Why diffusion tensor MRI does well only some of the time: Variance and covariance of white matter tissue microstructure attributes in the living human brain
Tóm tắt
Từ khóa
Tài liệu tham khảo
Alexander, 2010, Orientationally invariant indices of axon diameter and density from diffusion MRI, Neuroimage, 52, 1374, 10.1016/j.neuroimage.2010.05.043
Assaf, 2005, Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, Neuroimage, 27, 48, 10.1016/j.neuroimage.2005.03.042
Assaf, 2008, Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review, J. Mol. Neurosci., 34, 51, 10.1007/s12031-007-0029-0
Assaf, 2004, New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter, Magn. Reson. Med., 52, 965, 10.1002/mrm.20274
Basser, 1995, Inferring microstructural features and the physiological state of tissues from diffusion-weighted images, NMR Biomed., 8, 333, 10.1002/nbm.1940080707
Basser, 1996, Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI, J. Magn. Reson. B, 111, 209, 10.1006/jmrb.1996.0086
Basser, 1994, Estimation of the effective self-diffusion tensor from the NMR spin echo, J. Magn. Reson. B, 103, 247, 10.1006/jmrb.1994.1037
Beaulieu, 2002, The basis of anisotropic water diffusion in the nervous system —a technical review, NMR Biomed., 15, 435, 10.1002/nbm.782
Bells, 2011, Tractometry: comprehensive multi-modal quantitative assessment of white matter along specific tracts
Bells, 2011, Partial volume corrections of myelin water fraction values
Ben-Amitay, 2012, Motion correction and registration of high b-value diffusion weighted images, Magn. Reson. Med., 67, 1694, 10.1002/mrm.23186
Budde, 2013, Quantification of anisotropy and fiber orientation in human brain histological sections, Front. Integr. Neurosci., 7, 3, 10.3389/fnint.2013.00003
Catani, 2002, Virtual in vivo interactive dissection of white matter fasciculi in the human brain, Neuroimage, 17, 77, 10.1006/nimg.2002.1136
Cercignani, 2006, Optimal acquisition schemes for in vivo quantitative magnetization transfer MRI, Magn. Reson. Med., 56, 803, 10.1002/mrm.21003
De Santis, 2012, Using the biophysical charmed model to elucidate the underpinnings of contrast in diffusional kurtosis analysis of diffusion-weighted MRI, MAGMA, 25, 267, 10.1007/s10334-011-0292-5
De Santis, 2013, Improved precision in charmed assessment of white matter through sampling scheme optimisation and model parsimony testing, Magn. Res. Med
Dell'acqua, 2012, Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion, Hum. Brain Mapp
Deoni, 2011, Correction of main and transmit magnetic field (B0 and B1) inhomogeneity effects in multicomponent-driven equilibrium single-pulse observation of T1 and T2, Magn. Reson. Med., 65, 1021, 10.1002/mrm.22685
Deoni, 2008, Gleaning multicomponent T1 and T2 information from steady-state imaging data, Magn. Reson. Med., 60, 1372, 10.1002/mrm.21704
Ford, 1998, Dependence of apparent diffusion coefficients on axonal spacing, membrane permeability, and diffusion time in spinal cord white matter, J. Magn. Reson. Imaging, 8, 775, 10.1002/jmri.1880080405
Hui, 2008, Towards better MR characterization of neural tissues using directional diffusion kurtosis analysis, Neuroimage, 42, 122, 10.1016/j.neuroimage.2008.04.237
Hüppi, 1998, Microstructural development of human newborn cerebral white matter assessed in vivo by diffusion tensor magnetic resonance imaging, Pediatr. Res., 44, 584, 10.1203/00006450-199810000-00019
Janve, 2013, The radial diffusivity and magnetization transfer pool size ratio are sensitive markers for demyelination in a rat model of type III multiple sclerosis (MS) lesions, Neuroimage, 74, 298, 10.1016/j.neuroimage.2013.02.034
