Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology
暂无分享,去创建一个
Benjamin C. Tendler | M. Jenkinson | S. Jbabdi | K. Miller | S. Foxley | M. Turner | R. Menke | O. Ansorge | B. Tendler | I. Huszar | M. Pallebage-Gamarallage | Chaoyue Wang
[1] Frontotemporal dementia with motor neuron disease , 2020, Definitions.
[2] Ninon Burgos,et al. New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .
[3] Mark Jenkinson,et al. Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology , 2018, BMC Neuroscience.
[4] Mark Jenkinson,et al. Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging , 2017, NeuroImage.
[5] I. Mackenzie,et al. Reappraisal of TDP-43 pathology in FTLD-U subtypes , 2017, Acta Neuropathologica.
[6] Jeff H Duyn,et al. Contributions to magnetic susceptibility of brain tissue , 2017, NMR in biomedicine.
[7] Ferdinand Schweser,et al. A comprehensive numerical analysis of background phase correction with V‐SHARP , 2017, NMR in biomedicine.
[8] David J. Hawkes,et al. Apparatus for Histological Validation of In Vivo and Ex Vivo Magnetic Resonance Imaging of the Human Prostate , 2017, Front. Oncol..
[9] Joseph A. Harris,et al. Widespread temporo-occipital lobe dysfunction in amyotrophic lateral sclerosis , 2017, Scientific Reports.
[10] M. Turner,et al. The tough body at the epicentre of amyotrophic lateral sclerosis , 2016, Journal of Neurology, Neurosurgery & Psychiatry.
[11] D. Lulé,et al. Functional connectivity changes resemble patterns of pTDP-43 pathology in amyotrophic lateral sclerosis , 2016, Scientific Reports.
[12] Tobias C. Wood,et al. Whole-brain ex-vivo quantitative MRI of the cuprizone mouse model , 2016, PeerJ.
[13] Allan R. Jones,et al. Comprehensive cellular‐resolution atlas of the adult human brain , 2016, The Journal of comparative neurology.
[14] J. Hodges,et al. The frontotemporal dementia-motor neuron disease continuum , 2016, The Lancet.
[15] A. Kakita,et al. Heterogeneity of cerebral TDP-43 pathology in sporadic amyotrophic lateral sclerosis: Evidence for clinico-pathologic subtypes , 2016, Acta Neuropathologica Communications.
[16] William D. Dunn,et al. Applicability of digital analysis and imaging technology in neuropathology assessment , 2016, Neuropathology : official journal of the Japanese Society of Neuropathology.
[17] Edson Amaro Júnior,et al. Multimodal Whole Brain Registration: MRI and High Resolution Histology , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[18] Notger G. Müller,et al. Working Memory Network Changes in ALS: An fMRI Study , 2016, Front. Neurosci..
[19] M. Tosetti,et al. Magnetic susceptibility in the deep layers of the primary motor cortex in Amyotrophic Lateral Sclerosis , 2016, NeuroImage: Clinical.
[20] D. Korzhevskii,et al. Brain Microglia and Microglial Markers , 2016, Neuroscience and Behavioral Physiology.
[21] M. Filippi,et al. A large-scale multicentre cerebral diffusion tensor imaging study in amyotrophic lateral sclerosis , 2016, Journal of Neurology, Neurosurgery & Psychiatry.
[22] J. Trojanowski,et al. Semi-Automated Digital Image Analysis of Pick’s Disease and TDP-43 Proteinopathy , 2016, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[23] Tianzi Jiang,et al. Occipital cortical gyrification reductions associate with decreased functional connectivity in amyotrophic lateral sclerosis , 2017, Brain Imaging and Behavior.
[24] B. Kopp,et al. Executive Dysfunctions and Event-Related Brain Potentials in Patients with Amyotrophic Lateral Sclerosis , 2015, Front. Aging Neurosci..
[25] A. van Cappellen van Walsum,et al. Dentatorubrothalamic tract localization with postmortem MR diffusion tractography compared to histological 3D reconstruction , 2015, Brain Structure and Function.
[26] Matthew C Kiernan,et al. TDP-43 proteinopathies: pathological identification of brain regions differentiating clinical phenotypes. , 2015, Brain : a journal of neurology.
[27] Jianrong Xu,et al. Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range , 2015, NMR in biomedicine.
[28] M. Catani,et al. Syntactic processing as a marker for cognitive impairment in amyotrophic lateral sclerosis , 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.
[29] Yi Wang,et al. Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: Interpreting positive susceptibility and the presence of iron , 2015, Magnetic resonance in medicine.
[30] J. Kril,et al. Spread of pathology in amyotrophic lateral sclerosis: assessment of phosphorylated TDP-43 along axonal pathways , 2015, Acta Neuropathologica Communications.
