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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10605395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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