467 citations · 515 across the 9 of their papers we have counts for
10 papers
SPM 25: open source neuroimaging analysis software
Tim M. Tierney, Nicholas A. Alexander, Nicole Labra Avila +17
Statistical Parametric Mapping (SPM) is an integrated set of methods for testing hypotheses about the brain's structure and function, using data from imaging devices. These methods…
Effective immunity and second waves: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +11
This technical report addresses a pressing issue in the trajectory of the coronavirus outbreak; namely, the rate at which effective immunity is lost following the first wave of the…
Tracking and tracing in the UK: a dynamic causal modelling study
Karl J. Friston, Thomas Parr, Peter Zeidman +9
By equipping a previously reported dynamic causal model of COVID-19 with an isolation state, we modelled the effects of self-isolation consequent on tracking and tracing. Specifica…
Second waves, social distancing, and the spread of COVID-19 across America
Karl J. Friston, Thomas Parr, Peter Zeidman +9
We recently described a dynamic causal model of a COVID-19 outbreak within a single region. Here, we combine several of these (epidemic) models to create a (pandemic) model of vira…
Dynamic causal modelling of COVID-19
Karl J. Friston, Thomas Parr, Peter Zeidman +9
This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outc…
Bayesian fusion and multimodal DCM for EEG and fMRI
Huilin Wei, Amirhossein Jafarian, Peter Zeidman +4
This paper asks whether integrating multimodal EEG and fMRI data offers a better characterisation of functional brain architectures than either modality alone. This evaluation rest…
Structure Learning in Coupled Dynamical Systems and Dynamic Causal Modelling
Amirhossein Jafarian, Peter Zeidman, Vladimir Litvak +1
Identifying a coupled dynamical system out of many plausible candidates, each of which could serve as the underlying generator of some observed measurements, is a profoundly ill po…
Neurovascular coupling: insights from multi-modal dynamic causal modelling of fMRI and MEG
Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan +2
This technical note presents a framework for investigating the underlying mechanisms of neurovascular coupling in the human brain using multi-modal magnetoencephalography (MEG) and…
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB
Peter Zeidman, Amirhossein Jafarian, Mohamed L. Seghier +4
This tutorial provides a worked example of using Dynamic Causal Modelling (DCM) and Parametric Empirical Bayes (PEB) to characterise inter-subject variability in neural circuitry (…
A computational hierarchy in human cortex
Andreea O. Diaconescu, Vladimir Litvak, Christoph Mathys +3
Hierarchies feature prominently in anatomical accounts of cortical organisation. An open question is which computational (algorithmic) processes are implemented by these hierarchie…