[31] M. Turner,et al. What Does Imaging Reveal About the Pathology of Amyotrophic Lateral Sclerosis? , 2015, Current Neurology and Neuroscience Reports.
[32] Janna H. Neltner,et al. Disease-related microglia heterogeneity in the hippocampus of Alzheimer’s disease, dementia with Lewy bodies, and hippocampal sclerosis of aging , 2015, Acta Neuropathologica Communications.
[33] Tian Liu,et al. Quantitative susceptibility mapping of the motor cortex in amyotrophic lateral sclerosis and primary lateral sclerosis. , 2015, AJR. American journal of roentgenology.
[34] Yi Wang,et al. Quantitative Susceptibility Mapping (QSM) as a biomarker for C9orf72 Familial ALS (P6.027) , 2015 .
[35] Qing X Yang,et al. Histological–MRI correlation in the primary motor cortex of patients with amyotrophic lateral sclerosis , 2015, Journal of magnetic resonance imaging : JMRI.
[36] Maged Goubran,et al. Magnetic resonance imaging and histology correlation in the neocortex in temporal lobe epilepsy , 2015, Annals of neurology.
[37] J. Trojanowski,et al. Spreading of pathology in neurodegenerative diseases: a focus on human studies , 2015, Nature Reviews Neuroscience.
[38] Karla L. Miller,et al. Improving diffusion-weighted imaging of post-mortem human brains: SSFP at 7 T , 2014, NeuroImage.
[39] Klaus-Armin Nave,et al. Myelination of the nervous system: mechanisms and functions. , 2014, Annual review of cell and developmental biology.
[40] Adriano Chiò,et al. Functional pattern of brain FDG-PET in amyotrophic lateral sclerosis , 2014, Neurology.
[41] D. Reich,et al. Postmortem magnetic resonance imaging to guide the pathologic cut: individualized, 3-dimensionally printed cutting boxes for fixed brains. , 2014, Journal of neuropathology and experimental neurology.
[42] Ivanei E. Bramati,et al. White Matter Tract Damage in the Behavioral Variant of Frontotemporal and Corticobasal Dementia Syndromes , 2014, PloS one.
[43] O. Phillips,et al. MRI measures of corpus callosum iron and myelin in early Huntington's disease , 2014, Human brain mapping.
[44] G. Douaud,et al. Widespread grey matter pathology dominates the longitudinal cerebral MRI and clinical landscape of amyotrophic lateral sclerosis , 2014, Brain : a journal of neurology.
[45] John L. Robinson,et al. TDP-43 pathology and neuronal loss in amyotrophic lateral sclerosis spinal cord , 2014, Acta Neuropathologica.
[46] H. Braak,et al. Diffusion tensor imaging analysis of sequential spreading of disease in amyotrophic lateral sclerosis confirms patterns of TDP-43 pathology. , 2014, Brain : a journal of neurology.
[47] S. Rees,et al. Impact of daily high-dose caffeine exposure on developing white matter of the immature ovine brain , 2014, Pediatric Research.
[48] M. Ogino,et al. Syntactic Comprehension in Patients with Amyotrophic Lateral Sclerosis , 2014, Behavioural neurology.
[49] P. Pressman,et al. Diagnosis and Management of Behavioral Variant Frontotemporal Dementia , 2014, Biological Psychiatry.
[50] C. Jack,et al. TDP-43 is a key player in the clinical features associated with Alzheimer’s disease , 2014, Acta Neuropathologica.
[51] Jiankun Cui,et al. Histological Quantitation of Brain Injury Using Whole Slide Imaging: A Pilot Validation Study in Mice , 2014, PloS one.
[52] Nick C Fox,et al. Profiles of white matter tract pathology in frontotemporal dementia , 2014, Human brain mapping.
[53] Hauke Bartsch,et al. Postmortem examination of patient H.M.’s brain based on histological sectioning and digital 3D reconstruction , 2014, Nature Communications.
[54] John L. Robinson,et al. Sequential distribution of pTDP-43 pathology in behavioral variant frontotemporal dementia (bvFTD) , 2014, Acta Neuropathologica.
[55] Y. Kuroiwa,et al. Increased number of astrocytes and macrophages/microglial cells in the corpus callosum in amyotrophic lateral sclerosis , 2013, Neuropathology : official journal of the Japanese Society of Neuropathology.
[56] John Q. Trojanowski,et al. Amyotrophic lateral sclerosis—a model of corticofugal axonal spread , 2013, Nature Reviews Neurology.
[57] G. Logroscino,et al. Cortical Thinning and Clinical Heterogeneity in Amyotrophic Lateral Sclerosis , 2013, PloS one.
[58] T. Benzinger,et al. Diffusion tensor MRI as a biomarker in axonal and myelin damage. , 2013, Imaging in medicine.
