Boosting power for clinical trials using classifiers based on multiple biomarkers

[1]  Cindee M. Madison,et al.  Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI , 2011, Neurobiology of Aging.

[2]  Andrew J. Saykin,et al.  Voxelwise genome-wide association study (vGWAS) , 2010, NeuroImage.

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

[4]  Michael W. Weiner,et al.  Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans , 2010, Neurobiology of Aging.

[5]  Michael W. Weiner,et al.  Twelve-month metabolic declines in probable Alzheimer's disease and amnestic mild cognitive impairment assessed using an empirically pre-defined statistical region-of-interest: Findings from the Alzheimer's Disease Neuroimaging Initiative , 2010, NeuroImage.

[6]  Michael Weiner,et al.  Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease , 2010, NeuroImage.

[7]  Norbert Schuff,et al.  Mapping Alzheimer's Disease Progression in 1309 Mri Scans: Power Estimates for Different Inter-scan Intervals ☆ ⁎ and the Alzheimer's Disease Neuroimaging Initiative , 2022 .

[8]  Michael W. Weiner,et al.  A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly , 2010, Proceedings of the National Academy of Sciences.

[9]  C. Jack,et al.  Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor‐based morphometry , 2010, Human brain mapping.

[10]  Jessica A. Turner,et al.  Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort , 2010, NeuroImage.

[11]  Nick C Fox,et al.  The clinical use of structural MRI in Alzheimer disease , 2010, Nature Reviews Neurology.

[12]  A. Dale,et al.  Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease , 2010, American Journal of Neuroradiology.

[13]  Ronald C Petersen,et al.  Alzheimer's disease: progress in prediction , 2010, The Lancet Neurology.

[14]  C. Jack,et al.  Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.

[15]  Janaina Mourão Miranda,et al.  Investigating the predictive value of whole-brain structural MR scans in autism: A pattern classification approach , 2010, NeuroImage.

[16]  Paul M. Thompson,et al.  Fddnp Binding Using Mr Derived Cortical Surface Maps , 2022 .

[17]  Liana G. Apostolova,et al.  Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation , 2010, IEEE Transactions on Medical Imaging.

[18]  A. Dale,et al.  Subregional neuroanatomical change as a biomarker for Alzheimer's disease , 2009, Proceedings of the National Academy of Sciences.

[19]  Tyrone D. Cannon,et al.  Elucidating a Magnetic Resonance Imaging-Based Neuroanatomic Biomarker for Psychosis: Classification Analysis Using Probabilistic Brain Atlas and Machine Learning Algorithms , 2009, Biological Psychiatry.

[20]  Norbert Schuff,et al.  Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects , 2009, NeuroImage.

[21]  Moo K. Chung,et al.  Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset , 2009, NeuroImage.

[22]  Michael Weiner,et al.  Automated MRI-based classification of primary progressive aphasia variants , 2009, NeuroImage.

[23]  Amity E. Green,et al.  Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls , 2009, Human brain mapping.

[24]  S. Resnick,et al.  Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. , 2009, Brain : a journal of neurology.

[25]  C. Jack,et al.  MRI and CSF biomarkers in normal, MCI, and AD subjects , 2009, Neurology.

[26]  H. Möller,et al.  Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. , 2009, Archives of general psychiatry.

[27]  Stephen Abela,et al.  Dementia in Malta: Experiences of dementia patients and their caregivers , 2009, Alzheimer's & Dementia.

[28]  A. Toga,et al.  Brain Structure and Obesity , 2009, NeuroImage.

[29]  Michael Weiner,et al.  Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls , 2009, NeuroImage.

[30]  Yalin Wang,et al.  Disease classification with hippocampal shape invariants , 2009, Hippocampus.

[31]  H. Hampel,et al.  Enrichment of MCI and early Alzheimer’s disease treatment trials using neurochemical & imaging candidate biomarkers , 2009, The journal of nutrition, health & aging.

