Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review

S Grueso, R Viejo-Sobera - Alzheimer's research & therapy, 2021 - Springer
Background An increase in lifespan in our society is a double-edged sword that entails a
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …

Imaging the evolution and pathophysiology of Alzheimer disease

W Jagust - Nature Reviews Neuroscience, 2018 - nature.com
Technologies for imaging the pathophysiology of Alzheimer disease (AD) now permit
studies of the relationships between the two major proteins deposited in this disease …

APOE2: protective mechanism and therapeutic implications for Alzheimer's disease

Z Li, F Shue, N Zhao, M Shinohara, G Bu - Molecular neurodegeneration, 2020 - Springer
Investigations of apolipoprotein E (APOE) gene, the major genetic risk modifier for
Alzheimer's disease (AD), have yielded significant insights into the pathogenic mechanism …

Brain atrophy in Alzheimer's disease and aging

L Pini, M Pievani, M Bocchetta, D Altomare… - Ageing research …, 2016 - Elsevier
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

HI Suk, SW Lee, D Shen… - NeuroImage, 2014 - Elsevier
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 …

The lifespan human connectome project in aging: an overview

SY Bookheimer, DH Salat, M Terpstra, BM Ances… - Neuroimage, 2019 - Elsevier
Abstract The original Human Connectome Project yielded a rich data set on structural and
functional connectivity in a large sample of healthy young adults using improved methods of …

In vivo cortical spreading pattern of tau and amyloid in the Alzheimer disease spectrum

H Cho, JY Choi, MS Hwang, YJ Kim, HM Lee… - Annals of …, 2016 - Wiley Online Library
Objective To determine the in vivo cortical spreading pattern of tau and amyloid and to
establish positron emission tomography (PET) image‐based tau staging in the Alzheimer …

Early diagnosis of Alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach

VS Diogo, HA Ferreira, D Prata… - Alzheimer's Research & …, 2022 - Springer
Background Early and accurate diagnosis of Alzheimer's disease (AD) is essential for
disease management and therapeutic choices that can delay disease progression. Machine …

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

HI Suk, SW Lee, D Shen… - Brain Structure and …, 2015 - Springer
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 …

Why musical memory can be preserved in advanced Alzheimer's disease

JH Jacobsen, J Stelzer, TH Fritz, G Chételat, R La Joie… - Brain, 2015 - academic.oup.com
Musical memory is considered to be partly independent from other memory systems. In
Alzheimer's disease and different types of dementia, musical memory is surprisingly robust …