Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer’s disease
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Kaitlin M. Stouffer | M. Witter | M. Miller | J. Troncoso | D. Tward | C. Ceritoglu | Sue Kulason | Susumu Mori | Eileen Xu | M. Albert | C. Chen
[1] K. Suma,et al. Deep Learning for Alzheimer's Disease Detection using Multimodal MRI-PET Fusion , 2022, 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C).
[2] Kaitlin M. Stouffer,et al. Projective LDDMM: Mapping Molecular Digital Pathology with Tissue MRI , 2022, bioRxiv.
[3] K. Blennow,et al. Biomarker modeling of Alzheimer’s disease using PET-based Braak staging , 2022, Nature Aging.
[4] D. Greve,et al. Entorhinal Subfield Vulnerability to Neurofibrillary Tangles in Aging and the Preclinical Stage of Alzheimer’s Disease , 2022, Journal of Alzheimer's disease : JAD.
[5] L. Grinberg,et al. Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation , 2021, NeuroImage.
[6] John L. Robinson,et al. Ex vivo MRI atlas of the human medial temporal lobe: characterizing neurodegeneration due to tau pathology , 2021, Acta Neuropathologica Communications.
[7] John L. Robinson,et al. Ex vivo MRI atlas of the human medial temporal lobe: characterizing neurodegeneration due to tau pathology , 2021, Acta Neuropathologica Communications.
[8] Ling Yu Hung,et al. Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe. , 2021, Brain : a journal of neurology.
[9] Shi Zhou,et al. Diagnostic value of amygdala volume on structural magnetic resonance imaging in Alzheimer’s disease , 2021, World journal of clinical cases.
[10] David W. Nauen,et al. Amyloid‐beta is present in human lymph nodes and greatly enriched in those of the cervical region , 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.
[11] J. Laczó,et al. Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort , 2021, Frontiers in Aging Neuroscience.
[12] A. Trouvé,et al. Hierarchical Computational Anatomy: Unifying the Molecular to Tissue Continuum Via Measure Representations of the Brain , 2021, bioRxiv.
[13] Philip S. Insel,et al. Early stages of tau pathology and its associations with functional connectivity, atrophy and memory , 2021, Brain : a journal of neurology.
[14] Anonymous,et al. 2021 Alzheimer's disease facts and figures , 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.
[15] Philip S. Insel,et al. Mild behavioral impairment and its relation to tau pathology in preclinical Alzheimer’s disease , 2021, Translational Psychiatry.
[16] González,et al. Clinical correlates for immune checkpoint therapy: significance for CNS malignancies. , 2020, Neuro-oncology advances.
[17] Andrew J. Holbrook,et al. Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease , 2020, Alzheimer's & dementia.
[18] L. Younes,et al. Entorhinal and Transentorhinal Atrophy in Preclinical Alzheimer's Disease , 2020, Frontiers in Neuroscience.
[19] Nick C Fox,et al. Imaging biomarkers in neurodegeneration: current and future practices , 2020, Alzheimer's Research & Therapy.
[20] H. Zetterberg,et al. Biomarkers for Alzheimer’s disease—preparing for a new era of disease-modifying therapies , 2020, Molecular Psychiatry.
[21] Richard Beare,et al. Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE‐HD cohort , 2020, Human brain mapping.
[22] Robert Fisk,et al. Borders , 1998, The Frontier in British India.
[23] Andrew J. Holbrook,et al. Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer’s disease , 2019 .
[24] O. Hansson,et al. Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography. , 2019, JAMA neurology.
[25] Daniela Ushizima,et al. Deep Learning for Alzheimer’s Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker Validation , 2019 .
[26] Michael I. Miller,et al. Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease , 2019, Front. Aging Neurosci..
[27] R. Insausti,et al. Cytoarchitectonic Areas of the Gyrus ambiens in the Human Brain , 2019, Front. Neuroanat..
[28] A. Nordberg,et al. Tau PET imaging in neurodegenerative tauopathies—still a challenge , 2019, Molecular Psychiatry.
[29] Michael I. Miller,et al. Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease , 2018, bioRxiv.
[30] Kwame S. Kutten,et al. 3D Normal Coordinate Systems for Cortical Areas , 2018, Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore.
[31] Alzheimer's Disease Neuroimaging Initiative,et al. Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment , 2018, NeuroImage: Clinical.
[32] Daniel S. Marcus,et al. OASIS-3: LONGITUDINAL NEUROIMAGING, CLINICAL, AND COGNITIVE DATASET FOR NORMAL AGING AND ALZHEIMER’S DISEASE , 2018, Alzheimer's & Dementia.
[33] Ling Yue,et al. Asymmetry of Hippocampus and Amygdala Defect in Subjective Cognitive Decline Among the Community Dwelling Chinese , 2018, Front. Psychiatry.
[34] C. Jack,et al. NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease , 2018, Alzheimer's & Dementia.
[35] C. Rowe,et al. Imaging tau and amyloid-β proteinopathies in Alzheimer disease and other conditions , 2018, Nature Reviews Neurology.
[36] Bela G Nelson,et al. The Amygdala as a Locus of Pathologic Misfolding in Neurodegenerative Diseases , 2018, Journal of neuropathology and experimental neurology.
[37] A. Schleicher,et al. Receptor-driven, multimodal mapping of the human amygdala , 2017, Brain Structure and Function.
[38] Michael Miller,et al. Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation , 2017, GRAIL/MFCA/MICGen@MICCAI.
[39] B Fischl,et al. High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas , 2017, NeuroImage.
