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Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology

Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the “emotional perception of eye movement” c...

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Autores principales: Tao, Zhanbo, Sun, Ningxia, Yuan, Zhen, Chen, Zeyuan, Liu, Jiakang, Wang, Chen, Li, Shuwu, Ma, Xiaowen, Ji, Bin, Li, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605395/
https://www.ncbi.nlm.nih.gov/pubmed/37891784
http://dx.doi.org/10.3390/brainsci13101415
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author Tao, Zhanbo
Sun, Ningxia
Yuan, Zhen
Chen, Zeyuan
Liu, Jiakang
Wang, Chen
Li, Shuwu
Ma, Xiaowen
Ji, Bin
Li, Kai
author_facet Tao, Zhanbo
Sun, Ningxia
Yuan, Zhen
Chen, Zeyuan
Liu, Jiakang
Wang, Chen
Li, Shuwu
Ma, Xiaowen
Ji, Bin
Li, Kai
author_sort Tao, Zhanbo
collection PubMed
description Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the “emotional perception of eye movement” could characterize defects in emotional perception, recognition, processing, and regulation in young people at high risk for depression. Based on this hypothesis, we designed the “eye movement emotional perception evaluation paradigm” and extracted digital biomarkers that could objectively and accurately evaluate “facial feature perception” and “facial emotional perception” characteristics of young people at high risk of depression. Using stepwise regression analysis, we identified seven digital biomarkers that could characterize emotional perception, recognition, processing, and regulation deficiencies in young people at high risk for depression. The combined effectiveness of an early warning can reach 0.974. Our proposed technique for rapid screening has significant advantages, including high speed, high early warning efficiency, low cost, and high intelligence. This new method provides a new approach to help effectively screen high-risk individuals for depression.
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spelling pubmed-106053952023-10-28 Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology Tao, Zhanbo Sun, Ningxia Yuan, Zhen Chen, Zeyuan Liu, Jiakang Wang, Chen Li, Shuwu Ma, Xiaowen Ji, Bin Li, Kai Brain Sci Article Depression is a prevalent mental disorder, with young people being particularly vulnerable to it. Therefore, we propose a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology. We hypothesized that the “emotional perception of eye movement” could characterize defects in emotional perception, recognition, processing, and regulation in young people at high risk for depression. Based on this hypothesis, we designed the “eye movement emotional perception evaluation paradigm” and extracted digital biomarkers that could objectively and accurately evaluate “facial feature perception” and “facial emotional perception” characteristics of young people at high risk of depression. Using stepwise regression analysis, we identified seven digital biomarkers that could characterize emotional perception, recognition, processing, and regulation deficiencies in young people at high risk for depression. The combined effectiveness of an early warning can reach 0.974. Our proposed technique for rapid screening has significant advantages, including high speed, high early warning efficiency, low cost, and high intelligence. This new method provides a new approach to help effectively screen high-risk individuals for depression. MDPI 2023-10-05 /pmc/articles/PMC10605395/ /pubmed/37891784 http://dx.doi.org/10.3390/brainsci13101415 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tao, Zhanbo
Sun, Ningxia
Yuan, Zhen
Chen, Zeyuan
Liu, Jiakang
Wang, Chen
Li, Shuwu
Ma, Xiaowen
Ji, Bin
Li, Kai
Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title_full Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title_fullStr Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title_full_unstemmed Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title_short Research on a New Intelligent and Rapid Screening Method for Depression Risk in Young People Based on Eye Tracking Technology
title_sort research on a new intelligent and rapid screening method for depression risk in young people based on eye tracking technology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605395/
https://www.ncbi.nlm.nih.gov/pubmed/37891784
http://dx.doi.org/10.3390/brainsci13101415
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