Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders

Sidong Liu*, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

48 Citations (Scopus)
4 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)167-180
Number of pages14
JournalBrain Informatics
Volume2
Issue number3
DOIs
Publication statusPublished - 1 Sep 2015
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2015. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Multimodal
  • Neuroimaging
  • Neuropsychiatric

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