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Content–based fMRI Brain Maps Retrieval

Garcia Seco De Herrera, Alba and Long, L Rodney and Antani, Sameer (2016) Content–based fMRI Brain Maps Retrieval. In: Brain Informatics and Health International Conference, BIH 2016, 2016-10-13 - 2016-10-16, Omaha, NE, USA. (In Press)

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Brain Informatics and Health International Conference, BIH 2016, Omaha, NE, USA, October 13-16, 2016 Proceedings. Part of the Lecture Notes in Computer Science book series (LNCS, volume 9919) - Notes: keywords: brain activation map, fMRI retrieval, PICA
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 22 Jan 2020 21:28
Last Modified: 22 Jan 2020 22:15

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