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Journal article

Ranking of communities in multiplex spatiotemporal models of brain dynamics 

Abstract:

As a relatively new field, network neuroscience has tended to focus on aggregate behaviours of the brain averaged over many successive experiments or over long recordings in order to construct robust brain models. These models are limited in their ability to explain dynamic state changes in the brain which occurs spontaneously as a result of normal brain function. Hidden Markov Models (HMMs) trained on neuroimaging time series data have since arisen as a method to produce dynamical models tha...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s41109-022-00454-2

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
ORCID:
0000-0003-1388-2252
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
ORCID:
0000-0002-0363-9470
Publisher:
Springer Publisher's website
Journal:
Applied Network Science Journal website
Volume:
7
Article number:
15
Publication date:
2022-03-14
Acceptance date:
2022-03-02
DOI:
EISSN:
2364-8228
Language:
English
Keywords:
Pubs id:
1242820
Local pid:
pubs:1242820
Deposit date:
2022-03-09

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