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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)
Source PublicationBiological Psychiatry: Cognitive Neuroscience and Neuroimaging
2016
Volume1Issue:3Pages:230-244
AbstractIt 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.
KeywordBrain Data Function Connectivity Fusion Independent Component Analysis Psychosis ;
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20803
Collection脑网络组研究中心
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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