Characterizing Large-scale Neuroplastic Changes in Cerebral Compared to Ocular Visual Impairment

与眼部视觉障碍相比,大脑中大规模神经塑性变化的特征

基本信息

  • 批准号:
    10404942
  • 负责人:
  • 金额:
    $ 30.36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-05-01 至 2024-04-30
  • 项目状态:
    已结题

项目摘要

Summary The objective of the proposed research is to better understand the underlying neurophysiology of cerebral/cortical visual impairment (CVI), the leading cause of congenital vision loss in the United States and developed world. CVI is associated with peri-natal damage to visual cerebral structures and pathways, and leads to a myriad of impairments in visual function. Despite this alarming public health issue, there is a fundamental gap in our understanding as to how the visual system develops in the setting of cerebral compared to ocular based visual impairment. Current studies using standard clinical imaging modalities are limited in their ability to characterize brain functional reorganization in the setting of widespread neurological injury. To further advance our understanding, we will employ multi-modal neuroimaging to characterize whole brain as well as regional structural and functional brain connectivity in CVI associated with periventricular leukomalacia (PVL). In our first aim, we will characterize white matter integrity and structural connectivity using high angular resolution diffusion imaging (HARDI). In our second aim, we will characterize functional brain connectivity networks using resting state functional connectivity (rsfc)MRI. Using a graph theoretical analysis framework, we will then investigate network topological properties and the coupling between structural and functional networks. Further characterization of functional connectivity will be carried out using stepwise functional connectivity (SFC) analysis. This complementary approach allows for the investigation of widespread network alterations on information transfer across the entire brain, and represents a key distinguishing innovation of this proposal. Specifically, the examination of topological characteristics and the nature of structural-functional network coupling will lead to a better understanding of CVI by uncovering the nature of network alterations in the setting of congenital brain injury and how it relates to visual function. Findings will be compared to ocular visually impaired (OVI) individuals (matched for residual visual function) as well as neurotypical sighted controls. Our overarching hypothesis is that CVI is associated with key differences in the organization and relationship between structural-functional connectivity networks. Furthermore, we predict that in CVI, functional networks responsible for visual processing will show evidence of reorganization in response to large-scale white matter injury, and this may serve as a useful biomarker in relation to clinical functional assessments. This study will provide a high level of insight that has not been previously achieved by previous investigations relying on standard clinical imaging approaches. Uncovering how the brain develops in the case of CVI and how it differs from ocular based visual impairment is a crucial first step in developing a neurorehabilitative framework specifically designed for the care of children with this condition. This is of great significance for individuals with CVI; a population that has been immensely underserved despite its important
Summary The objective of the proposed research is to better understand the underlying neurophysiology of cerebral/cortical visual impairment (CVI), the leading cause of congenital vision loss in the United States and developed world. CVI is associated with peri-natal damage to visual cerebral structures and pathways, and leads to a myriad of impairments in visual function. Despite this alarming public health issue, there is a fundamental gap in our understanding as to how the visual system develops in the setting of cerebral compared to ocular based visual impairment. Current studies using standard clinical imaging modalities are limited in their ability to characterize brain functional reorganization in the setting of widespread neurological injury. To further advance our understanding, we will employ multi-modal neuroimaging to characterize whole brain as well as regional structural and functional brain connectivity in CVI associated with periventricular leukomalacia (PVL). In our first aim, we will characterize white matter integrity and structural connectivity using high angular resolution diffusion imaging (HARDI). In our second aim, we will characterize functional brain connectivity networks using resting state functional connectivity (rsfc)MRI. Using a graph theoretical analysis framework, we will then investigate network topological properties and the coupling between structural and functional networks. Further characterization of functional connectivity will be carried out using stepwise functional connectivity (SFC) analysis. This complementary approach allows for the investigation of widespread network alterations on information transfer across the entire brain, and represents a key distinguishing innovation of this proposal. Specifically, the examination of topological characteristics and the nature of structural-functional network coupling will lead to a better understanding of CVI by uncovering the nature of network alterations in the setting of congenital brain injury and how it relates to visual function. Findings will be compared to ocular visually impaired (OVI) individuals (matched for residual visual function) as well as neurotypical sighted controls. Our overarching hypothesis is that CVI is associated with key differences in the organization and relationship between structural-functional connectivity networks. Furthermore, we predict that in CVI, functional networks responsible for visual processing will show evidence of reorganization in response to large-scale white matter injury, and this may serve as a useful biomarker in relation to clinical functional assessments. This study will provide a high level of insight that has not been previously achieved by previous investigations relying on standard clinical imaging approaches. Uncovering how the brain develops in the case of CVI and how it differs from ocular based visual impairment is a crucial first step in developing a neurorehabilitative framework specifically designed for the care of children with this condition. This is of great significance for individuals with CVI; a population that has been immensely underserved despite its important

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Lotfi Merabet其他文献

Lotfi Merabet的其他文献

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{{ truncateString('Lotfi Merabet', 18)}}的其他基金

Neurophysiological Correlates of Visual Motion Processing in Cerebral Visual Impairment
脑视觉障碍中视觉运动处理的神经生理学相关性
  • 批准号:
    10251145
  • 财政年份:
    2020
  • 资助金额:
    $ 30.36万
  • 项目类别:
Neurophysiological Correlates of Visual Motion Processing in Cerebral Visual Impairment
脑视觉障碍中视觉运动处理的神经生理学相关性
  • 批准号:
    10669646
  • 财政年份:
    2020
  • 资助金额:
    $ 30.36万
  • 项目类别:
Characterizing Large-scale Neuroplastic Changes in Cerebral Compared to Ocular Visual Impairment
与眼部视觉障碍相比,大脑中大规模神经塑性变化的特征
  • 批准号:
    10613539
  • 财政年份:
    2020
  • 资助金额:
    $ 30.36万
  • 项目类别:
Neurophysiological Correlates of Visual Motion Processing in Cerebral Visual Impairment
脑视觉障碍中视觉运动处理的神经生理学相关性
  • 批准号:
    10047300
  • 财政年份:
    2020
  • 资助金额:
    $ 30.36万
  • 项目类别:
Neurophysiological Correlates of Visual Motion Processing in Cerebral Visual Impairment
脑视觉障碍中视觉运动处理的神经生理学相关性
  • 批准号:
    10456902
  • 财政年份:
    2020
  • 资助金额:
    $ 30.36万
  • 项目类别:
Assessing Spatial Processing Deficits in Cerebral Visual Impairment (CVI) Using Virtual Reality
使用虚拟现实评估脑视觉障碍 (CVI) 的空间处理缺陷
  • 批准号:
    9807307
  • 财政年份:
    2019
  • 资助金额:
    $ 30.36万
  • 项目类别:
Assessing Spatial Processing Deficits in Cerebral Visual Impairment (CVI) Using Virtual Reality
使用虚拟现实评估脑视觉障碍 (CVI) 的空间处理缺陷
  • 批准号:
    10005388
  • 财政年份:
    2019
  • 资助金额:
    $ 30.36万
  • 项目类别:
Audio Based Navigation in the Blind
基于音频的盲人导航
  • 批准号:
    8018059
  • 财政年份:
    2010
  • 资助金额:
    $ 30.36万
  • 项目类别:
Audio Based Navigation in the Blind
基于音频的盲人导航
  • 批准号:
    8417709
  • 财政年份:
    2010
  • 资助金额:
    $ 30.36万
  • 项目类别:
Audio Based Navigation in the Blind
基于音频的盲人导航
  • 批准号:
    8212081
  • 财政年份:
    2010
  • 资助金额:
    $ 30.36万
  • 项目类别:

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