The purpose of this study was to use serial imaging to gain insight into the sequence of
pathologic events in Alzheimer's disease, and the clinical features associated with this sequence. …

To date, most diagnostic imaging comparisons between amyloid labelling ligands and other
imaging modalities have been between the use of amyloid labelling ligand 11 C Pittsburgh …

Data diversity is critical to success when training deep learning models. Medical imaging
data sets are often imbalanced as pathologic findings are generally rare, which introduces …

Objective: A workgroup commissioned by the Alzheimer's Association (AA) and the National
Institute on Aging (NIA) recently published research criteria for preclinical Alzheimer …

Introduction Our goal was to develop cut points for amyloid positron emission tomography (PET),
tau PET, flouro-deoxyglucose (FDG) PET, and MRI cortical thickness. Methods We …

Biomarkers of brain Aβ amyloid deposition can be measured either by cerebrospinal fluid
Aβ42 or Pittsburgh compound B positron emission tomography imaging. Our objective was to …

OBJECTIVE: To develop and validate a tool for Alzheimer's disease (AD) diagnosis in individual
subjects using support vector machine (SVM)-based classification of structural MR (sMR…

A major recent discovery was the identification of an expansion of a non-coding GGGGCC
hexanucleotide repeat in the C9ORF72 gene in patients with frontotemporal dementia and …

Task-free functional magnetic resonance imaging (TF-fMRI) has great potential for advancing
the understanding and treatment of neurologic illness. However, as with all measures of …

Background Three subtypes of Alzheimer's disease (AD) have been pathologically defined
on the basis of the distribution of neurofibrillary tangles: typical AD, hippocampal-sparing AD, …