Knowledge Commons of Institute of Automation,CAS
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises | |
Sui, Jing1,2,3,4; Jiang, Rongtao1,2,3; Bustillo, Juan5; Calhoun, Vince D.6 | |
发表期刊 | BIOLOGICAL PSYCHIATRY |
ISSN | 0006-3223 |
2020 | |
期号 | NA页码:1-11 |
摘要 | The neuroimaging community has witnessed a paradigm shift in biomarker discovery from using traditional univariate brain mapping approaches to multivariate predictive models, allowing the field to move toward a translational neuroscience era. Regression-based multivariate models (hereafter “predictive modeling”) provide a powerful and widely used approach to predict human behavior with neuroimaging features. These studies maintain a focus on decoding individual differences in a continuously behavioral phenotype from neuroimaging data, opening up an exciting opportunity to describe the human brain at the single-subject level. In this survey, we provide an overview of recent studies that utilize machine learning approaches to identify neuroimaging predictors over the past decade. We first review regression-based approaches and highlight connectome-based predictive modeling, which has grown in popularity in recent years. Next, we systematically describe recent representative studies using these tools in the context of cognitive function, symptom severity, personality traits, and emotion processing. Finally, we highlight a few challenges related to combining multimodal data, longitudinal prediction, external validations, and the employment of deep learning methods that have emerged from our review of the existing literature, as well as present some promising and challenging future directions. |
关键词 | Biomarker Cognition Individualized prediction Mental disorder Multivariate analyses Regression |
DOI | 0.1016/j.biopsych.2020.02.016 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000587341900006 |
七大方向——子方向分类 | 脑网络分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39278 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Sui, Jing; Calhoun, Vince D. |
作者单位 | 1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Automat, Ctr Excellence Brain Sci, Beijing, Peoples R China 5.Univ New Mexico, Dept Psychiat, Albuquerque, NM 87131 USA 6.Emory Univ, Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA 30303 USA |
第一作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
通讯作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Sui, Jing,Jiang, Rongtao,Bustillo, Juan,et al. Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises[J]. BIOLOGICAL PSYCHIATRY,2020(NA):1-11. |
APA | Sui, Jing,Jiang, Rongtao,Bustillo, Juan,&Calhoun, Vince D..(2020).Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.BIOLOGICAL PSYCHIATRY(NA),1-11. |
MLA | Sui, Jing,et al."Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises".BIOLOGICAL PSYCHIATRY .NA(2020):1-11. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Neuroimaging-based I(2461KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论