Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

[1]  Peter J Hellyer,et al.  Human brain mapping , 2012, Nature Methods.

[2]  Ronald C Petersen,et al.  Detection of prodromal Alzheimer's disease , 2008, Annals of neurology.

[3]  S. Resnick,et al.  Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging , 2008, Neurobiology of Aging.

[4]  R. Gur,et al.  Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification Study , 2008, Biological Psychiatry.

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

[6]  C. Jack,et al.  3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease. , 2007, Brain : a journal of neurology.

[7]  M. Viitanen,et al.  PET amyloid ligand [11C]PIB uptake is increased in mild cognitive impairment , 2007, Neurology.

[8]  A. Auchus,et al.  Diffusion Tensor Imaging of Normal Appearing White Matter and Its Correlation with Cognitive Functioning in Mild Cognitive Impairment and Alzheimer's Disease , 2007, Annals of the New York Academy of Sciences.

[9]  Dinggang Shen,et al.  COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements , 2007, IEEE Transactions on Medical Imaging.

[10]  A. Pfefferbaum,et al.  Diffusion tensor imaging and aging , 2006, Neuroscience & Biobehavioral Reviews.

[11]  Yiping P. Du,et al.  Hippocampus volume loss due to chronic heavy drinking. , 2006, Alcoholism, clinical and experimental research.

[12]  Yiping P. Du,et al.  Hypercortisolism in alcohol dependence and its relation to hippocampal volume loss. , 2006, Journal of studies on alcohol.

[13]  Kimberly M Ray,et al.  Mild cognitive impairment: apparent diffusion coefficient in regional gray matter and white matter structures. , 2006, Radiology.

[14]  A. Saykin,et al.  Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI , 2006, Neurology.

[15]  M. Filippi,et al.  The contribution of voxel-based morphometry in staging patients with mild cognitive impairment , 2006, Neurology.

[16]  Y. Zang,et al.  Voxel-based detection of white matter abnormalities in mild Alzheimer disease , 2006, Neurology.

[17]  Christos Davatzikos,et al.  On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[18]  D. Shen,et al.  Past adult lead exposure is linked to neurodegeneration measured by brain MRI , 2006, Neurology.

[19]  D. Bennett,et al.  White matter changes in mild cognitive impairment and AD: A diffusion tensor imaging study , 2006, Neurobiology of Aging.

[20]  C. Oppenheim,et al.  Diffusion tensor imaging in early Alzheimer's disease , 2006, Psychiatry Research: Neuroimaging.

[21]  Matthias J. Müller,et al.  Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus , 2006, Psychiatry Research: Neuroimaging.

[22]  Christos Davatzikos,et al.  Manifold based analysis of diffusion tensor images using isomaps , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[23]  Reeti Tandon,et al.  Neural networks for longitudinal studies in Alzheimer's disease , 2006, Artif. Intell. Medicine.

[24]  B. Reisberg,et al.  Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment , 2006, Neurobiology of Aging.

[25]  Daniel Rueckert,et al.  IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis , 2006 .

[26]  Janaina Mourão Miranda,et al.  Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data , 2005, NeuroImage.

[27]  Dinggang Shen,et al.  Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection , 2005, NeuroImage.

[28]  B. Turetsky,et al.  Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. , 2005, Archives of general psychiatry.

[29]  Dinggang Shen,et al.  Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM , 2005, MICCAI.

[30]  Matthias J. Müller,et al.  Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment , 2005, Neurobiology of Aging.

[31]  Stephen C. Strother,et al.  Support vector machines for temporal classification of block design fMRI data , 2005, NeuroImage.

[32]  S. Leurgans,et al.  MRI predictors of risk of incident Alzheimer disease , 2005, Neurology.

[33]  Michael I. Miller,et al.  Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly , 2005, NeuroImage.

[34]  B. Reisberg,et al.  Diffusion Tensor Imaging of Frontal White Matter Microstructure in Early Alzheimer’s Disease: A Preliminary Study , 2005, Journal of geriatric psychiatry and neurology.

[35]  Hojjat Adeli,et al.  Alzheimer's disease and models of computation: imaging, classification, and neural models. , 2005, Journal of Alzheimer's disease : JAD.

[36]  G. Frisoni,et al.  A voxel based morphometry study on mild cognitive impairment , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[37]  Nick C. Fox,et al.  Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease , 2004, NeuroImage.

[38]  A. Hofman,et al.  Cerebral white matter lesions and the risk of dementia. , 2004, Archives of neurology.

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

[40]  Matthias J. Müller,et al.  Ultrastructural Hippocampal and White Matter Alterations in Mild Cognitive Impairment: A Diffusion Tensor Imaging Study , 2004, Dementia and Geriatric Cognitive Disorders.

[41]  J. Schneider,et al.  Cerebral infarctions and the likelihood of dementia from Alzheimer disease pathology , 2004, Neurology.

[42]  Dinggang Shen,et al.  Morphological classification of brains via high-dimensional shape transformations and machine learning methods , 2004, NeuroImage.

[43]  S. Resnick,et al.  Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain , 2003, The Journal of Neuroscience.

[44]  J. Schneider,et al.  Relation of cerebral infarctions to dementia and cognitive function in older persons , 2003, Neurology.

