Infant Brain and Behavioral Signatures of Later Emerging Risk for Psychopathology

婴儿大脑和后来出现的精神病理学风险的行为特征

基本信息

批准号：
9454557
负责人：
Jed Thomas Elison
金额：
$ 43.84万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-07-29 至 2020-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9454557
关键词：
Acceleration Adaptive Behaviors Age Age-Months Anxiety Disorders Arousal Attention Attention deficit hyperactivity disorder Autacoids Autistic Disorder Behavior Behavior assessment Behavioral Biological Psychiatry Brain Brain imaging Brain region Child Child Behavior Checklist Clinical Cognitive Complement Coupled Data Development Developmental Process Dimensions Disease Early Intervention Early identification Emotional Event Eye Foundations Functional Magnetic Resonance Imaging Functional disorder Future Goals Head Human Impairment Individual Differences Infant Interview Life Link Longevity Maps Mental disorders Mood Disorders National Institute of Mental Health Neurodevelopmental Disorder Neurosciences Neurosciences Research Nursery Schools Outcomes Research Parents Participant Pathway interactions Pattern Preschool Child Prevalence Prevention Preventive Intervention Procedures Psychopathology Questionnaires Reporting Research Research Domain Criteria Research Proposals Rest Risk Sampling Schizophrenia Science Series Structure Technology Testing Time Toddler United States National Institutes of Health aged attentional bias behavioral construct behavioral impairment brain behavior clinical predictors clinically relevant connectome design flexibility infancy innovation neural circuit neuroimaging novel postnatal public health relevance relating to nervous system social social communication symptomatology time interval vigilance

项目摘要

DESCRIPTION (provided by applicant): Infant Brain and Behavioral Signatures of Later Emerging Risk for Psychopathology Little is known about the trajectories of brain and behavioral development during infancy that anticipate and predict clinically impairing patterns of functioning observed during the preschool years. The prevalence of psychiatric symptomatology in preschool-aged children, combined with the possibility of common initializing pathophysiological events shared across various disorders, converge to highlight the infant and toddler period as uniquely suited for identifying atypical trajectories of brain and behavioral development that anticipate later emerging psychopathology. Characterizing trajectories that deviate from normative patterns of development during this time period may elucidate causal mechanisms of mental illness, mechanisms that subsequently could be targeted for strategic intervention/prevention. The proposed research will combine state-of-the-art neuroimaging technologies developed by the Human Connectome Project with a developmental approach to the NIMH Research Domain Criteria initiative. Longitudinal brain imaging (sMRI/DWI/fcMRI) and behavioral assessment (selected for relevance to later emerging psychopathology and acquired via direct assessment, parent report, and state-of-the art eye tracking procedures) will be conducted on 4 occasions between 3 and 15 months with a 5th assessment at 24 months of age. Dimensional aspects of clinically relevant behaviors will be characterized during a final 6th assessment between 30 and 36 months of age. The contribution of the proposed research is expected to be a comprehensive characterization of longitudinal brain development in the first years of life, coupled with a longitudinal characterization of behavioral constructs selected for their relevance to later emerging psychopathology. This contribution will be significant because the empirical data acquired will anchor a new paradigm of inquiry into the developmental processes that temporally precede the emergence of clinically impairing patterns of functioning, augmenting future efforts focused on strategic prevention of mental illness. The interdisciplinary synthesis that approaches clinical neuroscience or biological psychiatry from a developmental perspective represents an innovative departure from efforts designed to characterize neural signatures of DSM defined disorders examined years after the incipient pathophysiological events. More specifically, mapping trajectories of neural circuit development to behavioral constructs specifically selected for their relevance to later emerging psychopathology (Elison et al., 2013a; Elison et al., 2013b) highlights a novel developmental approach to the RDoC initiative. Indeed, these mappings will be characterized prior to the manifestation of clinically impairing patterns of functioning, and will be used to predict later emerging clinically relevant behaviors. Characterizing developmental signatures of later emerging psychopathology has the potential to alter the landscape of early identification and early intervention/prevention of psychiatric and neurodevelopmental disorders.

