## Dynamic causal modelling of evoked responses

Venue: | in EEG and MEG. NeuroImage |

Citations: | 36 - 17 self |

### BibTeX

@INPROCEEDINGS{Kiebel_dynamiccausal,

author = {Stefan J. Kiebel and Olivier David and Karl J. Friston},

title = {Dynamic causal modelling of evoked responses},

booktitle = {in EEG and MEG. NeuroImage},

year = {}

}

### Years of Citing Articles

### OpenURL

### Abstract

EEG/MEG with lead field parameterization

### Citations

513 | Distributed hierarchical processing in the primate cerebral cortex - Felleman, Essen - 1991 |

180 |
Dynamic causal modelling
- Friston, Harrison, et al.
- 2003
(Show Context)
Citation Context ...constants in the state and observation equations above. In addition to minimizing the prediction error, the parameters are constrained by a prior specification of the range they are likely to lie in (=-=Friston et al., 2003-=-). These constraints, which take the form of a prior density p(h), are combined with the likelihood p( y | h), to form a posterior density p(h | y) ”p( y | h)p(h) according to Bayes’ rule. It is this ... |

116 |
Blind separation of auditory event-related brain responses into independent components
- Makeig, Jung, et al.
- 1997
(Show Context)
Citation Context ...rest and no interest. In this paper, we have used singular value decomposition. One can also consider independent component analysis (ICA) which provides a more constrained decomposition of the data (=-=Makeig et al., 1997-=-; Tang et al., 2005). We have shown that it is possible to use DCM to estimate propagation delays between cortical areas. For these delays, we chose a prior mean of 16 ms. For the SEP data, the delay ... |

98 | Classical and Bayesian inference in neuroimaging: theory - Friston, Penny, et al. - 2002 |

79 | Comparing dynamic causal models
- Penny, Stephan, et al.
(Show Context)
Citation Context ...ontrast is bigger than a specified threshold. In some situations, one may want to compare different models. This entails Bayesian model comparison. Different models are compared using their evidence (=-=Penny et al., 2004-=-). The model evidence is Z pyjm ð Þ pyjh; ð mÞpðhjmÞdh: ð9Þ Note that the model evidence is simply the normalization term in Eq. (7). The evidence can be decomposed into two components: an accuracy ... |

77 |
Numerical recipes in C, Cambridge Univ
- Press, Teukolsky, et al.
- 1992
(Show Context)
Citation Context ... regarded as an Expectation-Maximization (EM) algorithm that employs a local linear approximation of Eq. (6) about the current conditional expectation. The E-step conforms to a Fisher-scoring scheme (=-=Press et al., 1992-=-) that performs a descent on the variational free energy F( q, k, m) with respect to the conditional moments. In the M-Step, the error variances k are updated in exactly the same way. The estimation s... |

68 | Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns - Jansen, Rit - 1995 |

64 |
EEG and MEG: Forward solutions for inverse methods
- Mosher, Leahy, et al.
- 1999
(Show Context)
Citation Context ...ased forward model, we use equivalent current dipoles (ECDs). This has distinct advantages over other models. First, ECDs’ spatial expression is analytic, i.e., the forward model computation is fast (=-=Mosher et al., 1999-=-). Secondly, the model is based on electrode positions only and does not need information from a structural MRI. Thirdly, many authors reported ECD location and orientation for specific ERP/ERF experi... |

54 | A neural mass model for MEG/EEG: coupling and neuronal dynamics, NeuroImage 20
- David, Friston
- 2003
(Show Context)
Citation Context ...vior of the three neuronal subpopulations which operate as linear damped oscillators. The integration of the differential equations pertaining to each subpopulation can be expressed as a convolution (=-=David and Friston, 2003-=-). This convolution trans-S.J. Kiebel et al. / NeuroImage 30 (2006) 1273–1284 1275 forms the average density of its presynaptic inputs into an average postsynaptic membrane potential. The convolution... |

