Alexandra Wolf1,2, Kazuo Ueda2, Yoji Hirano3. 1. International Research Fellow of Japan Society for the Promotion of Science. 2. Department of Human Science, Research Center for Applied Perceptual Science, Kyushu University, Fukuoka, Japan. 3. Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Abstract
AIM: Although eye-tracking technology expands beyond capturing eye-data just for the sole purpose of ensuring participants maintaining their gaze at the presented fixation cross, gaze technology remains on the backseat in clinical research. Recently, impairments in visual information encoding processes indexed by novel gaze metrics are frequently reported in patients with schizophrenia. This work undertakes a scoping review of research on saccadic dysfunctions and exploratory eye movement deficits among patients with schizophrenia. It gathers promising pieces of evidence of eye-movement abnormalities in attention-demanding tasks in the schizophrenia spectrum that have mounted in recent years and their outcomes as potential biological markers. METHODS: The protocol was drafted based on PRISMA for scoping review guidelines. Electronic databases were systematically searched to identify articles published between 2010 and 2020 that examined visual processing in patients with schizophrenia and reported eye-movement characteristics as potential biomarkers for this mental illness. RESULTS: The use of modern eye-tracking instrumentation has been reported by numerous neuroscientific studies to successfully and non-invasively improve the detection of visual information processing impairments among the screened population at risk of and identified with schizophrenia. CONCLUSIONS: Eye-tracking technology has the potential to contribute to the process of early intervention and more apparent separation of the diagnostic entities, being put together by the syndrome-based approach to the diagnosis of schizophrenia. However, context-processing paradigms should be conducted and reported in equally accessible publications to build comprehensive models. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
AIM: Although eye-tracking technology expands beyond capturing eye-data just for the sole purpose of ensuring participants maintaining their gaze at the presented fixation cross, gaze technology remains on the backseat in clinical research. Recently, impairments in visual information encoding processes indexed by novel gaze metrics are frequently reported in patients with schizophrenia. This work undertakes a scoping review of research on saccadic dysfunctions and exploratory eye movement deficits among patients with schizophrenia. It gathers promising pieces of evidence of eye-movement abnormalities in attention-demanding tasks in the schizophrenia spectrum that have mounted in recent years and their outcomes as potential biological markers. METHODS: The protocol was drafted based on PRISMA for scoping review guidelines. Electronic databases were systematically searched to identify articles published between 2010 and 2020 that examined visual processing in patients with schizophrenia and reported eye-movement characteristics as potential biomarkers for this mental illness. RESULTS: The use of modern eye-tracking instrumentation has been reported by numerous neuroscientific studies to successfully and non-invasively improve the detection of visual information processing impairments among the screened population at risk of and identified with schizophrenia. CONCLUSIONS: Eye-tracking technology has the potential to contribute to the process of early intervention and more apparent separation of the diagnostic entities, being put together by the syndrome-based approach to the diagnosis of schizophrenia. However, context-processing paradigms should be conducted and reported in equally accessible publications to build comprehensive models. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Authors: Sherry Kit Wa Chan; Janet Hsiao; Audrey On Yui Wong; Yingqi Liao; Yinam Suen; Eric Wai Ching Yan; Lap-Tak Poon; Man Wah Siu; Christy Lai Ming Hui; Wing Chung Chang; Edwin Ho Ming Lee; Eric Yu Hai Chen Journal: Eur Arch Psychiatry Clin Neurosci Date: 2022-01-25 Impact factor: 5.760
Authors: David St Clair; Graeme MacLennan; Sara A Beedie; Eva Nouzová; Helen Lemmon; Dan Rujescu; Philip J Benson; Andrew McIntosh; Mintu Nath Journal: Schizophr Bull Open Date: 2022-05-20