Jenkinson, 2001, A global optimisation method for robust affine registration of brain images, Med. Image Anal., 5, 143, 10.1016/S1361-8415(01)00036-6
Jeurissen, 2012, Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging, Hum. Brain Mapp
Jones, 1999, Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging, Magn. Reson. Med., 42, 515, 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q
Jones, 2005, A diffusion tensor magnetic resonance imaging study of frontal cortex connections in very-late-onset schizophrenia-like psychosis, Am J Geriatr Psychiatry, 13, 1092, 10.1097/00019442-200512000-00009
Lee, 2012, The contribution of myelin to magnetic susceptibility-weighted contrasts in high-field MRI of the brain, Neuroimage, 59, 3967, 10.1016/j.neuroimage.2011.10.076
Leemans, 2009, ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data
Lutti, 2013, Using high-resolution quantitative mapping of R1 as an index of cortical myelination, Neuroimage
MacKay, 1994, In vivo visualization of myelin water in brain by magnetic resonance, Magn. Reson. Med., 31, 673, 10.1002/mrm.1910310614
Mädler, 2008, Is diffusion anisotropy an accurate monitor of myelination? Correlation of multicomponent T2 relaxation and diffusion tensor anisotropy in human brain, Magn. Reson. Imaging, 26, 874, 10.1016/j.mri.2008.01.047
Maxwell, 2008, Sample size planning for statistical power and accuracy in parameter estimation, Annu. Rev. Psychol., 59, 537, 10.1146/annurev.psych.59.103006.093735
Mehta, 1996, Magnetization transfer magnetic resonance imaging: a clinical review, Top. Magn. Reson. Imaging, 8, 214, 10.1097/00002142-199608000-00002
Mori, 2008, Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template, Neuroimage, 40, 570, 10.1016/j.neuroimage.2007.12.035
Neuman, 1974, Spin echo of spins diffusing in a bounded medium, J. Chem. Phys., 60, 4508, 10.1063/1.1680931
Pasternak, 2009, Free water elimination and mapping from diffusion MRI, Magn. Reson. Med., 62, 717, 10.1002/mrm.22055
Paus, 2009, Could sex differences in white matter be explained by g ratio?, Front. Neuroanat., 3, 14, 10.3389/neuro.05.014.2009
Pfefferbaum, 2000, Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging, Magn. Reson. Med., 44, 259, 10.1002/1522-2594(200008)44:2<259::AID-MRM13>3.0.CO;2-6
Pierpaoli, 1996, Toward a quantitative assessment of diffusion anisotropy, Magn. Reson. Med., 36, 893, 10.1002/mrm.1910360612
Pierpaoli, 1996, Diffusion tensor MR imaging of the human brain, Radiology, 201, 637, 10.1148/radiology.201.3.8939209
Rushton, 1951, A theory of the effect of fibre size in medullated nerves, J. Physiol., 115, 101, 10.1113/jphysiol.1951.sp004655
Sled, 2004, Regional variations in normal brain shown by quantitative magnetization transfer imaging, Magn. Reson. Med., 51, 299, 10.1002/mrm.10701
Smith, 2006, Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, Neuroimage, 31, 1487, 10.1016/j.neuroimage.2006.02.024
Song, 2005, Demyelination increases radial diffusivity in corpus callosum of mouse brain, Neuroimage, 26, 132, 10.1016/j.neuroimage.2005.01.028
Szczepankiewicz, 2013, Variability in diffusion kurtosis imaging: impact on study design, statistical power and interpretation, Neuroimage, 76, 145, 10.1016/j.neuroimage.2013.02.078
Takahashi, 2002, Magnetic resonance microimaging of intraaxonal water diffusion in live excised lamprey spinal cord, Proc. Natl. Acad. Sci. U. S. A., 99, 16192, 10.1073/pnas.252249999
Tavor, 2013, Micro-structural assessment of short term plasticity dynamics, Neuroimage, 81C, 1, 10.1016/j.neuroimage.2013.05.050
Tournier, 2004, Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution, Neuroimage, 23, 1176, 10.1016/j.neuroimage.2004.07.037
2005