Predicting Whole Brain Multi-Sensory Cognitive Control Networks: Relationship with Neuropsychological Test Performance and Repetitive Head Impact

预测全脑多感官认知控制网络:与神经心理学测试表现和重复头部冲击的关系

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Cognitive control is implicated in a number of higher-order cognitive abilities, including the allocation and maintenance of attention, task switching and response selection. Individual ability to engage these functions is variable, and deficits in these areas can lead to significantly diminished quality of life. Repetitive head impacts (RHI) are linked to the development of chronic traumatic encephalopathy (CTE), a progressive neurodegenerative disease characterized by aberrant tau protein deposition that currently can only be diagnosed at autopsy. Individuals at risk for and later diagnosed with CTE often display deficits of cognitive control that are observable behaviorally and via neurocognitive tests (NCT). Participants in high impact sports (e.g., American football, boxing, rugby) and military service-members often experience a large number of repetitive head impacts (RHI). The current lack of in vivo biomarkers to evaluate the long-term effects of RHI severely impacts the ability of researchers and clinicians to monitor at risk individuals for the development and progression of CTE. The research proposed herein aims to characterize the link between cognitive control network function, normal and abnormal functional network connectivity and NCT performance, and whether this is predictive of exposure to RHI. The proposed methods and hypotheses within this research proposal also provide a valuable training opportunity. Preliminary results from our laboratory demonstrate that a subject's functional connectivity fingerprint can predict individual task fMRI activation. Furthermore, preliminary results in a dataset of retired NFL players indicate aberrant functional connectivity within the dorsal attention and cognitive control networks. The proposed series of studies will employ functional MRI (fMRI), resting state functional connectivity (RSFC), and NCT to: 1) examine the relationship between cognitive control and attention fMRI activation, network RSFC and the effect of RHI exposure; and 2) investigate the relationship between fMRI, functional connectivity and diminished NCT performance in a population exposed to RHI. We propose to first study a group of healthy control subjects to increase our knowledge of how the brain engages control processes in auditory and visual attention tasks, and relate this to existing, well-accepted tests of attention and cognitive control. Subsequently, we will investigate the relationship between diminished cognitive control processes and altered functional connectivity in a population exposed to RHI. Our aim is to establish the predictive power of RSFC for individual variability in the application of cognitive control processes in everyday life. Importantly, the successful completion of this study will increase our understanding of long term effects of RHI on the brain's connectivity and begin to formulate clinical profiles that may be used in the diagnosis and staging of CTE in vivo
项目总结/摘要 认知控制涉及许多高阶认知能力,包括分配 注意维持、任务转换和反应选择。个人参与这些活动的能力 功能是可变的,这些领域的缺陷可能导致生活质量显著下降。重复 头部撞击(RHI)与慢性创伤性脑病(CTE)的发展有关, 神经退行性疾病,其特征在于异常的tau蛋白沉积, 尸检时诊断出来的有CTE风险并后来被诊断患有CTE的个体通常表现出认知功能缺陷, 通过行为和神经认知测试(NCT)观察到的控制。高冲击运动参与者 (e.g.,美式足球、拳击、橄榄球)和服兵役--成员经常经历大量的 重复头部撞击(RHI)。目前缺乏体内生物标志物来评估RHI的长期影响 严重影响研究人员和临床医生监测高危个体的能力, CTE的进展。本文提出的研究旨在描述认知控制之间的联系 网络功能、正常和异常功能网络连接和NCT性能,以及是否 这预示着暴露于RHI。本研究建议中提出的方法和假设也 提供宝贵的培训机会。 我们实验室的初步结果表明,受试者的功能连接指纹 可以预测个体任务的功能磁共振成像激活。此外,退役NFL球员数据集的初步结果 表明背侧注意力和认知控制网络中的异常功能连接。的 拟议的一系列研究将采用功能性磁共振成像(fMRI),静息状态功能连接(RSFC), NCT旨在:1)检查认知控制与注意力fMRI激活、网络RSFC之间的关系 以及RHI暴露的影响; 2)研究功能磁共振成像,功能连接和 在暴露于RHI的人群中NCT性能降低。我们建议首先研究一组健康的 控制受试者,以增加我们对大脑如何参与听觉和视觉控制过程的知识 注意力任务,并将其与现有的,广泛接受的注意力和认知控制测试。随后,委员会注意到, 我们将研究认知控制过程减弱与功能改变之间的关系 暴露于RHI的人群中的连接性。我们的目标是建立RSFC对个体的预测能力 日常生活中认知控制过程应用的可变性。重要的是,成功的 这项研究的完成将增加我们对RHI对大脑连接的长期影响的理解 并开始制定可用于体内CTE诊断和分期的临床特征

项目成果

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Sean Michael Tobyne其他文献

Sean Michael Tobyne的其他文献

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{{ truncateString('Sean Michael Tobyne', 18)}}的其他基金

Development and validation of novel tests in the DCT drawing analysis platform for the detection of Alzheimer’s Disease-related early cognitive
在 DCT 绘图分析平台中开发和验证新测试,用于检测与阿尔茨海默病相关的早期认知
  • 批准号:
    10221367
  • 财政年份:
    2020
  • 资助金额:
    $ 3.23万
  • 项目类别:

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