ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2019
Bayesian log-Gaussian Cox process regression: with applications to meta-analysis of neuroimaging working memory studies.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Cognition, body, and mind: A three-in-one coordinate-based fMRI meta-analysis on cognitive, physical, and meditative trainings.Human brain mapping · 2023Pooled it
- Relational vs representational social cognitive processing: a coordinate-based meta-analysis of neuroimaging data.Social cognitive and affective neuroscience · 2023Pooled it
- A Cortical Surface-Based Meta-Analysis of Human Reasoning.Cerebral cortex (New York, N.Y. : 1991) · 2021Pooled it
- Functional Neural Architecture of Working Memory in Musicians: An ALE Meta-Analysis and Review.Wiley interdisciplinary reviews. Cognitive sciencePooled it
- Neural Correlates of Moral Judgment in Dilemma Versus Non-Dilemma Contexts.Brain and behavior · 2026Review
- Intensity-dependent topographical expansion of sensory representations.bioRxiv : the preprint server for biology · 2026Article
- A Bayesian multivariate spatial point pattern model: application to oral microbiome FISH image data.Biostatistics (Oxford, England) · 2026Article
- CBMR: Coordinate-based meta-regression for group and covariate inference.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neuroimaging meta regression for coordinate based meta analysis data with a spatial model.Biostatistics (Oxford, England) · 2024Article
- Consistent activation differences versus differences in consistent activation: Evaluating meta-analytic contrasts.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Associations between neighborhood socioeconomic status, parental education, and executive system activation in youth.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models.Journal of applied statistics · 2023Review
- Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders.Human brain mapping · 2019Review
- Relationships Between Executive Control Circuit Activity, Amyloid Burden, and Education in Cognitively Healthy Older Adults.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Working memory (WM) was one of the first cognitive processes studied with functional magnetic resonance imaging (fMRI). With now over 20 years of studies on WM, each study with tiny sample sizes, there is a need for meta-analysis to identify the brain regions consistently activated by WM tasks, and to understand the inter-study variation in those activations. However, current methods in the field cannot fully account for the spatial nature of neuroimaging meta-analysis data or the heterogeneity observed among WM studies. In this work, we propose a fully Bayesian random-effects meta-regression model based on log-Gaussian Cox processes, which can be used for meta-analysis of neuroimaging studies. An efficient MCMC scheme for posterior simulations is presented which makes use of some recent advances in parallel computing using graphics processing units (GPUs). Application of the proposed model to a real dataset provides valuable insights regarding the function of the WM.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.