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Multimodal Neuroimaging Computing: A Review of the Applications in Neuropsychiatric Disorders

Institution:
1School of IT, The University of Sydney, Sydney, Australia.
2Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
3Department of PET and Nuclear Medicine, Royal Prince Alfred Hospital, and the Sydney Medical School, The University of Sydney, Sydney, Australia.
4Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
Publisher:
Springer
Publication Date:
Sep-2015
Volume Number:
2
Pages:
167-80
Citation:
Brain Informatics. 2015 Sep; 2:167-80.
PubMed ID:
26870629
PMCID:
PMC4737664
Keywords:
Multimodal, Neuroimaging, Neuropsychiatric
Appears in Collections:
NAC, NA-MIC, SLICER, SPL
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Liu S., Cai W., Liu S., Zhang F., Fulham M., Feng D., Pujol S., Kikinis R. Multimodal Neuroimaging Computing: A Review of the Applications in Neuropsychiatric Disorders. Brain Informatics. 2015 Sep; 2:167-80. PMID: 26870629. PMCID: PMC4737664.
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Multimodal 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.

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