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FRATS: Functional Regression Analysis of DTI Tract Statistics

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Název: FRATS: Functional Regression Analysis of DTI Tract Statistics
Autoři: Zhu, Hongtu, Styner, Martin, Tang, Niansheng, Liu, Zhexing, Lin, Weili, Gilmore, John H.
Zdroj: IEEE Transactions on Medical Imaging, 29(4)
Rok vydání: 2010
Sbírka: Carolina Digital Repository (UNC - University of North Carolina)
Témata: diffusion tensor imaging, neuropsychiatric disorders, brain, right internal capsule tract, neurodevelopment, functional regression analysis, neurophysiology, biomedical MRI, global test statistic, corpus callosum tract, regression analysis, mean diffusivity, DTI tract statistics, smoothing multiple diffusion properties, local polynomial kernel method, biodiffusion, white matter fiber bundles, FRATS, genetic factors, diffusion tensor eigenvalues, splenium, p-value, environmental factors, fractional anisotropy
Popis: Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber bundles as well as detailed tissue properties along these fiber bundles in vivo. This paper presents a functional regression framework, called FRATS, for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The functional regression framework consists of four integrated components: the local polynomial kernel method for smoothing multiple diffusion properties along individual fiber bundles, a functional linear model for characterizing the association between fiber bundle diffusion properties and a set of covariates, a global test statistic for testing hypotheses of interest, and a resampling method for approximating the p-value of the global test statistic. The proposed methodology is applied to characterizing the development of five diffusion properties including fractional anisotropy, mean diffusivity, and the three eigenvalues of diffusion tensor along the splenium of the corpus callosum tract and the right internal capsule tract in a clinical study of neurodevelopment. Significant age and gestational age effects on the five diffusion properties were found in both tracts. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: https://cdr.lib.unc.edu/downloads/v692tg94s?file=thumbnail; https://cdr.lib.unc.edu/downloads/v692tg94s
DOI: 10.17615/1wwa-sm39
Dostupnost: https://doi.org/10.17615/1wwa-sm39
https://cdr.lib.unc.edu/downloads/v692tg94s?file=thumbnail
https://cdr.lib.unc.edu/downloads/v692tg94s
Rights: http://rightsstatements.org/vocab/InC/1.0/
Přístupové číslo: edsbas.16F8BB84
Databáze: BASE
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  Data: FRATS: Functional Regression Analysis of DTI Tract Statistics
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  Data: <searchLink fieldCode="AR" term="%22Zhu%2C+Hongtu%22">Zhu, Hongtu</searchLink><br /><searchLink fieldCode="AR" term="%22Styner%2C+Martin%22">Styner, Martin</searchLink><br /><searchLink fieldCode="AR" term="%22Tang%2C+Niansheng%22">Tang, Niansheng</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhexing%22">Liu, Zhexing</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Weili%22">Lin, Weili</searchLink><br /><searchLink fieldCode="AR" term="%22Gilmore%2C+John+H%2E%22">Gilmore, John H.</searchLink>
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  Data: IEEE Transactions on Medical Imaging, 29(4)
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  Data: 2010
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  Data: Carolina Digital Repository (UNC - University of North Carolina)
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  Data: <searchLink fieldCode="DE" term="%22diffusion+tensor+imaging%22">diffusion tensor imaging</searchLink><br /><searchLink fieldCode="DE" term="%22neuropsychiatric+disorders%22">neuropsychiatric disorders</searchLink><br /><searchLink fieldCode="DE" term="%22brain%22">brain</searchLink><br /><searchLink fieldCode="DE" term="%22right+internal+capsule+tract%22">right internal capsule tract</searchLink><br /><searchLink fieldCode="DE" term="%22neurodevelopment%22">neurodevelopment</searchLink><br /><searchLink fieldCode="DE" term="%22functional+regression+analysis%22">functional regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22neurophysiology%22">neurophysiology</searchLink><br /><searchLink fieldCode="DE" term="%22biomedical+MRI%22">biomedical MRI</searchLink><br /><searchLink fieldCode="DE" term="%22global+test+statistic%22">global test statistic</searchLink><br /><searchLink fieldCode="DE" term="%22corpus+callosum+tract%22">corpus callosum tract</searchLink><br /><searchLink fieldCode="DE" term="%22regression+analysis%22">regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22mean+diffusivity%22">mean diffusivity</searchLink><br /><searchLink fieldCode="DE" term="%22DTI+tract+statistics%22">DTI tract statistics</searchLink><br /><searchLink fieldCode="DE" term="%22smoothing+multiple+diffusion+properties%22">smoothing