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Content–based fMRI Brain Maps Retrieval
Type of publication: Incollection
Citation: GLA2016
Booktitle: International Conference on Brain Informatics & Health (BIH)
Year: 2016
Publisher: Springer LNCS/LNAI
Abstract: The statistical analysis of functional magnetic resonance imaging (fMRI) is used to extract functional data of cerebral activation during a given experimental task. It allows for assessing changes in cerebral function related to cerebral activities. This methodology has been widely used and a few initiatives aim to develop shared data resources. Searching these data resources for a specific research goal remains a challenging problem. In particular, work is needed to create a global content–based (CB) fMRI retrieval capability. This work presents a CB fMRI retrieval approach based on the brain activation maps extracted using Probabilistic Independent Component Analysis (PICA). We obtained promising results on data from a variety of experiments which highlight the potential of the system as a tool that provides support for finding hidden similarities between brain activation maps.
Keywords: brain activation map, fMRI retrieval, PICA
Authors García Seco de Herrera, Alba
Long, L. Rodney
Antani, Sameer
Added by: []
Total mark: 0
Attachments
  • BIH2016.pdf
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