The role of iron and myelin in orientation dependent R2* of white matter
暂无分享,去创建一个
Stefan Ropele | Vanessa Wiggermann | Simon Hametner | Alexander Rauscher | Jonathan Doucette | Enedino Hernández-Torres | Christoph Birkl | C. Birkl | S. Ropele | Alexander Rauscher | S. Hametner | V. Wiggermann | Jonathan Doucette | E. Hernández-Torres | Tianyou Xu | Daniel Kor | Tianyou Xu | D. Kor
[1] Christian Enzinger,et al. Dynamics of brain iron levels in multiple sclerosis , 2015, Neurology.
[2] Anthony Traboulsee,et al. Magnetic resonance frequency shifts during acute MS lesion formation , 2013, Neurology.
[3] R. Bowtell,et al. Fiber orientation-dependent white matter contrast in gradient echo MRI , 2012, Proceedings of the National Academy of Sciences.
[4] B. Todorich,et al. Oligodendrocytes and myelination: The role of iron , 2009, Glia.
[5] A. Montpetit,et al. HLA class I alleles tag HLA-DRB1*1501 haplotypes for differential risk in multiple sclerosis susceptibility , 2008, Proceedings of the National Academy of Sciences.
[6] Zang-Hee Cho,et al. Origin of B0 orientation dependent R2 * (=1/T2 *) in white matter , 2013, NeuroImage.
[7] Jun Hatazawa,et al. Micro‐angiographical studies of the medullary venous system of the cerebral hemisphere , 1999, Neuropathology : official journal of the Japanese Society of Neuropathology.
[8] R Marc Lebel,et al. Multiple sclerosis: validation of MR imaging for quantification and detection of iron. , 2013, Radiology.
[9] R Marc Lebel,et al. Longitudinal MR imaging of iron in multiple sclerosis: an imaging marker of disease. , 2013, Radiology.
[10] U. Klose,et al. The in vivo influence of white matter fiber orientation towards B0 on T2* in the human brain , 2010, NMR in biomedicine.
[11] K. Trinkaus,et al. Quantification of increased cellularity during inflammatory demyelination. , 2011, Brain : a journal of neurology.
[12] A. Peters. The effects of normal aging on myelin and nerve fibers: A review , 2002, Journal of neurocytology.
[13] Chunlei Liu. Susceptibility tensor imaging , 2010, Magnetic resonance in medicine.
[14] A. Traboulsee,et al. Increased mean R2* in the deep gray matter of multiple sclerosis patients: Have we been measuring atrophy? , 2018, Journal of magnetic resonance imaging : JMRI.
[15] Jerzy Bodurka,et al. Contrast enhancement by combining T1‐ and T2‐weighted structural brain MR Images , 2015, Magnetic resonance in medicine.
[16] Oliver Bieri,et al. Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI , 2016, PloS one.
[17] W. Brück,et al. The topograpy of demyelination and neurodegeneration in the multiple sclerosis brain , 2016, Brain : a journal of neurology.
[18] Ferdinand Schweser,et al. Overview of quantitative susceptibility mapping , 2017, NMR in biomedicine.
[19] M. Battaglini,et al. Brain MRI atrophy quantification in MS , 2017, Neurology.
[20] E. Hatzimichael,et al. Serum ferritin, transferrin and soluble transferrin receptor levels in multiple sclerosis patients , 2005, Multiple sclerosis.
[21] Siddharama Pawate,et al. Untangling the R2* contrast in multiple sclerosis: A combined MRI-histology study at 7.0 Tesla , 2018, PloS one.
[22] Richard S. J. Frackowiak,et al. Cerebral blood flow, blood volume and oxygen utilization. Normal values and effect of age. , 1990, Brain : a journal of neurology.
[23] H. Lassmann,et al. Oxidative damage in multiple sclerosis lesions , 2011, Brain : a journal of neurology.
[24] Mark W. Woolrich,et al. FSL , 2012, NeuroImage.
[25] Frederik Barkhof,et al. Regional DTI differences in multiple sclerosis patients , 2009, NeuroImage.
[26] Ipek Deveci Kocakoç,et al. JMASM 49: A Compilation of Some Popular Goodness of Fit Tests for Normal Distribution: Their Algorithms and MATLAB Codes (MATLAB) , 2017 .
[27] P. Harrison,et al. The ferritins: molecular properties, iron storage function and cellular regulation. , 1996, Biochimica et biophysica acta.
[28] R. Benedict,et al. Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine , 2016, Expert review of neurotherapeutics.
[29] M. Ramanathan,et al. Prevalence of Radiologically Isolated Syndrome and White Matter Signal Abnormalities in Healthy Relatives of Patients with Multiple Sclerosis , 2014, American Journal of Neuroradiology.
[30] Piotr Kozlowski,et al. Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology , 2008, NeuroImage.
[31] Jeff H Duyn,et al. Contributions to magnetic susceptibility of brain tissue , 2017, NMR in biomedicine.
[32] M Rovaris,et al. Evidence for widespread axonal damage at the earliest clinical stage of multiple sclerosis. , 2003, Brain : a journal of neurology.
[33] Nils Daniel Forkert,et al. Anisotropic cerebral vascular architecture causes orientation dependency in cerebral blood flow and volume measured with dynamic susceptibility contrast magnetic resonance imaging , 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[34] R A Brooks,et al. Relaxometry and magnetometry of ferritin , 1998, Magnetic resonance in medicine.
[35] Alex L. MacKay,et al. Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence , 2012, NeuroImage.
[36] Hans Lassmann,et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. , 2005, Brain : a journal of neurology.
[37] Karla L Miller,et al. The effect of realistic geometries on the susceptibility‐weighted MR signal in white matter , 2017, Magnetic resonance in medicine.