multiple diffusion properties</searchLink><br /><searchLink fieldCode="DE" term="%22local+polynomial+kernel+method%22">local polynomial kernel method</searchLink><br /><searchLink fieldCode="DE" term="%22biodiffusion%22">biodiffusion</searchLink><br /><searchLink fieldCode="DE" term="%22white+matter+fiber+bundles%22">white matter fiber bundles</searchLink><br /><searchLink fieldCode="DE" term="%22FRATS%22">FRATS</searchLink><br /><searchLink fieldCode="DE" term="%22genetic+factors%22">genetic factors</searchLink><br /><searchLink fieldCode="DE" term="%22diffusion+tensor+eigenvalues%22">diffusion tensor eigenvalues</searchLink><br /><searchLink fieldCode="DE" term="%22splenium%22">splenium</searchLink><br /><searchLink fieldCode="DE" term="%22p-value%22">p-value</searchLink><br /><searchLink fieldCode="DE" term="%22environmental+factors%22">environmental factors</searchLink><br /><searchLink fieldCode="DE" term="%22fractional+anisotropy%22">fractional anisotropy</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Diffusion tensor imaging (DTI) provides important information on the structure of white matter fiber bundles as well as detailed tissue properties along these fiber bundles in vivo. This paper presents a functional regression framework, called FRATS, for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The functional regression framework consists of four integrated components: the local polynomial kernel method for smoothing multiple diffusion properties along individual fiber bundles, a functional linear model for characterizing the association between fiber bundle diffusion properties and a set of covariates, a global test statistic for testing hypotheses of interest, and a resampling method for approximating the p-value of the global test statistic. The proposed methodology is applied to characterizing the development of five diffusion properties including fractional anisotropy, mean diffusivity, and the three eigenvalues of diffusion tensor along the splenium of the corpus callosum tract and the right internal capsule tract in a clinical study of neurodevelopment. Significant age and gestational age effects on the five diffusion properties were found in both tracts. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles.
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  Data: https://cdr.lib.unc.edu/downloads/v692tg94s?file=thumbnail; https://cdr.lib.unc.edu/downloads/v692tg94s
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.17615/1wwa-sm39
– Name: URL
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  Data: https://doi.org/10.17615/1wwa-sm39<br />https://cdr.lib.unc.edu/downloads/v692tg94s?file=thumbnail<br />https://cdr.lib.unc.edu/downloads/v692tg94s
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        Value: 10.17615/1wwa-sm39
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: diffusion tensor imaging
        Type: general
      – SubjectFull: neuropsychiatric disorders
        Type: general
      – SubjectFull: brain
        Type: general
      – SubjectFull: right internal capsule tract
        Type: general
      – SubjectFull: neurodevelopment
        Type: general
      – SubjectFull: functional regression analysis
        Type: general
      – SubjectFull: neurophysiology
        Type: general
      – SubjectFull: biomedical MRI
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      – SubjectFull: global test statistic
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      – SubjectFull: corpus callosum tract
        Type: general
      – SubjectFull: regression analysis
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      – SubjectFull: mean diffusivity
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      – SubjectFull: DTI tract statistics
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      – SubjectFull: smoothing multiple diffusion properties
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      – SubjectFull: local polynomial kernel method
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      – SubjectFull: biodiffusion
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      – SubjectFull: white matter fiber bundles
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      – SubjectFull: FRATS
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      – SubjectFull: p-value
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      – SubjectFull: environmental factors
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      – SubjectFull: fractional anisotropy
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      – TitleFull: FRATS: Functional Regression Analysis of DTI Tract Statistics
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              Y: 2010
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            – TitleFull: IEEE Transactions on Medical Imaging, 29(4
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