Bayesian log‐Gaussian Cox process regression: applications to meta‐analysis of neuroimaging working memory studies

Neuroimaging studies of working memory: a meta-analysis.

We performed meta-analyses on 60 neuroimaging (PET and fMRI) studies of working memory (WM), considering three types of storage material (spatial, verbal, and object), three types of executive function (continuous updating of WM, memory for temporal order, and manipulation of information in WM), and interactions between material and executive function. Analyses of material type showed the expec...

Mechanisms of Verbal Working Memory Revealed by Neuroimaging Studies

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Bayesian Rician Regression for Neuroimaging

It is well-known that data from diffusion weighted imaging (DWI) follow the Rician distribution. The Rician distribution is also relevant for functional magnetic resonance imaging (fMRI) data obtained at high temporal or spatial resolution. We propose a general regression model for non-central χ (NC-χ) distributed data, with the heteroscedastic Rician regression model as a prominent special cas...

Neuroimaging Studies of Memory

Neuroimaging analyses of human working memory.

We review a program of research that uses neuroimaging techniques to determine the functional and neural architecture of human working memory. A first set of studies indicates that verbal working memory includes a storage component, which is implemented neurally by areas in the left-hemisphere posterior parietal cortex, and a subvocal rehearsal component, which is implemented by left-hemisphere...