Most neurological diseases are usually accompanied by a broad spectrum of oculomotor
alterations. Being able to record and analyze these different types of eye movements would …

Mild cognitive impairment (MCI), representing the 'transitional zone'between normal
cognition and dementia, has become a novel topic in clinical research. Although early …

Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …

Eye-tracking technology has become a powerful tool for biomedical-related applications due
to its simplicity of operation and low requirements on patient language skills. This study aims …

Existing research has shown the potential of classifying Alzheimer's Disease (AD) from eye-
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …

Saliency and visual attention have been studied in a computational context for decades,
mostly in the capacity of predicting spatial topographical saliency maps or simulated …

We present a machine learning analysis of eye-tracking data for the detection of mild
cognitive impairment, a decline in cognitive abilities that is associated with an increased risk …

There has been increasing interest in non-invasive predictors of Alzheimer's disease (AD)
as an initial screen for this condition. Previously, successful attempts leveraged eye-tracking …

Alzheimer's disease (AD) is a progressive neurodegenerative condition that results in
impaired performance in multiple cognitive domains. Preclinical changes in eye movements …

Alzheimer's Disease (AD) is a neurodegenerative disorder that causes a continuous decline
in cognitive functions and eventually results in death. An early AD diagnosis is important for …