopathology; and f) communicate with researchers from diverse backgrounds and build
interdisciplinary teams. The dissemination goals of the proposed workshop include publishing
papers, presenting at conferences, and making any code or analytic techniques developed
during the workshop available in online repositories for the broader research community. A long-
term goal of this workshop is to form sustainable interdisciplinary networks between researchers
from development, clinical, and computational backgrounds as these areas of expertise are all
needed to advance our understanding of mental health.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.jpsychires.2021.02.038
发表时间:
2021-04
期刊:
Journal of psychiatric research
影响因子:
4.8
作者:
[Bohon C, Welch H]
通讯作者:
Welch H
DOI:
10.1038/s41467-021-27336-y
发表时间:
2021-12-10
期刊:
Nature communications
影响因子:
16.6
作者:
[Ellwood-Lowe ME, Whitfield-Gabrieli S, Bunge SA]
通讯作者:
Bunge SA
DOI:
10.1016/j.dcn.2020.100902
发表时间:
2021-03
期刊:
Developmental cognitive neuroscience
影响因子:
4.7
作者:
[Klapwijk ET, van den Bos W, Tamnes CK, Raschle NM, Mills KL]
通讯作者:
Mills KL
Modeling Developmental Change in the ABCD Study: Longitudinal Analyses for Clinical Outcomes
-
批准号:10043873
-
项目类别:
-
资助金额:$12.18万
-
财政年份:2020
-
负责人:Kathryn L Mills
-
依托单位:
国内基金
海外基金
多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
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批准号:--
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资助金额:30万元
-
批准年份:2022
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负责人:郑巧
-
依托单位:
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
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批准号:--
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项目类别:面上项目
-
资助金额:52万元
-
批准年份:2022
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负责人:陈立达
-
依托单位: