Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness

	Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness
	Calhoun, V. D.; Sui, Jing(隋婧)
发表期刊	Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
	2016
卷号	1 期号:3 页码:230-244
摘要	It is becoming increasingly clear that combining multi-modal；brain；imaging；data；is able；to；provide more information for individual subjects by exploiting；the；rich；multimodal；information that exists. However,；the；number；of；studies that do true；multimodal；fusion；(i.e. capitalizing on joint information among modalities) is still remarkably small given；the；known benefits.；In；part, this is because multi-modal studies require broader expertise；in；collecting, analyzing, and interpreting；the；results than do unimodal studies.；In；this paper, we start by introducing；the；basic reasons why；multimodal；data；fusion；is important and what it can do, and importantly how it can help us avoid wrong conclusions and help compensate for imperfect；brain；imaging；studies. We also discuss；the；challenges that need；to；be confronted for such approaches；to；be more widely applied by；the；community. We then provide；areview；of；the；diverse studies that have used；multimodal；data；fusion；(primarily focused on psychosis) as well as provide an introduction；to；some；of；the；existing analytic approaches. Finally, we discuss some up-and-coming approaches；to；multi-modal；fusion；including deep learning and；multimodalclassification which show considerable promise. Our conclusion is that；multimodal；data；fusion；is rapidly growing, but it is still underutilized.；The；complexity；of；the；human；brain；coupled with；theincomplete measurement provided by existing；imaging；technology makes；multimodal；fusion；essential；in；order；to；mitigate against misdirection and hopefully provide；a；key；to；finding；the；missing；link(s)；incomplex；mental；illness.
关键词	Brain Data Function Connectivity Fusion Independent Component Analysis Psychosis ;
收录类别	SCI
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20803
专题	脑图谱与类脑智能实验室_脑网络组研究
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Calhoun, V. D.,Sui, Jing. Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness[J]. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging,2016,1(3):230-244.
APA	Calhoun, V. D.,&Sui, Jing.(2016).Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.Biological Psychiatry: Cognitive Neuroscience and Neuroimaging,1(3),230-244.
MLA	Calhoun, V. D.,et al."Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness".Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1.3(2016):230-244.