Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI

[1]  Eileen H. Bigio,et al.  SPECT imaging in dementias [3] (multiple letters) , 2001 .

[2]  P. Narayana,et al.  Compensation for surface coil sensitivity variation in magnetic resonance imaging. , 1988, Magnetic resonance imaging.

[3]  Mark Jenkinson,et al.  Structural MRI changes detectable up to ten years before clinical Alzheimer's disease , 2012, Neurobiology of Aging.

[4]  I. Veer,et al.  Strongly reduced volumes of putamen and thalamus in Alzheimer's disease: an MRI study , 2008, Brain : a journal of neurology.

[5]  M. Torrens Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268 , 1990 .

[6]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[7]  A. Hofman,et al.  Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people. , 2006, Archives of general psychiatry.

[8]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[9]  Rachel L. Mistur,et al.  Subregional hippocampal atrophy predicts Alzheimer's dementia in the cognitively normal , 2010, Neurobiology of Aging.

[10]  Bixente Dilharreguy,et al.  Time course of brain volume changes in the preclinical phase of Alzheimer's disease , 2014, Alzheimer's & Dementia.

[11]  B. Scholkopf,et al.  Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

[12]  D. Selkoe Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.

[13]  M. J. Wade,et al.  Neuron number in the entorhinal cortex and CA1 in preclinical Alzheimer disease. , 2001, Archives of neurology.

[14]  W. Klunk,et al.  Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B , 2004, Annals of neurology.

[15]  Arthur W. Toga,et al.  Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment , 2011, NeuroImage.

[16]  Anders M. Dale,et al.  Nonlinear registration of longitudinal images and measurement of change in regions of interest , 2011, Medical Image Anal..

[17]  J. M. Oshorn Proc. Nat. Acad. Sei , 1978 .

[18]  Michael I. Miller,et al.  Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging☆ , 2003, NeuroImage.

[19]  Christos Davatzikos,et al.  Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI , 2009, NeuroImage.

[20]  Benjamin J. Shannon,et al.  Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.

[21]  Andrew J. Saykin,et al.  The Relationship between fMRI Activation and Cerebral Atrophy: Comparison of Normal Aging and Alzheimer Disease , 2000, NeuroImage.

[22]  Z. Dvořák,et al.  Rifampicin Does not Significantly Affect the Expression of Small Heterodimer Partner in Primary Human Hepatocytes , 2011, Front. Pharmacol..

[23]  J. Troncoso,et al.  Differences in the pattern of hippocampal neuronal loss in normal ageing and Alzheimer's disease , 1994, The Lancet.

[24]  M. Bobinski,et al.  Prediction of cognitive decline in normal elderly subjects with 2-[18F]fluoro-2-deoxy-d-glucose/positron-emission tomography (FDG/PET) , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[25]  Michael I. Miller,et al.  Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type , 2007, IEEE Transactions on Medical Imaging.

[26]  B. Kowalski,et al.  Partial least-squares regression: a tutorial , 1986 .

[27]  E. Carro,et al.  Pathological Alteration in the Choroid Plexus of Alzheimer’s Disease: Implication for New Therapy Approaches , 2012, Front. Pharmacol..

[28]  F. Shi,et al.  Hippocampal Shape Analysis of Alzheimer Disease Based on Machine Learning Methods , 2007, American Journal of Neuroradiology.

[29]  et al.,et al.  Discrimination between Alzheimer Dementia and Controls by Automated Analysis of Multicenter FDG PET , 2002, NeuroImage.

[30]  Yanxi Liu,et al.  Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification , 2004, MICCAI.

[31]  Stefan Klein,et al.  Early diagnosis of dementia based on intersubject whole-brain dissimilarities , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[32]  Kiralee M. Hayashi,et al.  Plaque and tangle imaging and cognition in normal aging and Alzheimer's disease , 2010, Neurobiology of Aging.

[33]  Marie Chupin,et al.  Automatic classi fi cation of patients with Alzheimer ' s disease from structural MRI : A comparison of ten methods using the ADNI database , 2010 .

[34]  E G Tangalos,et al.  Regional metabolic patterns in mild cognitive impairment and Alzheimer’s disease , 2000, Neurology.

[35]  R. Killiany,et al.  Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults , 2011, Neurology.

[36]  Zhen Zhou,et al.  Study on texture characteristics of hippocampus in MR images of patients with Alzheimer's Disease , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[37]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[38]  Kiralee M. Hayashi,et al.  Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps. , 2006, Archives of neurology.

[39]  Marleen de Bruijne,et al.  Prediction of Dementia by Hippocampal Shape Analysis , 2010, MLMI.

[40]  J. Gower Generalized procrustes analysis , 1975 .

[41]  Owen Carmichael,et al.  Standardization of analysis sets for reporting results from ADNI MRI data , 2013, Alzheimer's & Dementia.

[42]  Paul M. Thompson,et al.  Hippocampal shape analysis in Alzheimer’s disease: A population-based study , 2007, NeuroImage.

[43]  G. Frisoni Interactive neuroimaging , 2008, The Lancet Neurology.

[44]  Paul M. Thompson,et al.  Mapping hippocampal and ventricular change in Alzheimer disease , 2004, NeuroImage.

[45]  D. Wechsler A Standardized Memory Scale for Clinical Use , 1945 .

[46]  Paul M. Thompson,et al.  A Model of Volumetric Shape for the Analysis of Longitudinal Alzheimer's Disease Data , 2010, ECCV.

[47]  J. Reiber,et al.  Ventricular shape biomarkers for Alzheimer's disease in clinical MR images , 2008, Magnetic resonance in medicine.

[48]  D. Louis Collins,et al.  MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls , 2008, IEEE Transactions on Medical Imaging.

[49]  Stephen M. Smith,et al.  Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.

[50]  K. Blennow,et al.  Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study , 2006, The Lancet Neurology.

[51]  Nick C Fox,et al.  The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.

[52]  Dinggang Shen,et al.  Proceedings of the Second international conference on Machine learning in medical imaging , 2010 .

[53]  M F Weiner,et al.  SPECT imaging in dementias. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[54]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[55]  G. Frisoni,et al.  Morphological hippocampal markers for automated detection of Alzheimer's disease and mild cognitive impairment converters in magnetic resonance images. , 2009, Journal of Alzheimer's disease : JAD.

[56]  Olivier Salvado,et al.  Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models , 2010, MICCAI.

[57]  Mert R. Sabuncu,et al.  A Generative Model for Image Segmentation Based on Label Fusion , 2010, IEEE Transactions on Medical Imaging.