Detecting state changes in community structure of functional brain networks using a Markov-switching stochastic block model

S. Balqis Samdin, Chee Ming Ting, Hernando Ombao

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

Functional brain networks exhibit modular community structure with highly inter-connected nodes within a same module, but sparsely connected between different modules. Recent neuroimaging studies also suggest dynamic changes in brain connectivity over time. We propose a dynamic stochastic block model (SBM) to characterize changes in community structure of the brain networks inferred from neuroimaging data. We develop a Markov-switching SBM (MS-SBM) which is a non-stationary extension combining time-varying SBMs with a Markov process to allow for state-driven evolution of the network community structure. The time-varying connectivity parameters within and between communities are estimated from dynamic networks based on sliding-window approach, assuming a constant community membership of nodes recovered by using spectral clustering. We then partition the time-evolving community structure into recurring, piecewise constant regimes or states using a hidden Markov model. Simulation shows that the proposed MS-SBM gives accurate tracking of dynamic community regimes. Application to a task-evoked fMRI data reveals dynamic reconfiguration of the brain network modular structure in language processing between alternating blocks of story and math tasks.

Original languageEnglish
Title of host publication2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) - Proceedings
EditorsMaría J. Ledesma Carbayo, Miguel Ángel González Ballester
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1483-1487
Number of pages5
ISBN (Electronic)9781538636411
ISBN (Print)9781538636428
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventIEEE International Symposium on Biomedical Imaging (ISBI) 2019 - Hilton Molino Stucky, Venice, Italy
Duration: 8 Apr 201911 Apr 2019
Conference number: 16th
https://ieeexplore.ieee.org/xpl/conhome/8754684/proceeding (Proceedings)

Publication series

NameProceedings - International Symposium on Biomedical Imaging
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

ConferenceIEEE International Symposium on Biomedical Imaging (ISBI) 2019
Abbreviated titleISBI 2019
Country/TerritoryItaly
CityVenice
Period8/04/1911/04/19
Internet address

Keywords

  • Community detection
  • Dynamic brain connectivity
  • FMRI
  • Spectral clustering
  • Stochastic block model

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