Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples
文献类型：期刊论文
| 作者 | Calhoun, Vince D.1; Pearlson, Godfrey D.2; Sui, Jing1,3,4
|
| 刊名 | CURRENT OPINION IN NEUROLOGY
 |
| 出版日期 | 2021-08-01 |
| 卷号 | 34期号:4页码:469-479 |
| ISSN号 | 1350-7540 |
| 关键词 | data driven data fusion dynamics multimodal neuroimaging biomarkers |
| DOI | 10.1097/WCO.0000000000000967 |
| 通讯作者 | Calhoun, Vince D.(vcalhoun@gsu.edu) |
| 英文摘要 | Purpose of review The 'holy grail' of clinical applications of neuroimaging to neurological and psychiatric disorders via personalized biomarkers has remained mostly elusive, despite considerable effort. However, there are many reasons to continue to be hopeful, as the field has made remarkable advances over the past few years, fueled by a variety of converging technical and data developments. Recent findings We discuss a number of advances that are accelerating the push for neuroimaging biomarkers including the advent of the 'neuroscience big data' era, biomarker data competitions, the development of more sophisticated algorithms including 'guided' data-driven approaches that facilitate automation of network-based analyses, dynamic connectivity, and deep learning. Another key advance includes multimodal data fusion approaches which can provide convergent and complementary evidence pointing to possible mechanisms as well as increase predictive accuracy. The search for clinically relevant neuroimaging biomarkers for neurological and psychiatric disorders is rapidly accelerating. Here, we highlight some of these aspects, provide recent examples from studies in our group, and link to other ongoing work in the field. It is critical that access and use of these advanced approaches becomes mainstream, this will help propel the community forward and facilitate the production of robust and replicable neuroimaging biomarkers. |
| WOS关键词 | DYNAMIC FUNCTIONAL CONNECTIVITY ; HUMAN CONNECTOME PROJECT ; MULTIMODAL FUSION ; PATTERNS ; ICA ; CLASSIFICATION ; PREDICTION ; COGNITION ; SUBJECT |
| 资助项目 | National Institutes of Health[R01EB006841] ; National Institutes of Health[R01MH118695] ; National Institutes of Health[R01MH117107] ; National Institutes of Health[RF1AG063153] |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| 出版者 | LIPPINCOTT WILLIAMS & WILKINS |
| WOS记录号 | WOS:000670005200001 |
| 资助机构 | National Institutes of Health |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45261]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 通讯作者 | Calhoun, Vince D. |
| 作者单位 | 1.Emory Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia State Univ, Georgia Inst Technol, Atlanta, GA 30322 USA 2.Yale Sch Med, Dept Psychiat & Neurosci, New Haven, CT USA 3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Calhoun, Vince D.,Pearlson, Godfrey D.,Sui, Jing. Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples[J]. CURRENT OPINION IN NEUROLOGY,2021,34(4):469-479. |
| APA | Calhoun, Vince D.,Pearlson, Godfrey D.,&Sui, Jing.(2021).Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples.CURRENT OPINION IN NEUROLOGY,34(4),469-479. |
| MLA | Calhoun, Vince D.,et al."Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples".CURRENT OPINION IN NEUROLOGY 34.4(2021):469-479. |
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