[59] S. V. van Duinen,et al. Comparison of Histological Techniques to Visualize Iron in Paraffin-embedded Brain Tissue of Patients with Alzheimer’s Disease , 2013, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[60] J. Kril,et al. Classification of FTLD-TDP cases into pathological subtypes using antibodies against phosphorylated and non-phosphorylated TDP43 , 2013, Acta Neuropathologica Communications.
[61] T. Rouault,et al. Iron metabolism in the CNS: implications for neurodegenerative diseases , 2013, Nature Reviews Neuroscience.
[62] Murray Grossman,et al. Stages of pTDP‐43 pathology in amyotrophic lateral sclerosis , 2013, Annals of neurology.
[63] Alan C. Evans,et al. BigBrain: An Ultrahigh-Resolution 3D Human Brain Model , 2013, Science.
[64] J. Trojanowski,et al. Deciphering amyotrophic lateral sclerosis: What phenotype, neuropathology and genetics are telling us about pathogenesis , 2013, Amyotrophic lateral sclerosis & frontotemporal degeneration.
[65] M. Turner,et al. Mimics and chameleons in motor neurone disease , 2013, Practical Neurology.
[66] L. V. Van Eldik,et al. The p38α MAPK Regulates Microglial Responsiveness to Diffuse Traumatic Brain Injury , 2013, The Journal of Neuroscience.
[67] C. Jack,et al. A quantitative postmortem MRI design sensitive to white matter hyperintensity differences and their relationship with underlying pathology. , 2012, Journal of neuropathology and experimental neurology.
[68] Harald Hampel,et al. Grey matter correlates of clinical variables in amyotrophic lateral sclerosis (ALS): a neuroimaging study of ALS motor phenotype heterogeneity and cortical focality , 2012, Journal of Neurology, Neurosurgery & Psychiatry.
[69] Heidi Johansen-Berg,et al. A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology , 2012, Brain : a journal of neurology.
[70] Michael Brady,et al. MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration , 2012, Medical Image Anal..
[71] Michael Hornberger,et al. In vivo and post-mortem memory circuit integrity in frontotemporal dementia and Alzheimer's disease. , 2012, Brain : a journal of neurology.
[72] Janna H. Neltner,et al. Early Stage Drug Treatment That Normalizes Proinflammatory Cytokine Production Attenuates Synaptic Dysfunction in a Mouse Model That Exhibits Age-Dependent Progression of Alzheimer's Disease-Related Pathology , 2012, The Journal of Neuroscience.
[73] J. Trojanowski,et al. Microglial Activation Correlates with Disease Progression and Upper Motor Neuron Clinical Symptoms in Amyotrophic Lateral Sclerosis , 2012, PloS one.
[74] Jacopo Annese,et al. The importance of combining MRI and large-scale digital histology in neuroimaging studies of brain connectivity and disease , 2012, Front. Neuroinform..
[75] Jeff H. Duyn,et al. Iron Accumulation in Deep Cortical Layers Accounts for MRI Signal Abnormalities in ALS: Correlating 7 Tesla MRI and Pathology , 2012, PloS one.
[76] Timothy Edward John Behrens,et al. Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs , 2012, 2012 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing.
[77] Karla L. Miller,et al. Diffusion tractography of post-mortem human brains: Optimization and comparison of spin echo and steady-state free precession techniques , 2012, NeuroImage.
[78] A. Ludolph,et al. Amyotrophic lateral sclerosis. , 2012, Current opinion in neurology.
[79] Hellmut Merkle,et al. Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. , 2011, Brain : a journal of neurology.
[80] John Geng,et al. Convergent grey and white matter evidence of orbitofrontal cortex changes related to disinhibition in behavioural variant frontotemporal dementia. , 2011, Brain : a journal of neurology.
[81] O. Hardiman,et al. Amyotrophic lateral sclerosis , 2011, The Lancet.
[82] Gaël Varoquaux,et al. The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.
[83] N Filippini,et al. Corpus callosum involvement is a consistent feature of amyotrophic lateral sclerosis , 2010, Neurology.
[84] Jennifer A McNab,et al. Steady‐state diffusion‐weighted imaging: theory, acquisition and analysis , 2010, NMR in biomedicine.
[85] Ralph A. Nixon,et al. The contributions of myelin and axonal caliber to transverse relaxation time in shiverer and neurofilament-deficient mouse models , 2010, NeuroImage.
[86] H. Johansen-Berg,et al. Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. , 2010, Cerebral cortex.
[87] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[88] B. Murphy,et al. Cellular Inflammatory Response to Flaviviruses in the Central Nervous System of a Primate Host , 2009, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[89] Timothy Edward John Behrens,et al. High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession , 2009, NeuroImage.
