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Computational models of eye movements and their application to schizophrenia


Heinzle, Jakob; Aponte, Eduardo A; Stephan, Klaas E (2016). Computational models of eye movements and their application to schizophrenia. Current Opinion in Behavioral Sciences, 11:21-29.

Abstract

Patients with neuropsychiatric disorders, in particular schizophrenia, show a variety of eye movement abnormalities that putatively reflect alterations of perceptual inference, learning and cognitive control. While these abnormalities are consistently found at the group level, a particularly difficult and important challenge is to translate these findings into clinically useful tests for single patients. In this paper, we argue that generative models of eye movement data, which allow for inferring individual computational and physiological mechanisms, could contribute to filling this gap. We present a selective overview of eye movement paradigms with clinical relevance for schizophrenia and review existing computational approaches that rest on (or could be turned into) generative models. We conclude by outlining desirable clinical applications at the individual subject level and discuss the necessary validation studies.

Abstract

Patients with neuropsychiatric disorders, in particular schizophrenia, show a variety of eye movement abnormalities that putatively reflect alterations of perceptual inference, learning and cognitive control. While these abnormalities are consistently found at the group level, a particularly difficult and important challenge is to translate these findings into clinically useful tests for single patients. In this paper, we argue that generative models of eye movement data, which allow for inferring individual computational and physiological mechanisms, could contribute to filling this gap. We present a selective overview of eye movement paradigms with clinical relevance for schizophrenia and review existing computational approaches that rest on (or could be turned into) generative models. We conclude by outlining desirable clinical applications at the individual subject level and discuss the necessary validation studies.

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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Language:English
Date:2016
Deposited On:29 Apr 2016 16:08
Last Modified:08 Dec 2017 19:25
Publisher:Elsevier BV
ISSN:2352-1554
Publisher DOI:https://doi.org/10.1016/j.cobeha.2016.03.008
Official URL:http://www.sciencedirect.com/science/article/pii/S2352154616300754

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