VisMET: A Passive, Efficient, and Sensitive Assessment of Visuospatial Memory in Healthy Aging, Mild Cognitive Impairment, and Alzheimer's Disease

Autor/inn/en	Haque, Rafi U.; Manzanares, Cecelia M.; Brown, Lavonda N.; Pongos, Alvince L.; Lah, James J.; Clifford, Gari D.; Levey, Allan I.
Titel	VisMET: A Passive, Efficient, and Sensitive Assessment of Visuospatial Memory in Healthy Aging, Mild Cognitive Impairment, and Alzheimer's Disease
Quelle	In: Learning & Memory, 26 (2019) 3, S.93-100 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1072-0502
DOI	10.1101/lm.048124.118
Schlagwörter	Alzheimers Disease; Memory; Visual Perception; Spatial Ability; Eye Movements; Task Analysis; Brain Hemisphere Functions; Neurological Impairments; Decision Making; Prediction; Aging (Individuals); Comparative Analysis; Screening Tests + Suchen Sie Ihr Suchwort? Gedächtnis; Visuelle Wahrnehmung; Räumliches Vorstellungsvermögen; Augenbewegung; Aufgabenanalyse; Neurodegenerative Erkrankung; Decision-making; Entscheidungsfindung; Vorhersage; Aging; Altern; Screening-Verfahren
Abstract	The entorhinal-hippocampal circuit is one of the earliest sites of cortical pathology in Alzheimer's disease (AD). Visuospatial memory paradigms that are mediated by the entorhinal-hippocampal circuit may offer a means to detect memory impairment during the early stages of AD. In this study, we developed a 4-min visuospatial memory paradigm called VisMET (Visuospatial Memory Eye-Tracking Task) that passively assesses memory using eye movements rather than explicit memory judgements. We had 296 control or memory-impaired participants view a set of images followed by a modified version of the images with either an object removed, or a new object added. Healthy controls spent significantly more time viewing these manipulations compared to subjects with mild cognitive impairment and AD. Using a logistic regression model, the amount of time that individuals viewed these manipulations could predict cognitive impairment and disease status with an out of sample area under the receiver-operator characteristic curve of 0.85. Based on these results, VisMET offers a passive, sensitive, and efficient memory paradigm capable of detecting objective memory impairment and predicting cognitive and disease status. (As Provided).
Anmerkungen	Cold Spring Harbor Laboratory Press. 500 Sunnyside Boulevard, Woodbury, NY 11797-2924. Tel: 800-843-4388; Tel: 516-367-8800; Fax: 516-422-4097; e-mail: cshpres@cshl.edu; Web site: http://learnmem.cshlp.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01