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Abstract #5221

Decomposition of brain structural connectivity using Independent component analysis

Farzaneh Keyvanfard1,2, Abbas Nasiraei Moghaddam1,3, Alessandra Griffa2, and Patric Hagmann2

1Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (Islamic Republic of), 2Department of Radiology, University Hospital Center and University of Lausanne, Lausanne, Switzerland, 3School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran (Islamic Republic of)

Diffusion imaging provides the capability of investigating brain white matter non-invasively. There is an increasing interest in studying whole brain structural connectivity (SC) as a complex network, but examining multiple structural sub-networks has yet to be investigated. In this study we have proposed a specific pipeline to decompose whole brain structural connectivity into different sub-networks using Independent Component Analysis (ICA). Obtaining two structural gender related sub-networks in line with previous findings confirms the feasibility of the approach.

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