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

[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.