title: Assessment of age-related changes in cognitive functions using EmoCogMeter, a novel tablet-computer based approach.
abstract: The main goal of this study was to assess the usability of a tablet-computer-based application (EmoCogMeter) in investigating the effects of age on cognitive functions across the lifespan in a sample of 378 healthy subjects (age range 18-89 years). Consistent with previous findings we found an age-related cognitive decline across a wide range of neuropsychological domains (memory, attention, executive functions), thereby proving the usability of our tablet-based application. Regardless of prior computer experience, subjects of all age groups were able to perform the tasks without instruction or feedback from an experimenter. Increased motivation and compliance proved to be beneficial for task performance, thereby potentially increasing the validity of the results. Our promising findings underline the great clinical and practical potential of a tablet-based application for detection and monitoring of cognitive dysfunction.
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Department of Psychiatry, Campus Benjamin Franklin, Charité Berlin.
authors.forename: Philipp
authors.initials: P
authors.lastname: Fuge
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Department of Psychiatry, Campus Benjamin Franklin, Charité Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin; Clinic for Affective Disorders and General Psychiatry, Psychiatric University Hospital Zurich.
authors.forename: Simone
authors.initials: S
authors.lastname: Grimm
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Department of Psychiatry, Campus Benjamin Franklin, Charité Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin.
authors.forename: Anne
authors.initials: A
authors.lastname: Weigand
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin.
authors.forename: Yan
authors.initials: Y
authors.lastname: Fan
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin.
authors.forename: Matti
authors.initials: M
authors.lastname: Gärtner
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin.
authors.forename: Melanie
authors.initials: M
authors.lastname: Feeser
authors.affiliation: Cluster of Excellence "Languages of Emotion", Freie Universität Berlin; Department of Psychiatry, Campus Benjamin Franklin, Charité Berlin; Dahlem Institute for Neuroimaging of Emotion, Freie Universität Berlin; malek.bajbouj@charite.de.
authors.forename: Malek
authors.initials: M
authors.lastname: Bajbouj
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D003072:Cognition Disorders / Q000175:diagnosis*; D034201:Computers, Handheld; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D055815:Young Adult