Dementia

[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 reproduce human intelligence in its learning capacity, knowledge storage and computation. In 2014, the Defense Advanced Research Projects Agency (DARPA) started the restoring active memory (RAM) program that attempt to develop implantable technology to bridge gaps in the injured brain and restore norm...

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 role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establish typical and atypical aging trajectories.

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 last decade and, as it develops, the groups the techn...

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 predominantly the rapid aging of their population. As the sha...

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

INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is clinically relevant. The aim of this research was t...

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 structural magnetic resonance imaging (MRI) aid in the d...

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 elderly, therefore the identification of conversi...

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 population. An image based computer-aided dementia di...

Robust supervised segmentation of neuropathology whole-slide microscopy images.

Alzheimer's disease is characterized by brain pathological aggregates such as Aβ plaques and neurofibrillary tangles which trigger neuroinflammation a...

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 and cognitive capabilities. Statistics show that mor...

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 what patient characteristics might be associated w...