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Search for Gender Difference in Functional Connectivity of Resting State fMRI
| Author(s): | Dmitry Kovalev, Sergey Priimenko, Natalya Ponomareva |
| Created: | 2017/12/05 |
| Published: | Data Analytics and Management in Data Intensive Domains. Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017). CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 2022. P. 150-156. |
| Abstract: | |
| During past several year huge sets of fMRI data were obtained within Human Connectome
Project. Despite this, technologies for scalable analysis of large amounts of data are rarely used to analyze
whole data set. Authors conducted virtual experiment on a large sample of data taken from the HCP to find
the gender differences in functional connectivity. A review of methods for search for the functional
connectivity is fulfilled. Further analysis of distributed use and scalability on large datasets of rfMRI data is
provided with the discussion of existing libraries and suggestions of how to integrate them with a distributed
system. As a result, the distributed architecture of the software based on the Apache Spark framework is
developed. Being fairly complex, it includes ontology, conceptual schema and workflow. The results of this
experiment may be of interest to neurophysiologists for further analysis. |
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