TY  - CHAP
ID  - GLA2016
T1  - Content–based fMRI Brain Maps Retrieval
A1  - García Seco de Herrera, Alba
A1  - Long, L. Rodney
A1  - Antani, Sameer
TI  - International Conference on Brain Informatics & Health (BIH)
Y1  - 2016
PB  - Springer LNCS/LNAI
KW  - brain activation map
KW  - fMRI retrieval
KW  - PICA
N2  - 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.
ER  -