Detecting cognitive impairment by eye movement analysis using automatic classification algorithms

► 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...

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Bibliographic Details
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
ISSN:	0165-0270, 1872-678X, 1872-678X
Online Access:	Get full text
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