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 …
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 …
studies of the relationships between the two major proteins deposited in this disease …
APOE2: protective mechanism and therapeutic implications for Alzheimer's disease
Investigations of apolipoprotein E (APOE) gene, the major genetic risk modifier for
Alzheimer's disease (AD), have yielded significant insights into the pathogenic mechanism …
Alzheimer's disease (AD), have yielded significant insights into the pathogenic mechanism …
Brain atrophy in Alzheimer's disease and aging
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 …
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
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 …
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 …
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 …
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 …
disease management and therapeutic choices that can delay disease progression. Machine …
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 …
Why musical memory can be preserved in advanced Alzheimer's disease
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 …
Alzheimer's disease and different types of dementia, musical memory is surprisingly robust …