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dc.contributor.authorLiu, Sidong
dc.contributor.authorCai, Weidong
dc.contributor.authorLiu, Siqi
dc.contributor.authorZhang, Fan
dc.contributor.authorFulham, Michael
dc.contributor.authorFeng, Dagan
dc.contributor.authorPujol, Sonia
dc.contributor.authorKikinis, Ron
dc.date.accessioned2019-06-11
dc.date.available2019-06-11
dc.date.issued2015-08-29
dc.identifier.citationLiu, S., Cai, W., Liu, S. et al. Brain Inf. (2015) 2: 167. https://doi.org/10.1007/s40708-015-0019-xen_AU
dc.identifier.issn2198-4018
dc.identifier.urihttp://hdl.handle.net/2123/20520
dc.description.abstractMultimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provision of vital diagnostic data for neuropsychiatric disorders. Multimodal neuroimaging computing enables the visualization and quantitative analysis of the alterations in brain structure and function, and has reshaped how neuroscience research is carried out. Research in this area is growing exponentially, and so it is an appropriate time to review the current and future development of this emerging area. Hence, in this paper, we review the recent advances in multimodal neuroimaging (MRI, PET) and electrophysiological (EEG, MEG) technologies, and their applications to the neuropsychiatric disorders. We also outline some future directions for multimodal neuroimaging where researchers will design more advanced methods and models for neuropsychiatric research.en_AU
dc.publisherSpringer Openen_AU
dc.relationARC DP140100211
dc.relationARC DP140100211
dc.rights"© Liu, Cai, Liu, Zhang, Fulham, Feng, Pujol, Kikinis 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made."en_AU
dc.subjectMultimodal, Neuroimaging, Neuropsychiatricen_AU
dc.titleMultimodal neuroimaging computing: a review of the applications in neuropsychiatric disordersen_AU
dc.typeArticleen_AU
dc.identifier.doihttps://doi.org/10.1007/s40708-015-0019-x
dc.type.pubtypePublisher's versionen_AU


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