Network models in neuroimaging - a survey of multimodal applications.pdf (518.8 kB)
Network models in neuroimaging: a survey of multimodal applications
journal contribution
posted on 2023-06-09, 16:34 authored by Matteo Mancini, Mara CercignaniMapping the brain structure and function is one of the hardest problems in science. Different image modalities, in particular the ones based on magnetic resonance imaging (MRI) can shed more light on how it is organised and how its functions unfold, but a theoretical framework is needed. In the last years, using network models and graph theory to represent the brain structure and function has become a major trend in neuroscience. In this review, we outline how network modelling has been used in neuroimaging, clarifying what are the underlying mathematical concepts and the consequent methodological choices. The major findings are then presented for structural, functional and multimodal applications. We conclude outlining what are still the current issues and the perspective for the immediate future.
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Publication status
- Published
File Version
- Accepted version
Journal
Fundamenta InformaticaeISSN
0169-2968Publisher
IOS PressExternal DOI
Issue
1Volume
163Page range
63-91Department affiliated with
- BSMS Neuroscience Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2019-05-09First Open Access (FOA) Date
2023-05-25First Compliant Deposit (FCD) Date
2023-05-25Usage metrics
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