[38] S. Ropele,et al. Quantitative MR imaging of brain iron: a postmortem validation study. , 2010, Radiology.
[39] Jimmy Lee,et al. Reproducibility of myelin water fraction analysis: a comparison of region of interest and voxel-based analysis methods. , 2009, Magnetic resonance imaging.
[40] S. LeVine,et al. The Role of Iron in the Pathogenesis of Experimental Allergic Encephalomyelitis and Multiple Sclerosis , 2004, Annals of the New York Academy of Sciences.
[41] Hui Zhang,et al. Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI) , 2017, NeuroImage.
[42] Simon Hametner,et al. Iron and neurodegeneration in the multiple sclerosis brain , 2013, Annals of neurology.
[43] B. Trapp,et al. Structure of the Myelinated Axon , 2004 .
[44] P. Morgan,et al. Imaging central veins in brain lesions with 3-T T2*-weighted magnetic resonance imaging differentiates multiple sclerosis from microangiopathic brain lesions , 2016, Multiple sclerosis.
[45] B. Mädler,et al. Global loss of myelin water over 5 years in multiple sclerosis normal-appearing white matter , 2017, Multiple sclerosis.
[46] Ninon Burgos,et al. New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .
[47] A. MacKay,et al. In vivo visualization of myelin water in brain by magnetic resonance , 1994, Magnetic resonance in medicine.
[48] Sandra M Meyers,et al. Simultaneous measurement of total water content and myelin water fraction in brain at 3T using a T2 relaxation based method. , 2017, Magnetic resonance imaging.
[49] Charles C. White,et al. Assessment of Early Evidence of Multiple Sclerosis in a Prospective Study of Asymptomatic High-Risk Family Members , 2017, JAMA neurology.
[50] Robert Zivadinov,et al. Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality , 2018, NeuroImage.
[51] Piotr Kozlowski,et al. Diffusely Abnormal White Matter in Multiple Sclerosis: Further Histologic Studies Provide Evidence for a Primary Lipid Abnormality With Neurodegeneration , 2013, Journal of neuropathology and experimental neurology.
[52] H. Lassmann,et al. Oxidative stress and its impact on neurons and glia in multiple sclerosis lesions. , 2016, Biochimica et biophysica acta.
[53] Jeff H. Duyn,et al. T2*-based fiber orientation mapping , 2011, NeuroImage.
[54] B. Hallgren,et al. THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.
[55] Massimo Filippi,et al. Central vein sign differentiates Multiple Sclerosis from central nervous system inflammatory vasculopathies , 2018, Annals of neurology.
[56] M Filippi,et al. A magnetization transfer histogram study of normal-appearing brain tissue in MS , 2000, Neurology.
[57] A. Traboulsee,et al. What Have We Learned from Perfusion MRI in Multiple Sclerosis? , 2018, American Journal of Neuroradiology.
[58] Woojin Jung,et al. An R2* model of white matter for fiber orientation and myelin concentration , 2017, NeuroImage.
[59] Nikos Evangelou,et al. The Central Vein Sign in Multiple Sclerosis Lesions Is Present Irrespective of the T2* Sequence at 3 T , 2017, Journal of neuroimaging : official journal of the American Society of Neuroimaging.
[60] John F Schenck,et al. Magnetic resonance imaging of brain iron , 2003, Journal of the Neurological Sciences.
[61] Alain Pitiot,et al. The MRI central vein marker; differentiating PPMS from RRMS and ischemic SVD , 2018, Neurology: Neuroimmunology & Neuroinflammation.
[62] Anthony Traboulsee,et al. Orientation Dependent MR Signal Decay Differentiates between People with MS, Their Asymptomatic Siblings and Unrelated Healthy Controls , 2015, PloS one.
[63] S. Ropele,et al. Magnetization transfer MR imaging in multiple sclerosis. , 2009, Neuroimaging clinics of North America.
[64] S. Ropele,et al. Fast Bound Pool Fraction Mapping Using Stimulated Echoes , 2011, Magnetic resonance in medicine.
[65] S Ropele,et al. Determinants of brain iron in multiple sclerosis , 2011, Neurology.
[66] Anne Gorman,et al. Effects of aging and alcohol on the biochemical composition of histologically normal human brain , 1988, Metabolic Brain Disease.
[67] H. Kim,et al. Diffusion tensor imaging of normal‐appearing white matter in patients with neuromyelitis optica spectrum disorder and multiple sclerosis , 2017, European journal of neurology.
[68] C. Laule,et al. Water content and myelin water fraction in multiple sclerosis , 2004, Journal of Neurology.
[69] Nils Daniel Forkert,et al. Rapid solution of the Bloch-Torrey equation in anisotropic tissue: Application to dynamic susceptibility contrast MRI of cerebral white matter , 2019, NeuroImage.
[70] Christian Langkammer,et al. Iron mapping using the temperature dependency of the magnetic susceptibility , 2015, Magnetic resonance in medicine.
[71] Anthony Traboulsee,et al. Susceptibility‐sensitive MRI of multiple sclerosis lesions and the impact of normal‐appearing white matter changes , 2017, NMR in biomedicine.
[72] Christian Langkammer,et al. Assessment of trace elements in human brain using inductively coupled plasma mass spectrometry. , 2014, Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements.
[73] Roland G. Henry,et al. The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative , 2016, Nature Reviews Neurology.
[74] A. MacKay,et al. The influence of white matter fibre orientation on MR signal phase and decay , 2011, NMR in biomedicine.
[75] R. Cohen,et al. The extended disability status scale (EDSS) as a predictor of impairments of functional activities of daily living in multiple sclerosis , 1993, Journal of the Neurological Sciences.