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Computer Vision for Brain Disorders Based Primarily on Ocular Responses

文献类型：期刊论文

作者Li, Xiaotao9,10,11,12,13; Fan, Fangfang8; Chen, Xuejing7; Li, Juan9,10,12,13; Ning, Li6; Lin, Kangguang4,5; Chen, Zan12,13; Qin, Zhenyun3; Yeung, Albert S.2; Li, Xiaojian12,13
刊名FRONTIERS IN NEUROLOGY
出版日期2021-04-21
卷号12页码:9
关键词ocular assessment retina computer vision cognitive neuroscience brain disorders eye-brain engineering
ISSN号1664-2295
DOI10.3389/fneur.2021.584270
英文摘要Real-time ocular responses are tightly associated with emotional and cognitive processing within the central nervous system. Patterns seen in saccades, pupillary responses, and spontaneous blinking, as well as retinal microvasculature and morphology visualized via office-based ophthalmic imaging, are potential biomarkers for the screening and evaluation of cognitive and psychiatric disorders. In this review, we outline multiple techniques in which ocular assessments may serve as a non-invasive approach for the early detections of various brain disorders, such as autism spectrum disorder (ASD), Alzheimer's disease (AD), schizophrenia (SZ), and major depressive disorder (MDD). In addition, rapid advances in artificial intelligence (AI) present a growing opportunity to use machine learning-based AI, especially computer vision (CV) with deep-learning neural networks, to shed new light on the field of cognitive neuroscience, which is most likely to lead to novel evaluations and interventions for brain disorders. Hence, we highlight the potential of using AI to evaluate brain disorders based primarily on ocular features.
资助项目Key-Area Research and Development Program of Guangdong Province[2018B030331001] ; International Postdoctoral Exchange Fellowship Program by the Office of China Postdoctoral Council[20160021] ; International Partnership Program of Chinese Academy of Sciences[172644KYS820170004] ; Commission on Innovation and Technology in Shenzhen Municipality of China[JCYJ20150630114942262] ; Hong Kong, Macao, and Taiwan Science and Technology Cooperation Innovation Platform in Universities in Guangdong Province[2013gjhz0002] ; National Key R&D Program of China[2017YFC1310503]
WOS研究方向Neurosciences & Neurology
语种英语
WOS记录号WOS:000646851700001
出版者FRONTIERS MEDIA SA
源URL[http://119.78.100.204/handle/2XEOYT63/17824]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Xiaotao; So, Kwok-Fai
作者单位1.Univ Hong Kong, State Key Lab Brain & Cognit Sci, Dept Ophthalmol, Pok Fu Lam, Hong Kong, Peoples R China
2.Massachusetts Gen Hosp, Dept Psychiat, Depress Clin & Res Program, Boston, MA 02114 USA
3.Fudan Univ, Sch Math Sci, Key Lab Nonlinear Math Models & Methods, Shanghai, Peoples R China
4.Jinan Univ, Guangdong Hong Kong Macau Inst Cent Nervous Syst, Guangzhou, Peoples R China
5.Guangzhou Med Univ, Dept Affect Disorders & Academician Workstn Mood, Affiliated Brain Hosp, Guangzhou Huiai Hosp, Guangzhou, Peoples R China
6.Chinese Acad Sci, Ctr High Performance Comp, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
7.Boston Univ, Dept Ophthalmol, Retina Div, Eye Associates, Boston, MA USA
8.Harvard Univ, Dept Neurol, Harvard Med Sch, Boston, MA USA
9.BIAI Intelligence Biotech LLC, Shenzhen, Peoples R China
10.BIAI INC, Chelmsford, MA 01824 USA
推荐引用方式
GB/T 7714		 Li, Xiaotao,Fan, Fangfang,Chen, Xuejing,et al. Computer Vision for Brain Disorders Based Primarily on Ocular Responses[J]. FRONTIERS IN NEUROLOGY,2021,12:9.
APA Li, Xiaotao.,Fan, Fangfang.,Chen, Xuejing.,Li, Juan.,Ning, Li.,...&So, Kwok-Fai.(2021).Computer Vision for Brain Disorders Based Primarily on Ocular Responses.FRONTIERS IN NEUROLOGY,12,9.
MLA Li, Xiaotao,et al."Computer Vision for Brain Disorders Based Primarily on Ocular Responses".FRONTIERS IN NEUROLOGY 12(2021):9.

入库方式： OAI收割

来源：计算技术研究所

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