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A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Alzheimer's disease
An estimated 24 million people worldwide have dementia, the majority of whom are thought
to have Alzheimer's disease. Thus, Alzheimer's disease represents a major public health …
to have Alzheimer's disease. Thus, Alzheimer's disease represents a major public health …
Mindboggling morphometry of human brains
Mindboggle (http://mindboggle. info) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
Metric learning with spectral graph convolutions on brain connectivity networks
Graph representations are often used to model structured data at an individual or population
level and have numerous applications in pattern recognition problems. In the field of …
level and have numerous applications in pattern recognition problems. In the field of …
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive
decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be …
decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be …
Defining cognitive reserve and implications for cognitive aging
C Pettigrew, A Soldan - Current neurology and neuroscience reports, 2019 - Springer
Abstract Purpose of Review The aim of this review is to summarize current conceptual
models of cognitive reserve (CR) and related concepts and to discuss evidence for these …
models of cognitive reserve (CR) and related concepts and to discuss evidence for these …
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 …
BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease
Alzheimer's disease (AD), the most common form of dementia, shares many aspects of
abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based …
abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based …
The structural basis of inter-individual differences in human behaviour and cognition
Inter-individual variability in perception, thought and action is frequently treated as a source
of'noise'in scientific investigations of the neural mechanisms that underlie these processes …
of'noise'in scientific investigations of the neural mechanisms that underlie these processes …
Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database
Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …