Dementia

A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease.

Alzheimer's disease (AD) is a neurological degenerative disorder that leads to progressive mental deterioration. This work introduces a computational approach to improve our understanding of the progression of AD. We use ensemble learning methods and deep neural networks to identify salient structural correlations among brain regions that degenerate together in AD; this provides an understanding o...

A Dual Targeting Drug Delivery System for Penetrating Blood-Brain Barrier and Selectively Delivering siRNA to Neurons for Alzheimer's Disease Treatment.

BACKGROUND: Alzheimer's disease (AD) is one of most serious threats to human beings, however, the treatment is hindered by blood-brain barrier and poor intra-brain cell selectivity.

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional sin...

Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection o...

Myricetin protects hippocampal CA3 pyramidal neurons and improves learning and memory impairments in rats with Alzheimer's disease.

There is currently no treatment for effectively slowing the progression of Alzheimer's disease, so early prevention is very important. Numerous studie...

A Pilot Longitudinal Study on Cerebrospinal Fluid (CSF) Tau Protein in Alzheimer's Disease and Vascular Dementia.

BACKGROUND: Alzheimer's disease (AD) has high a prevalence rate, high medical costs, and care difficulties, and has become a serious social and econom...

A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment.

BACKGROUND: Assistive technology, in the form of a smart home environment, is employed to support people with dementia.

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.

The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a promising method for identifying patients with demen...

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.

We present a comparative split-half resampling analysis of various data driven feature selection and classification methods for the whole brain voxel-...

Dissociation of Down syndrome and Alzheimer's disease effects with imaging.

INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amyloid plaques and tangles and a high incidence of d...

[Rehabilitation and nursing-care robots].

In the extremely aged society, rehabilitation staff will be required to provide ample rehabilitation training for more stroke patients and more aged p...

[Robotics and improvement of the quality of geriatric care].

New technologies offer innovations to improve the care of the elderly with Alzheimer's or and other forms of dementia. Robots, endowed with features s...

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most pre...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

The analysis of positron emission tomography (PET) scan image is challenging due to a high level of noise and a low resolution and also because differ...

Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector Machine.

β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheimer`s disease therapy. We collected a data set of 29...

Dementia and Robotics: People with Advancing Dementia and Their Carers Driving an Exploration into an Engineering Solution to Maintaining Safe Exercise Regimes.

The merging of the human world and the information technology world is advancing at a pace, even for those with dementia there are many useful smart '...

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such convers...

Using a Robotic Cat in Dementia Care: A Pilot Study.

The current study aimed to explore (a) reactions of individuals with dementia to an interactive robotic cat and their relatives' and professional care...

Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.

In this paper, experimental neurophysiologic recording and statistical analysis are combined to investigate the nonlinear characteristic and the cogni...

Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.

Research on an early detection of Mild Cognitive Impairment (MCI), a prodromal stage of Alzheimer's Disease (AD), with resting-state functional Magnet...