Estimating multimodal brain connectivity in multiple sclerosis: an exploratory factor analysis.

Mancini, Matteo, Giulietti, Giovanni, Spanò, Barbara, Bozzali, Marco, Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456 and Conforto, Silvia 2016. Estimating multimodal brain connectivity in multiple sclerosis: an exploratory factor analysis. Presented at: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 16-20 August 2016. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 1131-134. 10.1109/embc.2016.7590903

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Abstract

Graph-theoretical approaches have become a popular way to model brain data collected using magnetic resonance imaging (MRI), both from the structural and the functional perspectives. In structural networks, tract-based mapping allows to model different aspects of brain structures by means of the specific characteristics of the different MRI modalities. However, there has been little effort to join the information carried by each modality and to understand what level of common variance is shown in these data. In this paper, we proposed a combined approach based on graph theory and factor analysis to model magnetization transfer and microstructural properties in 18 relapsing remitting multiple sclerosis (RRMS) patients and 17 healthy controls. After defining the common factors and outlining their relationships with MRI data, we evaluated between-group differences using global and local graph measures. The results showed that one common factor describes brain structures in terms of myelin and global integrity, and such factor is able to highlight specific between-group differences.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	IEEE
ISBN:	9781457702204
ISSN:	1558-4615
Last Modified:	09 Nov 2022 10:27
URI:	https://orca.cardiff.ac.uk/id/eprint/139544

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