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

conference contribution
posted on 2023-06-09, 09:29 authored by Matteo Mancini, Giovanni Giulietti, Barbara Spano, Marco Bozzali, Mara Cercignani, Silvia Conforto
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.

History

Publication status

  • Published

Journal

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ISSN

1557-170X

Publisher

IEEE

Volume

2016

Page range

1131-1134

Event name

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Event location

Disney’s Contemporary Resort at Walt Disney World® Resort Lake Buena Vista (Orlando)

Event type

conference

Event date

16-20 August 2016

ISBN

9781457702198

Department affiliated with

  • BSMS Neuroscience Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-12-06

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