Neurodegenerative disorders leading to dementia are common diseases that affect many older and some young adults. Neuroimaging methods are important tools for assessing and …
Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder with a clinical presentation characterized by memory impairment and executive dysfunction. Our group …
Deep neural networks currently provide the most advanced and accurate machine learning models to distinguish between structural MRI scans of subjects with Alzheimer's disease and …
Magnetic resonance imaging (MRI) based diffusion tensor imaging (DTI) can assess white matter (WM) integrity through several metrics, such as fractional anisotropy (FA), axial/radial …
SL Risacher, AJ Saykin - Annual review of clinical psychology, 2013 - annualreviews.org
The goal of this review is to provide an overview of biomarkers for Alzheimer's disease (AD), with emphasis on neuroimaging and cerebrospinal fluid (CSF) biomarkers. We first review …
We use a new, unsupervised multivariate imaging and analysis strategy to identify related patterns of reduced white matter integrity, measured with the fractional anisotropy (FA) …
WY Wang, JT Yu, Y Liu, RH Yin, HF Wang… - Translational …, 2015 - Springer
Background Voxel-based morphometry (VBM) using structural brain MRI has been widely used for the assessment of impairment in Alzheimer's disease (AD), but previous studies in …
NJ Gong, CS Wong, CC Chan, LM Leung… - Magnetic Resonance …, 2013 - Elsevier
OBJECT: Diffusional kurtosis imaging (DKI), a natural extension of diffusion tensor imaging (DTI), can characterize non-Gaussian diffusion in the brain. We investigated the capability of …
LK Obler, E Rykhlevskaia, D Schnyer… - Brain and …, 2010 - Elsevier
To determine structural brain correlates of naming abilities in older adults, we tested 24 individuals aged 56–79 on two confrontation-naming tests (the Boston Naming Test (BNT) …