Diffusion tensor imaging based network analysis detects alterations of neuroconnectivity in patients with clinically early relapsing‐remitting multiple sclerosis
暂无分享,去创建一个
Yasheng Chen | Weili Lin | D. Shen | Minjeong Kim | Yang Li | D. Armao | V. Jewells | S. Markovic‐Plese | A. Moon | L. Troiani | S. Markovic-Plese
[1] M. Croll. The ocular manifestations of multiple sclerosis. , 1965, American journal of ophthalmology.
[2] W. Mcdonald,et al. The ocular manifestations of multiple sclerosis. 1. Abnormalities of the afferent visual system. , 1992, Journal of neurology, neurosurgery, and psychiatry.
[3] A. Scheibel,et al. Fiber composition of the human corpus callosum , 1992, Brain Research.
[4] R. Rudick,et al. Axonal transection in the lesions of multiple sclerosis. , 1998, The New England journal of medicine.
[5] M Cercignani,et al. A quantitative study of water diffusion in multiple sclerosis lesions and normal-appearing white matter using echo-planar imaging. , 2000, Archives of neurology.
[6] G J Barker,et al. Recovery from optic neuritis is associated with a change in the distribution of cerebral response to visual stimulation: a functional magnetic resonance imaging study , 2000, Journal of neurology, neurosurgery, and psychiatry.
[7] P M Matthews,et al. Size-selective neuronal changes in the anterior optic pathways suggest a differential susceptibility to injury in multiple sclerosis. , 2001, Brain : a journal of neurology.
[8] G J Barker,et al. Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations , 2001, Neurology.
[9] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[10] E. Bullmore,et al. Functional magnetic resonance imaging of the cortical response to photic stimulation in humans following optic neuritis recovery , 2002, Neuroscience Letters.
[11] Shu-Wei Sun,et al. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia , 2003, NeuroImage.
[12] R. Ordidge,et al. High field MRI correlates of myelin content and axonal density in multiple sclerosis , 2003, Journal of Neurology.
[13] M. Filippi,et al. Cortical adaptation in patients with MS: a cross-sectional functional MRI study of disease phenotypes , 2005, The Lancet Neurology.
[14] Alastair Compston,et al. McAlpine's Multiple Sclerosis , 2005 .
[15] K. Hasan,et al. Diffusion tensor fractional anisotropy of the normal‐appearing seven segments of the corpus callosum in healthy adults and relapsing‐remitting multiple sclerosis patients , 2005, Journal of magnetic resonance imaging : JMRI.
[16] Geoff J M Parker,et al. Optic radiation changes after optic neuritis detected by tractography‐based group mapping , 2005, Human brain mapping.
[17] Jun Yoshino,et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain , 2005, NeuroImage.
[18] R. Malach,et al. When the Brain Loses Its Self: Prefrontal Inactivation during Sensorimotor Processing , 2006, Neuron.
[19] Dinggang Shen,et al. Learning-based deformable registration of MR brain images , 2006, IEEE Transactions on Medical Imaging.
[20] Maria Assunta Rocca,et al. The level of spinal cord involvement influences the pattern of movement-associated cortical recruitment in patients with isolated myelitis , 2006, NeuroImage.
[21] Massimo Filippi,et al. fMRI changes in relapsing‐remitting multiple sclerosis patients complaining of fatigue after IFNβ‐1a injection , 2007, Human brain mapping.
[22] Gareth J. Barker,et al. Diffusion tensor imaging of post mortem multiple sclerosis brain , 2007, NeuroImage.
[23] Kyle C. Kern,et al. Regional hippocampal atrophy in multiple sclerosis. , 2008, Brain : a journal of neurology.
[24] Frederik Barkhof,et al. In vivo MR imaging of hippocampal lesions in multiple sclerosis , 2008, Journal of magnetic resonance imaging : JMRI.
[25] P M Matthews,et al. Relating functional changes during hand movement to clinical parameters in patients with multiple sclerosis in a multi‐centre fMRI study , 2008, European journal of neurology.
[26] Vince D. Calhoun,et al. Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations , 2008, NeuroImage.
[27] Ernesto Estrada,et al. Communicability in complex networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] D. Higham,et al. A weighted communicability measure applied to complex brain networks , 2009, Journal of The Royal Society Interface.
[29] Arash Kamali,et al. Caudate nuclei volume, diffusion tensor metrics, and T2 relaxation in healthy adults and relapsing‐remitting multiple sclerosis patients: Implications for understanding gray matter degeneration , 2009, Journal of magnetic resonance imaging : JMRI.
[30] I. Evangelou,et al. Thalamic Involvement and Its Impact on Clinical Disability in Patients with Multiple Sclerosis: A Diffusion Tensor Imaging Study at 3T , 2009, American Journal of Neuroradiology.
[31] K. Worsley,et al. Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. , 2009, Brain : a journal of neurology.
[32] Alan C. Evans,et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. , 2009, Cerebral cortex.
[33] M. Filippi,et al. Functional MR imaging in multiple sclerosis. , 2009, Neuroimaging clinics of North America.
[34] Eliza M. Gordon-Lipkin,et al. Damage to the optic radiation in multiple sclerosis is associated with retinal injury and visual disability. , 2009, Archives of neurology.
[35] M Filippi,et al. Magnetic resonance techniques to quantify tissue damage, tissue repair, and functional cortical reorganization in multiple sclerosis. , 2009, Progress in brain research.
[36] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[37] Fabrice Bartolomei,et al. Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks , 2010, Magnetic Resonance Materials in Physics, Biology and Medicine.
[38] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[39] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[40] M. Filippi,et al. Structural and functional magnetic resonance imaging correlates of motor network dysfunction in primary progressive multiple sclerosis , 2010, The European journal of neuroscience.
[41] Dinggang Shen,et al. F-TIMER: Fast Tensor Image Morphing for Elastic Registration , 2010, IEEE Transactions on Medical Imaging.
[42] H. Lassmann. Axonal and neuronal pathology in multiple sclerosis: What have we learnt from animal models , 2010, Experimental Neurology.
[43] Desmond J. Higham,et al. Network analysis detects changes in the contralesional hemisphere following stroke , 2011, NeuroImage.
[44] M. P. van den Heuvel,et al. Impaired Structural Motor Connectome in Amyotrophic Lateral Sclerosis , 2011, PloS one.
[45] Daoqiang Zhang,et al. Multimodal classification of Alzheimer's disease and mild cognitive impairment , 2011, NeuroImage.
[46] Yong He,et al. Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. , 2011, Cerebral cortex.
[47] Xiaoqi Huang,et al. Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder , 2011, Biological Psychiatry.