Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data

Biometrics
Silvia MontagnaThomas E Nichols

Abstract

Now over 20 years old, functional MRI (fMRI) has a large and growing literature that is best synthesised with meta-analytic tools. As most authors do not share image data, only the peak activation coordinates (foci) reported in the article are available for Coordinate-Based Meta-Analysis (CBMA). Neuroimaging meta-analysis is used to (i) identify areas of consistent activation; and (ii) build a predictive model of task type or cognitive process for new studies (reverse inference). To simultaneously address these aims, we propose a Bayesian point process hierarchical model for CBMA. We model the foci from each study as a doubly stochastic Poisson process, where the study-specific log intensity function is characterized as a linear combination of a high-dimensional basis set. A sparse representation of the intensities is guaranteed through latent factor modeling of the basis coefficients. Within our framework, it is also possible to account for the effect of study-level covariates (meta-regression), significantly expanding the capabilities of the current neuroimaging meta-analysis methods available. We apply our methodology to synthetic data and neuroimaging meta-analysis datasets.

References

Dec 18, 2001·Human Brain Mapping·Thomas E Nichols, Andrew P Holmes
Aug 10, 2002·NeuroImage·Peter E TurkeltaubThomas A Zeffiro
Mar 30, 2006·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·James J Pekar
Jan 24, 2007·NeuroImage·Bertrand ThirionJean-Baptiste Poline
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Nov 6, 2008·Social Cognitive and Affective Neuroscience·Tor D WagerLauren Kaplan
Jun 28, 2011·Nature Methods·Tal YarkoniTor D Wager
Jun 28, 2011·Journal of the American Statistical Association·Jian KangTor D Wager
Sep 26, 2012·Biometrics·Silvia MontagnaDavid B Dunson
Sep 25, 2014·Cerebral Cortex·B T Thomas YeoMichael W L Chee
Nov 27, 2014·The Annals of Applied Statistics·Jian KangTimothy D Johnson
Apr 9, 2015·PLoS Computational Biology·Tor D WagerLisa Feldman Barrett

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Citations

Aug 24, 2020·Human Brain Mapping·Franco CaudaTommaso Costa
Aug 30, 2020·Research Synthesis Methods·Pantelis SamartsidisThomas E Nichols
Mar 25, 2019·Journal of the Royal Statistical Society. Series C, Applied Statistics·Pantelis SamartsidisThomas E Nichols
Aug 4, 2018·Frontiers in Physiology·Silvia Montagna, James Hopker
Dec 29, 2020·Biometrics·Cui GuoTimothy D Johnson
Jan 1, 2017·Statistical Science : a Review Journal of the Institute of Mathematical Statistics·Pantelis SamartsidisTimothy D Johnson
Jun 29, 2021·Cerebral Cortex·Minho Shin, Hyeon-Ae Jeon

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