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DESCRIPTION (provided by applicant): The enormous potential of fMRI as a tool for understanding the influences of TBI (Traumatic Brain Injury) on cognitive and motor functioning in humans has begun to be realized as a body of neurocognitive TBI literature has started to emerge (McAllister et al., 1999; 2001, Christodoulou et al., 2001). While the consistency in these findings has been encouraging, the validity of conclusions regarding the influences of TBI on brain activation patterns measured by fMRI will be dependent upon better characterizing the wide variability in brain activation patterns observed (Hillary, Steffener, Biswal et al., 2002). The aim of our proposal is to systematically examine and quantify the vascular and neural factors contributing to trauma- related changes in the fMRI signal. To the best of our knowledge, this is the first attempt to comprehensively examine the biophysical, neural, and cognitive contributions to TBI-related differences in fMRI activation. The techniques we propose to develop and utilize here can be implemented by other investigators to accurately isolate hemodynamic changes due to trauma-related (or, indeed, any population-related) differences in neural activity. Because of this, the current proposal provides the opportunity to establish new standards for applying BOLD fMRI to clinical samples.. The present project intends to combine basic science, engineering, and computational issues to specifically elucidate mechanisms (neuronal vs vascular) that results in TBI subjects having altered brain activation in comparison to healthy controls. Results obtained from the noninvasive technique (fMRI) would provide ways to measure a number of relevant physiological factors and characterize them biophysically to understand human brain function with TBI. Methods and techniques developed can also be used to study between two or more different groups.
期刊论文(18)
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Geometric analysis of the b-dependent effects of Rician signal noise on diffusion tensor imaging estimates and determining an optimal b value.
对莱斯信号噪声对扩散张量成像估计的 b 相关影响进行几何分析,并确定最佳 b 值。
DOI: 10.1016/j.mri.2011.02.031
发表时间: 2011
期刊: Magnetic resonance imaging
影响因子: 2.5
作者: [Taylor,PaulA, Biswal,Bharat]
通讯作者: Biswal,Bharat
MAPBOT: Meta-analytic parcellation based on text, and its application to the human thalamus.
MAPBOT:基于文本的荟萃分析及其对人丘脑的应用。
DOI: 10.1016/j.neuroimage.2017.06.032
发表时间: 2017-08-15
期刊: NeuroImage
影响因子: 5.7
作者: [Yuan R, Taylor PA, Alvarez TL, Misra D, Biswal BB]
通讯作者: Biswal BB
DOI: 10.1371/journal.pone.0008220
发表时间: 2009-12-14
期刊: PloS one
影响因子: 3.7
作者: [Nakamura T, Hillary FG, Biswal BB]
通讯作者: Biswal BB
Input permutation method to detect active voxels in fMRI study.
在功能磁共振成像研究中检测活动体素的输入排列方法。
DOI: 10.1016/j.mri.2012.04.013
发表时间: 2012
期刊: Magnetic resonance imaging
影响因子: 2.5
作者: [Lee,SangH, Lim,Johan, Park,DoHwan, Biswal,BharatB, Petkova,Eva]
通讯作者: Petkova,Eva
10
    Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and Tools
    • 批准号:
      10391136
    • 项目类别:
    • 资助金额:
      $54.5万
    • 财政年份:
      2022
    • 负责人:
      Bharat Bhusan Biswal
    • 依托单位:
    Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and Tools
    • 批准号:
      10548825
    • 项目类别:
    • 资助金额:
      $53.16万
    • 财政年份:
      2022
    • 负责人:
      Bharat Bhusan Biswal
    • 依托单位:
    Longitudinal, multimodal analysis of HIV and ART effects on brain metabolism, structure and connectivity in young children
    • 批准号:
      9114662
    • 项目类别:
    • 资助金额:
      $14.81万
    • 财政年份:
      2015
    • 负责人:
      Bharat Bhusan Biswal
    • 依托单位:
    CRCNS: Neurophysiological Basis of Brain Connectivity
    • 批准号:
      8838312
    • 项目类别:
    • 资助金额:
      $12.76万
    • 财政年份:
      2014
    • 负责人:
      Bharat Bhusan Biswal
    • 依托单位:
    海外基金