[40] E. Düzel,et al. A protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI , 2017, NeuroImage: Clinical.
[41] Z. M. Saygina,et al. High-resolution magnetic resonance imaging reveals nuclei of the human amygdala : manual segmentation to automatic atlas , 2017 .
[42] B. Platt,et al. Soluble pre-fibrillar tau and β-amyloid species emerge in early human Alzheimer’s disease and track disease progression and cognitive decline , 2016, Acta Neuropathologica.
[43] C. Sorg,et al. Progressively Disrupted Intrinsic Functional Connectivity of Basolateral Amygdala in Very Early Alzheimer’s Disease , 2016, Front. Neurol..
[44] Matthew F. Glasser,et al. The Human Connectome Project: Progress and Prospects , 2016, Cerebrum: the Dana Forum on Brain Science.
[45] G. V. Van Hoesen,et al. Organization and detailed parcellation of human hippocampal head and body regions based on a combined analysis of Cyto‐ and chemoarchitecture , 2015, The Journal of comparative neurology.
[46] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[47] Michael I. Miller,et al. Network Neurodegeneration in Alzheimer’s Disease via MRI Based Shape Diffeomorphometry and High-Field Atlasing , 2015, Front. Bioeng. Biotechnol..
[48] L. Younes,et al. Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer's disease , 2014, NeuroImage: Clinical.
[49] Jane S. Paulsen,et al. Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis , 2012, Human brain mapping.
[50] Song-Lin Ding,et al. Comparative anatomy of the prosubiculum, subiculum, presubiculum, postsubiculum, and parasubiculum in human, monkey, and rodent , 2013, The Journal of comparative neurology.
[51] David S. Lee,et al. The diffeomorphometry of temporal lobe structures in preclinical Alzheimer's disease☆ , 2013, NeuroImage: Clinical.
[52] Mert R. Sabuncu,et al. Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models , 2013, NeuroImage.
[53] Tamal K. Dey,et al. Delaunay Mesh Generation , 2012, Chapman and Hall / CRC computer and information science series.
[54] P. Fletcher,et al. Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds , 2013, International Journal of Computer Vision.
[55] Hugo J. Kuijf,et al. Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment , 2012, NeuroImage.
[56] J. Schneider,et al. National Institute on Aging–Alzheimer's Association guidelines for the neuropathologic assessment of Alzheimer's disease , 2012, Alzheimer's & Dementia.
[57] J. Morris,et al. Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity , 2011, Psychiatry Research: Neuroimaging.
[58] Denise C. Park,et al. Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.
[59] Stéphane Mallat,et al. Group Invariant Scattering , 2011, ArXiv.
[60] G. V. Van Hoesen,et al. Borders, extent, and topography of human perirhinal cortex as revealed using multiple modern neuroanatomical and pathological markers , 2010, Human brain mapping.
[61] Peter J Hellyer,et al. Human brain mapping , 2012, Nature Methods.
[62] Brian B. Avants,et al. A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T , 2009, NeuroImage.
[63] Alain Trouvé,et al. Bayesian template estimation in computational anatomy , 2008, NeuroImage.
[64] Isidro Ferrer,et al. Argyrophilic grain disease. , 2008, Brain : a journal of neurology.
[65] Michael I. Miller,et al. Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator , 2006, IEEE Transactions on Medical Imaging.
[66] J. Becker,et al. Lewy bodies in the amygdala increase risk for major depression in subjects with Alzheimer disease , 2006, Neurology.
[67] H. Braak,et al. Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry , 2006, Acta Neuropathologica.
[68] Alain Trouvé,et al. Geodesic Shooting for Computational Anatomy , 2006, Journal of Mathematical Imaging and Vision.
[69] K. Amunts,et al. Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps , 2005, Anatomy and Embryology.
[70] M. Lierz,et al. Diagnostic Value of , 2005 .
[71] David Wechsler,et al. Wechsler Memory scale. , 2005 .
[72] Alain Trouvé,et al. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms , 2005, International Journal of Computer Vision.
[73] John Q Trojanowski,et al. Lewy bodies in the amygdala: increase of alpha-synuclein aggregates in neurodegenerative diseases with tau-based inclusions. , 2004, Archives of neurology.
[74] H. Braak,et al. Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.
[75] Thomas E. Nichols,et al. Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.
[76] G. Halliday,et al. Clinical correlates of selective pathology in the amygdala of patients with Parkinson's disease. , 2002, Brain : a journal of neurology.
[77] H. Braak,et al. Phases of Aβ-deposition in the human brain and its relevance for the development of AD , 2002, Neurology.
[78] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[79] U. Grenander,et al. Computational anatomy: an emerging discipline , 1998 .
[80] Yvette I. Sheline,et al. Amygdala core nuclei volumes are decreased in recurrent major depression , 1998, Neuroreport.
[81] H. Soininen,et al. MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices. , 1998, AJNR. American journal of neuroradiology.
[82] C. Jack,et al. Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease , 1997, Neurology.
[83] R. Insausti,et al. The human entorhinal cortex: A cytoarchitectonic analysis , 1995, The Journal of comparative neurology.
[84] S. M. Sumi,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) , 1991, Neurology.
[85] G. V. Van Hoesen,et al. The topographical and neuroanatomical distribution of neurofibrillary tangles and neuritic plaques in the cerebral cortex of patients with Alzheimer's disease. , 1991, Cerebral cortex.
[86] C. P. Hughes,et al. A New Clinical Scale for the Staging of Dementia , 1982, British Journal of Psychiatry.
[87] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[88] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[89] Denis Dooley,et al. Atlas of the Human Brain. , 1971 .