How early can we predict Alzheimer's disease using computational anatomy?

[1]  Karsten Mueller,et al.  Meta-analysis based SVM classification enables accurate detection of Alzheimer's disease across different clinical centers using FDG-PET and MRI , 2013, Psychiatry Research: Neuroimaging.

[2]  Eric M Reiman,et al.  Cortical atrophy in presymptomatic Alzheimer's disease presenilin 1 mutation carriers , 2012, Journal of Neurology, Neurosurgery & Psychiatry.

[3]  Ramon Casanova,et al.  Classification of Structural MRI Images in Alzheimer's Disease from the Perspective of Ill-Posed Problems , 2012, PloS one.

[4]  C. Jack,et al.  Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance , 2012, Neurobiology of Aging.

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

[6]  W. Kukull,et al.  Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 , 2012, Journal of neuropathology and experimental neurology.

[7]  Peter A. Bandettini,et al.  Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images , 2012, NeuroImage.

[8]  C. Rowe,et al.  Accelerated cortical atrophy in cognitively normal elderly with high β-amyloid deposition , 2012, Neurology.

[9]  B. Dickerson,et al.  MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults , 2012, Neurology.

[10]  J. Trojanowski,et al.  Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification , 2011, Neurobiology of Aging.

[11]  Clifford R. Jack,et al.  Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier , 2011, NeuroImage.

[12]  T. Iwatsubo.  [Alzheimer's disease Neuroimaging Initiative (ADNI)]. , 2011, Nihon rinsho. Japanese journal of clinical medicine.

[13]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease: Report of the NINCDS—ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease , 2011, Neurology.

[14]  J. Dukart,et al.  Age Correction in Dementia – Matching to a Healthy Brain , 2011, PloS one.

[15]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[16]  Karsten Mueller,et al.  Combined Evaluation of FDG-PET and MRI Improves Detection and Differentiation of Dementia , 2011, PloS one.

[17]  Vikas Singh,et al.  Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population , 2011, NeuroImage.

[18]  A. Dale,et al.  Relative capability of MR imaging and FDG PET to depict changes associated with prodromal and early Alzheimer disease. , 2010, Radiology.

[19]  Stefan Klöppel,et al.  Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters , 2010, NeuroImage.

[20]  Christian Böhm,et al.  Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease , 2010, NeuroImage.

[21]  Blaise Hanczar,et al.  Performance of Error Estimators for Classification , 2010 .

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

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

[24]  Matthias L. Schroeter,et al.  Neural correlates of Alzheimer's disease and mild cognitive impairment: A systematic and quantitative meta-analysis involving 1351 patients , 2009, NeuroImage.

[25]  Marie Chupin,et al.  Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging , 2009, NeuroImage.

[26]  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.

[27]  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.

[28]  A. Dale,et al.  Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment. , 2009, Radiology.

[29]  Clifford R. Jack,et al.  Accuracy of Dementia Diagnosis: A Direct Comparison of Radiologists and a Computerized Method , 2009 .

[30]  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.

[31]  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.

[32]  Nick C Fox,et al.  Accuracy of dementia diagnosis—a direct comparison between radiologists and a computerized method , 2008, Brain : a journal of neurology.

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

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

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

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

[37]  Eric E. Smith,et al.  Magnetic resonance imaging white matter hyperintensities and brain volume in the prediction of mild cognitive impairment and dementia. , 2008, Archives of neurology.

[38]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[39]  P. Scheltens,et al.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria , 2007, The Lancet Neurology.

[40]  R. Mayeux,et al.  Hippocampal and entorhinal atrophy in mild cognitive impairment , 2007, Neurology.

[41]  Nick C. Fox,et al.  Atrophy rates of the cingulate gyrus and hippocampus in AD and FTLD , 2007, Neurobiology of Aging.

[42]  W. Krampla,et al.  Conversion from subtypes of mild cognitive impairment to Alzheimer dementia , 2007, Neurology.

[43]  J. Jolles,et al.  Ten-year risk of dementia in subjects with mild cognitive impairment , 2006, Neurology.

[44]  Martin Rossor,et al.  Measurements of the amygdala and hippocampus in pathologically confirmed Alzheimer disease and frontotemporal lobar degeneration. , 2006, Archives of neurology.

[45]  P. Modrego,et al.  Predictors of conversion to dementia of probable Alzheimer type in patients with mild cognitive impairment. , 2006, Current Alzheimer research.

[46]  F Barkhof,et al.  Hippocampal atrophy on MRI in frontotemporal lobar degeneration and Alzheimer’s disease , 2005, Journal of Neurology, Neurosurgery & Psychiatry.

[47]  Joseph A Maldjian,et al.  Precentral gyrus discrepancy in electronic versions of the Talairach atlas , 2004, NeuroImage.

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

[49]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[50]  G. Frisoni,et al.  Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry , 2002, Journal of neurology, neurosurgery, and psychiatry.

[51]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[52]  D. Neary,et al.  Evaluation of the NINCDS-ADRDA criteria in the differentiation of Alzheimer’s disease and frontotemporal dementia , 1999, Journal of neurology, neurosurgery, and psychiatry.

[53]  H. Soininen,et al.  Volumes of hippocampus, amygdala and frontal lobes in the MRI-based diagnosis of early Alzheimer's disease: Correlation with memory functions , 1995, Journal of neural transmission. Parkinson's disease and dementia section.

[54]  Anil K. Jain,et al.  Bootstrap Techniques for Error Estimation , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[56]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.