A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

S Rathore, M Habes, MA Iftikhar, A Shacklett… - NeuroImage, 2017 - Elsevier
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

C Ballard, S Gauthier, A Corbett, C Brayne, D Aarsland… - the Lancet, 2011 - thelancet.com
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 …

Mindboggling morphometry of human brains

A Klein, SS Ghosh, FS Bao, J Giard… - PLoS computational …, 2017 - journals.plos.org
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 …

Metric learning with spectral graph convolutions on brain connectivity networks

SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee… - NeuroImage, 2018 - Elsevier
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 …

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka… - Neuroimage, 2015 - Elsevier
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 …

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 …

Multimodal classification of Alzheimer's disease and mild cognitive impairment

D Zhang, Y Wang, L Zhou, H Yuan, D Shen… - Neuroimage, 2011 - Elsevier
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 …

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease

C Gaser, K Franke, S Klöppel, N Koutsouleris, H Sauer… - PloS one, 2013 - journals.plos.org
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 …

The structural basis of inter-individual differences in human behaviour and cognition

R Kanai, G Rees - Nature Reviews Neuroscience, 2011 - nature.com
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 …

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

R Cuingnet, E Gerardin, J Tessieras, G Auzias… - neuroimage, 2011 - Elsevier
Recently, several high dimensional classification methods have been proposed to
automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive …