Cited by 136Neural dynamics and brain functionFunctional Brain Connectivity StudiesEEG and Brain-Computer Interfaces

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Dynamic causal modelling of induced responses

Chen, C.C., Kiebel, S.J., Friston, K.J.·2008·NeuroImage

DOI 10.1016/j.neuroimage.2008.03.026

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Abstract

This paper describes a dynamic causal model (DCM) for induced or spectral responses as measured with the electroencephalogram (EEG) or the magnetoencephalogram (MEG). We model the time-varying power, over a range of frequencies, as the response of a distributed system of coupled electromagnetic sources to a spectral perturbation. The model parameters encode the frequency response to exogenous input and coupling among sources and different frequencies. The Bayesian inversion of this model, given data enables inferences about the parameters of a particular model and allows us to compare different models, or hypotheses. One key aspect of the model is that it differentiates between linear and non-linear coupling; which correspond to within and between-frequency coupling respectively. To establish the face validity of our approach, we generate synthetic data and test the identifiability of various parameters to ensure they can be estimated accurately, under different levels of noise. We then apply our model to EEG data from a face-perception experiment, to ask whether there is evidence for non-linear coupling between early visual cortex and fusiform areas.

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Authors: Chen, C. C., Kiebel, S. J., & Friston, K. J.
Affiliations: Wellcome Centre for Human Neuroimaging (GB)
Corresponding author: Chen, C.C.
ORCID: Chen, C.C.
Kiebel, S.J.
Friston, K.J.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2008-07
Volume: 41
Issue: 4
Pages: 1293-1312
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2008.03.026
OpenAlex: W2013176407
Cited by: 136
References: 78
Citations by year: 2026: 4 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 9 · 2019: 10 · 2018: 5 · 2017: 10 · 2016: 8 · 2015: 10 · 2014: 6 · 2013: 11 · 2012: 3
FWCI: 7.58
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Max Planck Digital Library (submittedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion)
Funders: Wellcome Trust (088130)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Keywords: dynamic causal modeling, induced responses, spectral response, EEG, MEG, Bayesian parameter estimation, model comparison, nonlinear coupling, parameter identifiability, face perception, fusiform gyrus, early visual cortex, distributed source model
MeSH terms: Algorithms, Bayes Theorem, Brain, Computer Simulation, Data Interpretation, Statistical, Electroencephalography, Humans, Synapses, Magnetoencephalography, Models, Statistical, Nonlinear Dynamics

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Dynamic causal modelling of induced responses

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