Detecting cognitive impairment by eye movement analysis using automatic classification algorithms

• Published in: Journal of neuroscience methods Vol. 201; no. 1; pp. 196 - 203
• Main Authors: Lagun, Dmitry, Manzanares, Cecelia, Zola, Stuart M., Buffalo, Elizabeth A., Agichtein, Eugene
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 30.09.2011
• Subjects: Aged; Aged, 80 and over; Algorithms; Alzheimer Disease - diagnosis; Alzheimer Disease - physiopathology; Alzheimer's disease; Behavioral test; Cognition Disorders - diagnosis; Cognition Disorders - physiopathology; Cognitive Dysfunction - diagnosis; Cognitive Dysfunction - physiopathology; Eye movement; Eye Movements - physiology; Female; Humans; Male; Photic Stimulation - methods; Psychomotor Performance - physiology; Recognition memory; Recognition memory; Behavioral test; Eye movement; Alzheimer's disease

► A novel application of automatic classification methods from computer science to improve the accuracy of detecting Mild Cognitive Impairment during the Visual Paired Comparison task. ► An effective representation of eye movement characteristics such as fixations, saccades, and re-fixations as feat...