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Since its introduction over a decade ago, functional magnetic resonance imaging (fMRI) has revolutionized studies of the working human brain. While most fMRI studies measure the blood oxygenation level dependent (BOLD) response to a functional task, there has been growing interest in the use of resting-state BOLD fMRI, in which the connectivity between different brain regions is measured while the subject is at rest (e.g. not actively performing a task). Resting-state BOLD approaches may be particularly effective for clinical usage because they do not require the patient to perform a task and can be obtained in a short amount of time. A number of studies applying resting-state connectivity measures to the assessment of disease have reported significant disease-related changes in connectivity. However, the interpretation of these changes in connectivity is not straightforward, because the mechanisms underlying resting-state BOLD connectivity are not well understood. The BOLD signal represents the hemodynamic response to neural activity, and is a complicated function of changes in blood flow, blood volume, and oxygen metabolism. As a result, changes in resting-state connectivity can reflect a complex combination of neural, vascular, and metabolic factors. A better understanding of the primary factors that modulate resting-state connectivity is therefore critical for the accurate interpretation of resting-state measures. The goal of this proposal is to identify measures of neural power fluctuations and neurovascular coupling that can best account for changes in resting-state BOLD connectivity. The specific aims of this project are to identify the measures that most effectively explain changes in resting-state connectivity due to (a) caffeine usage and (b) inter-subject differences in physiology.
期刊论文(20)
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DOI: 10.1016/j.neuroimage.2015.02.052
发表时间: 2015-05-15
期刊: NeuroImage
影响因子: 5.7
作者: [Olafsson V, Kundu P, Wong EC, Bandettini PA, Liu TT]
通讯作者: Liu TT
DOI: 10.3389/fnhum.2013.00063
发表时间: 2013
期刊: Frontiers in human neuroscience
影响因子: 2.9
作者: [Tal O, Diwakar M, Wong CW, Olafsson V, Lee R, Huang MX, Liu TT]
通讯作者: Liu TT
DOI: 10.1016/j.neuroimage.2011.10.001
发表时间: 2012-02-01
期刊: NEUROIMAGE
影响因子: 5.7
作者: [Rack-Gomer, Anna Leigh, Liu, Thomas T.]
通讯作者: Liu, Thomas T.
DOI: 10.1016/j.neuroimage.2009.02.001
发表时间: 2009-05-15
期刊: NeuroImage
影响因子: 5.7
作者: [Rack-Gomer AL, Liau J, Liu TT]
通讯作者: Liu TT
11
    Equipment upgrade for 7T Small Animal MRI system
    Assessing vigilance with resting-state fMRI
    FMRI and EEG approaches to the resting state in ASD
    • 批准号:
      8852190
    • 项目类别:
    • 资助金额:
      $19.04万
    • 财政年份:
      2014
    • 负责人:
      THOMAS T LIU
    • 依托单位:
    Global Signal Correction in Resting State fMRI
    海外基金