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

Mancini, Matteo, Giulietti, Giovanni, Spano, Barbara, Bozzali, Marco, Cercignani, Mara and Conforto, Silvia (2016) Estimating multimodal brain connectivity in multiple sclerosis: an exploratory factor analysis. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Disney’s Contemporary Resort at Walt Disney World® Resort Lake Buena Vista (Orlando), 16-20 August 2016. Published in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016 1131-1134. IEEE ISSN 1557-170X ISBN 9781457702198

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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 Proceedings
Keywords: Loading, Brain modeling, Magnetic resonance imaging, Multiple sclerosis, Data models, Magnetization, Mathematical model
Schools and Departments: Brighton and Sussex Medical School > Neuroscience
Subjects: R Medicine > RC Internal medicine > RC0321 Neurosciences. Biological psychiatry. Neuropsychiatry > RC0346 Neurology. Diseases of the nervous system Including speech disorders
Depositing User: Patricia Butler
Date Deposited: 06 Dec 2019 13:07
Last Modified: 12 Dec 2019 15:41
URI: http://sro.sussex.ac.uk/id/eprint/72352
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