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
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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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