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 | |
| Added by: | [] |
| Total mark: | 0 |
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