[90] Dinggang Shen,et al. Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[91] J. Trojanowski,et al. Evidence of multisystem disorder in whole-brain map of pathological TDP-43 in amyotrophic lateral sclerosis. , 2008, Archives of neurology.
[92] J. Born,et al. Signs of impaired selective attention in patients with amyotrophic lateral sclerosis , 2008, Journal of Neurology.
[93] H. Mori,et al. Symmetric Temporal Abnormalities on MR Imaging in Amyotrophic Lateral Sclerosis with Dementia , 2007, American Journal of Neuroradiology.
[94] N. Ayache,et al. Three-dimensional reconstruction of stained histological slices and 3D non-linear registration with in-vivo MRI for whole baboon brain , 2007, Journal of Neuroscience Methods.
[95] J. Ravits,et al. Focality of upper and lower motor neuron degeneration at the clinical onset of ALS , 2007, Neurology.
[96] D. Holtzman,et al. Detection of traumatic axonal injury with diffusion tensor imaging in a mouse model of traumatic brain injury , 2007, Experimental Neurology.
[97] N. Cairns,et al. TDP‐43 in the ubiquitin pathology of frontotemporal dementia with VCP gene mutations , 2007, Journal of neuropathology and experimental neurology.
[98] Mark W. Woolrich,et al. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.
[99] Luciano Fadiga,et al. Hand Actions and Speech Representation in Broca's Area , 2006, Cortex.
[100] Bruce L. Miller,et al. Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis , 2006, Science.
[101] K. Amunts,et al. Broca's region: from action to language. , 2005, Physiology.
[102] Grégoire Malandain,et al. Fusion of autoradiographs with an MR volume using 2-D and 3-D linear transformations , 2004, NeuroImage.
[103] J. Hodges,et al. The effects of motor neurone disease on language: Further evidence , 2004, Brain and Language.
[104] M. Petrides. CHAPTER 25 – The Frontal Cortex , 2004 .
[105] Brent A. Vogt,et al. CHAPTER 24 – Cingulate Gyrus , 2004 .
[106] K. Zilles. CHAPTER 27 – Architecture of the Human Cerebral Cortex: Regional and Laminar Organization , 2004 .
[107] S. Wakana,et al. Fiber tract-based atlas of human white matter anatomy. , 2004, Radiology.
[108] Yimei Zhu,et al. Fast phase unwrapping algorithm for interferometric applications. , 2003, Optics letters.
[109] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[110] Roberto Spreafico,et al. Damage, Reorganization, and Abnormal Neocortical Hyperexcitability in the Pilocarpine Model of Temporal Lobe Epilepsy , 2002, Epilepsia.
[111] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[112] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[113] J R Hodges,et al. Selective impairment of verb processing associated with pathological changes in Brodmann areas 44 and 45 in the motor neurone disease-dementia-aphasia syndrome. , 2001, Brain : a journal of neurology.
[114] Patrick R Hof,et al. Practical approaches to stereology in the setting of aging- and disease-related brain banks , 2000, Journal of Chemical Neuroanatomy.
[115] Y. Miyashita,et al. A syntactic specialization for Broca's area. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[116] D. Pandya,et al. Dorsolateral prefrontal cortex: comparative cytoarchitectonic analysis in the human and the macaque brain and corticocortical connection patterns , 1999, The European journal of neuroscience.
[117] J. Bohl,et al. Monoclonal antibodies SMI 311 and SMI 312 as tools to investigate the maturation of nerve cells and axonal patterns in human fetal brain , 1998, Cell and Tissue Research.
[118] T Schormann,et al. Three‐Dimensional linear and nonlinear transformations: An integration of light microscopical and MRI data , 1998, Human brain mapping.
[119] T. Kamei,et al. Amyotrophic lateral sclerosis with numerous axonal spheroids in the corticospinal tract and massive degeneration of the cortex , 1997, Acta Neuropathologica.
[120] R. Woods,et al. Mapping Histology to Metabolism: Coregistration of Stained Whole-Brain Sections to Premortem PET in Alzheimer's Disease , 1997, NeuroImage.
[121] D. Turner,et al. Non-phosphorylated neurofilament protein immunoreactivity in adult and developing rat hippocampus: specificity and application in grafting studies , 1995, Brain Research.
[122] T. Naidich,et al. The fornix. , 1993, AJNR. American journal of neuroradiology.
[123] E. Courchesne,et al. The cerebellum: 3. Anatomic-MR correlation in the coronal plane. , 1990, AJNR. American journal of neuroradiology.
[124] E. Courchesne,et al. The cerebellum in sagittal plane--anatomic-MR correlation: 2. The cerebellar hemispheres. , 1989, AJR. American journal of roentgenology.
[125] L. Eng. Glial fibrillary acidic protein (GFAP): the major protein of glial intermediate filaments in differentiated astrocytes , 1985, Journal of Neuroimmunology.