Abstract #5221

Decomposition of brain structural connectivity using Independent component analysis

Farzaneh Keyvanfard^1,2, Abbas Nasiraei Moghaddam^1,3, 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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