描述（由申请人提供）：婴儿大脑和后来出现的精神病理学风险的行为特征对于婴儿期大脑和行为发育的轨迹知之甚少，这些轨迹可以预测和预测临床功能损害模式在学龄前时期观察到。学龄前儿童精神病学症状的普遍性，加上各种疾病共有的共同初始化病理生理事件的可能性，共同强调婴儿和幼儿时期特别适合识别大脑和行为发展的非典型轨迹，从而预测后来出现的精神病理学。描述这一时期偏离规范发展模式的轨迹可以阐明精神疾病的因果机制，这些机制随后可以成为战略干预/预防的目标。拟议的研究将把人类连接组项目开发的最先进的神经影像技术与 NIMH 研究领域标准倡议的开发方法结合起来。纵向脑成像 (sMRI/DWI/fcMRI) 和行为评估（根据与后来出现的精神病理学相关性而选择，并通过直接评估、家长报告和最先进的眼动追踪程序获得）将在 3 至 3 天内进行 4 次。 15 个月，24 个月大时进行第 5 次评估。临床相关行为的维度方面将在 30 至 36 个月龄之间的最后第六次评估中进行表征。拟议研究的贡献预计将是对生命最初几年大脑纵向发育的全面表征，以及根据其与后来出现的精神病理学相关性而选择的行为结构的纵向表征。这一贡献将是意义重大的，因为所获得的经验数据将锚定一种新的研究范式，以探究暂时先于临床功能障碍模式出现的发展过程，从而增强未来专注于精神疾病战略预防的努力。从发展角度接近临床神经科学或生物精神病学的跨学科综合代表了一种创新性的偏离，该努力旨在表征早期病理生理事件数年后检查的 DSM 定义的疾病的神经特征。更具体地说，将神经回路发育轨迹映射到专门选择的与后来出现的精神病理学相关的行为结构（Elison 等人，2013a；Elison 等人，2013b）突出了 RDoC 计划的一种新颖的发展方法。事实上，这些映射将在临床功能损害模式出现之前进行表征，并将用于预测后来出现的临床相关行为。表征后来出现的精神病理学的发展特征有可能改变精神和神经发育障碍的早期识别和早期干预/预防的格局。

项目成果

期刊论文数量（22）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A broadened estimate of syntactic and lexical ability from the MB-CDI.

MB-CDI 对句法和词汇能力的更广泛估计。

DOI：
发表时间：
2022
期刊：
影响因子：
2.2
作者：
Day, Trevor K M;Elison, Jed T
通讯作者：
Elison, Jed T

Machine learning accurately classifies age of toddlers based on eye tracking.

机器学习根据眼球追踪准确地对幼儿的年龄进行分类。

DOI：
发表时间：
2019-04-18
期刊：
影响因子：
4.6
作者：
Dalrymple, Kirsten A;Jiang, Ming;Zhao, Qi;Elison, Jed T
通讯作者：
Elison, Jed T

Editorial: Considering Transient Instantiators.

社论：考虑瞬态实例化器。

DOI：
发表时间：
2020
期刊：
影响因子：
3.3
作者：
Elison; Jed T
通讯作者：
Jed T

Phenoscreening: a developmental approach to research domain criteria-motivated sampling.

表现筛选：一种研究领域标准驱动抽样的发展方法。

DOI：
发表时间：
2021
期刊：
影响因子：
0
作者：
Doyle, Colleen M;Lasch, Carolyn;Vollman, Elayne P;Desjardins, Christopher D;Helwig, Nathaniel E;Jacob, Suma;Wolff, Jason J;Elison, Jed T
通讯作者：
Elison, Jed T

Concurrent development of facial identity and expression discrimination.

面部识别和表情歧视的同时发展。