[32]  R. Petersen,et al.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects , 2009, Annals of neurology.

[33]  Norbert Schuff,et al.  Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls , 2009, NeuroImage.

[34]  Paul M. Thompson,et al.  Mapping genetic influences on ventricular structure in twins , 2009, NeuroImage.

[35]  C. Jack,et al.  MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers , 2008, Brain : a journal of neurology.

[36]  T. Mexia,et al.  Author ' s personal copy , 2009 .

[37]  D. Loewenstein,et al.  Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease , 2008, Neurology.

[38]  Michael Weiner,et al.  Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects , 2008, NeuroImage.

[39]  Michael Weiner,et al.  and the Alzheimer’s Disease Neuroimaging Initiative* , 2007 .

[40]  Patrick Gallinari,et al.  Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation , 2008, MIAR.

[41]  X. Wu,et al.  Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI , 2008, NeuroImage.

[42]  C. Jack,et al.  P1-311: Use of the support vector machine and sensitivity of an Alzheimer's disease-related region-of-interest gray matter classifier in identifying amnestic mild cognitive impairment subjects who convert to Alzheimer's disease: Preliminary findings from the Alzheimer's disease neuroimaging initiati , 2008, Alzheimer's & Dementia.

[43]  Xiaoying Wu,et al.  Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study , 2008, NeuroImage.

[44]  Norbert Schuff,et al.  3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry , 2008, NeuroImage.

[45]  Paul M. Thompson,et al.  Automated Ventricular Mapping with Multi-atlas Fluid Image Alignment Reveals Genetic Effects in Alzheimer's Disease , 2007 .

[46]  Nick C Fox,et al.  Automatic classification of MR scans in Alzheimer's disease. , 2008, Brain : a journal of neurology.

[47]  Clifford R. Jack,et al.  Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies , 2008, NeuroImage.

[48]  Alan C. Evans,et al.  Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls , 2008, Neurobiology of Aging.

[49]  C. Jack,et al.  Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment , 2008, Neurology.

[50]  Christopher Clark,et al.  Disease-modifying therapies for Alzheimer disease , 2007, Neurology.

[51]  Kiralee M. Hayashi,et al.  Three-dimensional gray matter atrophy mapping in mild cognitive impairment and mild Alzheimer disease. , 2007, Archives of neurology.

[52]  I. Loy-English,et al.  Gender differences in dementia risk factors. , 2007, Gender medicine.

[53]  Kiralee M. Hayashi,et al.  3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease. , 2006, Brain : a journal of neurology.

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

[55]  TOPIRAMATE HELPS ESSENTIAL TREMOR, NEW STUDY REPORTS , 2006 .

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

[57]  D. Bennett,et al.  Change in body mass index and risk of incident Alzheimer disease , 2005, Neurology.

[58]  D. Perani,et al.  MCI conversion to dementia and the APOE genotype , 2004, Neurology.

[59]  Philip Scheltens,et al.  Medial temporal lobe atrophy on MRI predicts dementia in patients with mild cognitive impairment , 2004, Neurology.

[60]  Sabine Van Huffel,et al.  Brain tumor classification based on long echo proton MRS signals , 2004, Artif. Intell. Medicine.

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

[62]  C. Jack,et al.  Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.

[63]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.

[64]  R. Hébert,et al.  Risk factors for Alzheimer's disease: a prospective analysis from the Canadian Study of Health and Aging. , 2002, American journal of epidemiology.

[65]  Nick C Fox,et al.  Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects. , 2000, Archives of neurology.

[66]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[67]  E. Tangalos,et al.  Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .

[68]  Yoav Freund,et al.  A Short Introduction to Boosting , 1999 .

[69]  J. C. BurgesChristopher.  A Tutorial on Support Vector Machines for Pattern Recognition , 1998 .

[70]  J. Haines,et al.  Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. , 1993, Science.

[71]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.