Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are
important tools in cognitive and clinical neuroscience. Combined EEG–fMRI has been …

Each method for imaging brain activity has technical or physiological limits. Thus,
combinations of neuroimaging modalities that can alleviate these limitations such as …

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

In this article, we describe the mathematical framework of the computational model at the
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …

Neuronal activity-induced changes in vascular tone and oxygen consumption result in a
dynamic evolution of blood flow, volume, and oxygenation. Functional neuroimaging …

This paper introduces a multivariate Bayesian (MVB) scheme to decode or recognise brain
states from neuroimages. It resolves the ill-posed many-to-one mapping, from voxel values …

Simultaneous recording of brain activity by different neurophysiological modalities can yield
insights that reach beyond those obtained by each technique individually, even when …

Optical methods have been used to measure physiological variables for decades, as is
apparent from other chapters in this book. However, the use of diffuse optical light for …

This technical note presents a dynamic causal modelling (DCM) procedure for evaluating
different models of neurovascular coupling in the human brain–using combined …

We describe a Bayesian inference scheme for quantifying the active physiology of neuronal
ensembles using local field recordings of synaptic potentials. This entails the inversion of a …