Alzheimer's Disease

Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines.

The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urge...

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 c...

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 robo...

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 inve...

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 ...

Cuddly 'seal pup' robot helps patients with dementia to relax.

[Artificial intelligence meeting neuropsychology. Semantic memory in normal and pathological aging].

Artificial intelligence (IA) is the subject of much research, but also many fantasies. It aims to re...

Lion's Mane, Hericium erinaceus and Tiger Milk, Lignosus rhinocerotis (Higher Basidiomycetes) Medicinal Mushrooms Stimulate Neurite Outgrowth in Dissociated Cells of Brain, Spinal Cord, and Retina: An In Vitro Study.

Neurodegenerative disease is defined as a deterioration of the nervous system in the intellectual an...

Robust supervised segmentation of neuropathology whole-slide microscopy images.

Alzheimer's disease is characterized by brain pathological aggregates such as Aβ plaques and neurofi...

Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging.

Dementia, Alzheimer's disease (AD) in particular is a global problem and big threat to the aging pop...

Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Alzheimer's disease (AD) is one of the most serious progressive neurodegenerative diseases among the...

Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study.

Several studies have demonstrated that fully automated pattern recognition methods applied to struct...

Neuropsychological test selection for cognitive impairment classification: A machine learning approach.

INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is c...

Use of Robotic Pets in Providing Stimulation for Nursing Home Residents with Dementia.

Trial experiments utilized robotic pets to facilitate self-reliance in nursing home residents. A rem...

Tele-care robot for assisting independent senior citizens who live at home.

In the last twenty years most developed countries face dramatic demographic changes, and predominant...

Detecting Learning and Reasoning Patterns in a CDSS for Dementia Investigation.

Reasoning conducted in clinical practice is manifested through different and often combined reasonin...

Caregiver and social assistant robot for rehabilitation and coaching for the elderly.

BACKGROUND: Socially assistive robotics (SAR) has been a major field of investigation during the las...

Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a rol...

Clinical prediction from structural brain MRI scans: a large-scale empirical study.

Multivariate pattern analysis (MVPA) methods have become an important tool in neuroimaging, revealin...

Factors associated with motor vehicle crashes in cognitively impaired older adults.

Because cognitive impairment might pose a safety risk for these drivers and the public, we examined ...