[45]  Jean-Claude Baron,et al.  Early diagnosis of alzheimer’s disease: contribution of structural neuroimaging , 2003, NeuroImage.

[46]  Nick C Fox,et al.  Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.

[47]  Dinggang Shen,et al.  Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration , 2003, NeuroImage.

[48]  V. Calhoun,et al.  Abnormal White Matter Organization in Huntington's Disease Evaluated with Diffusion Tensor MRI , 2003 .

[49]  Yanxi Liu,et al.  SVM Based Feature Screening Applied To Hierarchical Cervical Cancer Detection , 2003 .

[50]  Dinggang Shen,et al.  HAMMER: hierarchical attribute matching mechanism for elastic registration , 2002, IEEE Transactions on Medical Imaging.

[51]  M. Moseley.  Diffusion tensor imaging and aging – a review , 2002, NMR in biomedicine.

[52]  J. Baron,et al.  Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment , 2002, Neuroreport.

[53]  W. M. van der Flier,et al.  Cognitive decline in AD and mild cognitive impairment is associated with global brain damage , 2002, Neurology.

[54]  Karl J. Friston,et al.  Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias , 2002, NeuroImage.

[55]  C. Jack,et al.  Brain MRI hippocampal volume and prediction of clinical status in a mild cognitive impairment trial , 2002, Journal of Molecular Neuroscience.

[56]  M. Filippi,et al.  White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging , 2002, Journal of neurology, neurosurgery, and psychiatry.

[57]  P. Scheltens,et al.  Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment , 2002, Journal of neurology, neurosurgery, and psychiatry.

[58]  S. Resnick,et al.  Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model , 2002, NeuroImage.

[59]  Christos Davatzikos,et al.  Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy , 2001, NeuroImage.

[60]  N. Schuff,et al.  Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease , 2001, Journal of neurology, neurosurgery, and psychiatry.

[61]  D. Bennett,et al.  MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer’s disease☆ ☆ This research was supported by grants P01 AG09466 and P30 AG10161 from the National Institute on Aging, National Institutes of Health. , 2001, Neurobiology of Aging.

[62]  A. Convit,et al.  Hippocampal formation glucose metabolism and volume losses in MCI and AD , 2001, Neurobiology of Aging.

[63]  R. Woods,et al.  Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. , 2001, Cerebral cortex.

[64]  T. Nihashi,et al.  Expression and Distribution of Beta Amyloid Precursor Protein and Beta Amyloid Peptide in Reactive Astrocytes After Transient Middle Cerebral Artery Occlusion , 2001, Acta Neurochirurgica.

[65]  C. Jack,et al.  Rates of hippocampal atrophy correlate with change in clinical status in aging and AD , 2000, Neurology.

[66]  C. Jack,et al.  Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD , 2000, Neurology.

[67]  S. Resnick,et al.  Longitudinal changes in MRI volumes in older adults , 2000, NeuroImage.

[68]  S. Resnick,et al.  One-year age changes in MRI brain volumes in older adults. , 2000, Cerebral cortex.

[69]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.

[70]  B. Pappas,et al.  Cleavage of amyloid precursor protein elicited by chronic cerebral hypoperfusion , 2000, Neurobiology of Aging.

[71]  A. Convit,et al.  Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer’s disease☆ , 2000, Neurobiology of Aging.

[72]  J. Shi,et al.  Hypoperfusion induces overexpression of β-amyloid precursor protein mRNA in a focal ischemic rodent model , 2000, Brain Research.

[73]  Y. Benjamini,et al.  Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics , 1999 .

[74]  Jerry L. Prince,et al.  Adaptive fuzzy segmentation of magnetic resonance images , 1999, IEEE Transactions on Medical Imaging.

[75]  C. Jack,et al.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment , 1999, Neurology.

[76]  B. Lin,et al.  Progressive parenchymal deposition of β-amyloid precursor protein in rat brain following global cerebral ischemia , 1999, Acta Neuropathologica.

[77]  S. Resnick,et al.  An image-processing system for qualitative and quantitative volumetric analysis of brain images. , 1998, Journal of computer assisted tomography.

[78]  Alan C. Evans,et al.  3D Anatomical Atlas of the Human Brain , 1998, NeuroImage.

[79]  H. S. Kim,et al.  Post‐ischemic changes in the expression of Alzheimer's APP isoforms in rat cerebral cortex , 1998, Neuroreport.

[80]  H. Braak,et al.  Evolution of Alzheimer's disease related cortical lesions. , 1998, Journal of neural transmission. Supplementum.

[81]  William M. Wells,et al.  Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.

[82]  G C Roman,et al.  Brain infarction and the clinical expression of Alzheimer disease. , 1997, JAMA.

[83]  J. Kaye,et al.  Volume loss of the hippocampus and temporal lobe in healthy elderly persons destined to develop dementia , 1997, Neurology.

[84]  W. Markesbery,et al.  Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. , 1997, JAMA.

[85]  A. Convit,et al.  Specific Hippocampal Volume Reductions in Individuals at Risk for Alzheimer’s Disease , 1997, Neurobiology of Aging.

[86]  G. Rodriguez,et al.  Sex Differences in Regional Cerebral Blood Flow , 1988, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.