467 citations · 922 across the 7 of their papers we have counts for
7 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…
Parametric dynamic causal modelling
Amirhossein Jafarian, Peter Zeidman, Rob. C Wykes +2
This technical note introduces parametric dynamic causal modelling, a method for inferring slow changes in biophysical parameters that control fluctuations of fast neuronal states.…
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 tutorial on group effective connectivity analysis, part 1: first level analysis with DCM for fMRI
Peter Zeidman, Amirhossein Jafarian, Nadège Corbin +4
Dynamic Causal Modelling (DCM) is the predominant method for inferring effective connectivity from neuroimaging data. In the 15 years since its introduction, the neural models and…