Alzheimer disease
DS Knopman, H Amieva, RC Petersen… - Nature reviews Disease …, 2021 - nature.com
Alzheimer disease (AD) is biologically defined by the presence of β-amyloid-containing
plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic …
plaques and tau-containing neurofibrillary tangles. AD is a genetic and sporadic …
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
The NINCDS–ADRDA and the DSM-IV-TR criteria for Alzheimer's disease (AD) are the
prevailing diagnostic standards in research; however, they have now fallen behind the …
prevailing diagnostic standards in research; however, they have now fallen behind the …
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
For the last decade, it has been shown that neuroimaging can be a potential tool for the
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment …
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
Recently, there have been great interests for computer-aided diagnosis of Alzheimer's
disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous …
disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous …
Plasma markers predict changes in amyloid, tau, atrophy and cognition in non-demented subjects
JB Pereira, S Janelidze, E Stomrud, S Palmqvist… - Brain, 2021 - academic.oup.com
It is currently unclear whether plasma biomarkers can be used as independent prognostic
tools to predict changes associated with early Alzheimer's disease. In this study, we sought …
tools to predict changes associated with early Alzheimer's disease. In this study, we sought …
Multimodal classification of Alzheimer's disease and mild cognitive impairment
Effective and accurate diagnosis of Alzheimer's disease (AD), as well as its prodromal stage
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …
(ie, mild cognitive impairment (MCI)), has attracted more and more attention recently. So far …
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
Many machine learning and pattern classification methods have been applied to the
diagnosis of Alzheimer's disease (AD) and its prodromal stage, ie, mild cognitive impairment …
diagnosis of Alzheimer's disease (AD) and its prodromal stage, ie, mild cognitive impairment …
Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease
Background Alzheimer's disease (AD) is the most common form of dementia, characterized
by progressive cognitive impairment and neurodegeneration. However, despite extensive …
by progressive cognitive impairment and neurodegeneration. However, despite extensive …
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
C Davatzikos, P Bhatt, LM Shaw, KN Batmanghelich… - Neurobiology of …, 2011 - Elsevier
Magnetic resonance imaging (MRI) patterns were examined together with cerebrospinal
fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) …
fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) …
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
SW Scheff, DA Price, FA Schmitt, EJ Mufson - Neurobiology of aging, 2006 - Elsevier
One of the major neuropathological findings in the brains of individuals with Alzheimer's
disease (AD) is a loss of synaptic contacts in both the neocortex and hippocampus. Here we …
disease (AD) is a loss of synaptic contacts in both the neocortex and hippocampus. Here we …