Cognitive function requires the coordination of neural activity across many scales, from
neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory …

Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …

Abstract Dynamic Causal Modelling (DCM) is the predominant method for inferring effective
connectivity from neuroimaging data. In the 15 years since its introduction, the neural …

Psychedelics exert unique effects on human consciousness. The thalamic filter model
suggests that core effects of psychedelics may result from gating deficits, based on a …

This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …

This paper revisits the dynamic causal modelling of fMRI timeseries by replacing the usual
(Taylor) approximation to neuronal dynamics with a neural mass model of the canonical …

At the inception of human brain mapping, two principles of functional anatomy underwrote
most conceptions—and analyses—of distributed brain responses: namely, functional …

Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …

An important characteristic of spontaneous brain activity is the anticorrelation between the
core default network (cDN) and the dorsal attention network (DAN) and the salience network …

This paper considers the identification of large directed graphs for resting-state brain
networks based on biophysical models of distributed neuronal activity, that is, effective …