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Network models in neuroimaging - a survey of multimodal applications.pdf (518.8 kB)

Network models in neuroimaging: a survey of multimodal applications

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journal contribution
posted on 2023-06-09, 16:34 authored by Matteo Mancini, Mara Cercignani
Mapping 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.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Fundamenta Informaticae

ISSN

0169-2968

Publisher

IOS Press

Issue

1

Volume

163

Page range

63-91

Department affiliated with

  • BSMS Neuroscience Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2019-05-09

First Open Access (FOA) Date

2023-05-25

First Compliant Deposit (FCD) Date

2023-05-25

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