Alzheimer's disease: connecting findings from graph theoretical studies of brain networks
The interrelationships between pathological processes and emerging clinical phenotypes in
Alzheimer's disease (AD) are important yet complicated to study, because the brain is a …
Alzheimer's disease (AD) are important yet complicated to study, because the brain is a …
Loss of brain inter-frequency hubs in Alzheimer's disease
Alzheimer's disease (AD) causes alterations of brain network structure and function. The
latter consists of connectivity changes between oscillatory processes at different frequency …
latter consists of connectivity changes between oscillatory processes at different frequency …
Single-subject grey matter graphs in Alzheimer's disease
Coordinated patterns of cortical morphology have been described as structural graphs and
previous research has demonstrated that properties of such graphs are altered in …
previous research has demonstrated that properties of such graphs are altered in …
Using individualized brain network for analyzing structural covariance of the cerebral cortex in Alzheimer's patients
Cortical thinning patterns in Alzheimer's disease (AD) have been widely reported through
conventional regional analysis. In addition, the coordinated variance of cortical thickness in …
conventional regional analysis. In addition, the coordinated variance of cortical thickness in …
Human age estimation with surface-based features from MRI images
Over the past years, many efforts have been made in the estimation of the physiological age
based on the human MRI brain images. In this paper, we propose a novel regression model …
based on the human MRI brain images. In this paper, we propose a novel regression model …
Artificial Intelligence Based Hierarchical Classification of Frontotemporal Dementia
Frontotemporal dementia (FTD) is a typical kind of presenile dementia with three main
subtypes: behavioral-variant FTD (bvFTD), non-fluent variant primary progressive aphasia …
subtypes: behavioral-variant FTD (bvFTD), non-fluent variant primary progressive aphasia …
Hierarchical Classification of Frontotemporal Dementia Subtypes Utilizing Tabular-to-Image Data Conversion with Deep Learning Methods
Frontotemporal dementia (FTD) is a group of neurodegenerative disorders characterized by
progressive damage to the frontal and temporal lobes of the brain. FTD includes notable …
progressive damage to the frontal and temporal lobes of the brain. FTD includes notable …
Artificial intelligence methods based hierarchical classification of frontotemporal dementia to improve diagnostic predictability
Patients with Frontotemporal Dementia (FTD) have impaired cognitive abilities, executive
and behavioral traits, loss of language ability, and decreased memory capabilities. Based on …
and behavioral traits, loss of language ability, and decreased memory capabilities. Based on …
Single-subject structural networks with closed-form rotation invariant matching improve power in developmental studies of the cortex
Although much attention has recently been focused on single-subject functional networks,
using methods such as resting-state functional MRI, methods for constructing single-subject …
using methods such as resting-state functional MRI, methods for constructing single-subject …
[PDF][PDF] Loss of inter-frequency brain hubs in Alzheimer's disease
J Guillonb, Y Attalc, O Colliotb… - arxiv preprint arxiv …, 2017 - researchgate.net
Alzheimer's disease (AD) causes alterations of brain network structure and function. The
latter consists of connectivity changes between oscillatory processes at different frequency …
latter consists of connectivity changes between oscillatory processes at different frequency …