Identifying functional co‐activation patterns in neuroimaging studies via poisson graphical models

DOI10.1111/biom.12216zbMath1393.62109OpenAlexW2103410840WikidataQ34771629 ScholiaQ34771629MaRDI QIDQ3465358

Jian Guo, Wenqiong Xue, Jian Kang, F. DuBois Bowman, Tor D. Wager

Publication date: 21 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4276452

zbMATH Keywords

EM algorithmemotionPoisson graphical modelfunctional brain networksfunctional co-activation pattern identification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Image analysis in multivariate analysis (62H35)

Related Items (2)

Nonparametric Bayesian learning of heterogeneous dynamic transcription factor networks ⋮ The coordinate-based meta-analysis of neuroimaging data

Cites Work

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• Analyzing complex functional brain networks: fusing statistics and network science to understand the brain
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• On recurrence relations for the probability function of multivariate generalized poisson distribution
• An EM algorithm for multivariate Poisson distribution and related models
• Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes
• Collective dynamics of ‘small-world’ networks

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