Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers

18F-FDG and 18F-Florbetapir PET in Clinical Practice

(2015) Matthieu Bailly et al.   CLINICAL NUCLEAR MEDICINE

Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment

(2015) Lele Xu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Gray & white matter tissue contrast differentiates Mild Cognitive Impairment converters from non-converters

(2014) Angela L. Jefferson et al.   Brain Imaging and Behavior

Meta-analytic Comparison Between PIB-PET and FDG-PET Results in Alzheimer’s Disease and MCI

(2014) Wei He et al.   CELL BIOCHEMISTRY AND BIOPHYSICS

Parahippocampal white matter volume predicts Alzheimer's disease risk in cognitively normal old adults

(2014) Travis R. Stoub et al.   NEUROBIOLOGY OF AGING

Prognostic classification of mild cognitive impairment and Alzheimer׳s disease: MRI independent component analysis

(2014) Auriel A. Willette et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Cognition and Amyloid Load in Alzheimer Disease Imaged With Florbetapir F 18(AV-45) Positron Emission Tomography

(2013) Paul B. Rosenberg et al.   AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY

MRI Markers for Mild Cognitive Impairment: Comparisons between White Matter Integrity and Gray Matter Volume Measurements

(2013) Yu Zhang et al.   PLoS One

Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment

(2012) V. Camus et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion

(2012) Eric Westman et al.   NEUROIMAGE

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

(2012) Katherine R. Gray et al.   NEUROIMAGE

Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers

(2012) Daoqiang Zhang et al.   PLoS One

The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease

(2011) Mert R. Sabuncu   ARCHIVES OF NEUROLOGY

Characterizing Alzheimer's disease using a hypometabolic convergence index

(2011) Kewei Chen et al.   NEUROIMAGE

Multimodal classification of Alzheimer's disease and mild cognitive impairment

(2011) Daoqiang Zhang et al.   NEUROIMAGE

Voxel-level comparison of arterial spin-labeled perfusion MRI and FDG-PET in Alzheimer disease

(2011) Y. Chen et al.   NEUROLOGY

Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease

(2010) K.B. Walhovd et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

(2010) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance

(2010) Michael Ewers et al.   NEUROBIOLOGY OF AGING

Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls

(2010) Eric Westman et al.   NEUROIMAGE

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

(2010) Rémi Cuingnet et al.   NEUROIMAGE

Comparing predictors of conversion and decline in mild cognitive impairment

(2010) S. M. Landau et al.   NEUROLOGY

Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort

(2009) Shannon Risacher et al.   Current Alzheimer Research

Robust Face Recognition via Sparse Representation

(2009) J. Wright et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change

(2009) P. Vemuri et al.   NEUROLOGY

Multi-modal imaging predicts memory performance in normal aging and cognitive decline

(2008) K.B. Walhovd et al.   NEUROBIOLOGY OF AGING

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

(2007) Yong Fan et al.   NEUROIMAGE