51 | A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem
- Baillet, Garnero
- 1997
(Show Context)
Citation Context ...patial forward models. Given some parameterization of the lead field, one can use any spatial model in the observation equation (Eq. (4)). A further example would be some linear distributed approach (=-=Baillet and Garnero, 1997-=-; Phillips et al., 2002), where a Fpatch_ of dipoles, confined to the cortical surface, would act as the spatial expression of one area. Possible parameters include the extent of the patch and locatio... |

50 | Bayesian estimation of dynamical systems: an application to fMRI - Friston - 2002 |

36 |
Evaluation of Different Measures of Functional Connectivity Using a Neural Mass Model." Neuroimage 21(2
- David, Cosmelli, et al.
- 2004
(Show Context)
Citation Context ...fects (Mosher et al., 1999). Hierarchical MEG/EEG neural mass model We have developed a hierarchical cortical model to study the influence of forward, backward, and lateral connections on ERFs/ ERPs (=-=David et al., 2004-=-). This model is used here as a DCM and embodies directed extrinsic connections among a number of sources, each based on the Jansen and Rit (1995) model, using the connectivity rules described in Fell... |

27 | Modelling event-related responses in the brain
- David, Harrison, et al.
- 2005
(Show Context)
Citation Context ...derations and autoregressive modeling. This paper is structured as follows. In the Theory section, we will describe briefly the temporal generative model for ERP/ERFs (for a detailed description, see =-=David et al., 2005-=-). This is followed by a description of the spatial forward model, its parameterization and typical prior distributions we adopt for ERP data. In the Results section, we illustrate the operational det... |

25 |
The functional neuroanatomy of target detection: An fMRI study of visual and auditory oddball tasks
- Linden, Prvulovic, et al.
- 1999
(Show Context)
Citation Context ...aset was acquired using an oddball paradigm (David et al., 2006). The data show a mismatch negativity (MMN) and P300 component in response to rare stimuli, relative to frequent (Debener et al., 2002; =-=Linden et al., 1999-=-). In this example, we attribute changes in coupling to plasticity underlying the learning of frequent or standard stimuli. The second data are somatosensory-evoked potentials (SEPs) following unilate... |

20 | Anatomically Informed Basis Functions for EEG Source Localisation: Combining Functional and Anatomical Constraints. NeuroImage
- Phillips, Rugg, et al.
(Show Context)
Citation Context ...n some parameterization of the lead field, one can use any spatial model in the observation equation (Eq. (4)). A further example would be some linear distributed approach (Baillet and Garnero, 1997; =-=Phillips et al., 2002-=-), where a Fpatch_ of dipoles, confined to the cortical surface, would act as the spatial expression of one area. Possible parameters include the extent of the patch and location on the surface. With ... |

19 | Mapping human brain function with MEG and EEG: methods and validation
- Darvas, Pantazias, et al.
- 2004
(Show Context)
Citation Context ...ver time fall out naturally as the system’s states. Typically, most current source reconstruction approaches for EEG/ MEG data are based exclusively on constraints given by the spatial forward model (=-=Darvas et al., 2004-=-). However, recently models have been proposed which use (spatio-) temporal constraints to invert the model (Darvas et al., 2001; Galka et al., 2004). These spatiotemporal approaches are closer to DCM... |

18 | A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalography and clinical neurophysiology
- Leahy, Mosher, et al.
- 1998
(Show Context)
Citation Context ...nondipole-like responses. However, note that dipole models for MEG are seen, with respect to localization error, as an adequate alternative to realistic boundary element methods (Darvas et al., 2004; =-=Leahy et al., 1998-=-). Furthermore, with DCM, exact localization is not necessarily the primary goal. Our experience suggests that precise Bayesian inversion only requires that each ECD is located roughly in some designa... |

16 | A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering
- Galka, Yamashita, et al.
- 2004
(Show Context)
Citation Context ...on constraints given by the spatial forward model (Darvas et al., 2004). However, recently models have been proposed which use (spatio-) temporal constraints to invert the model (Darvas et al., 2001; =-=Galka et al., 2004-=-). These spatiotemporal approaches are closer to DCM but use generic constraints derived from temporal smoothness considerations and autoregressive modeling. This paper is structured as follows. In th... |

15 |
Activation of a distributed somatosensory cortical network in the human brain. A dipole modelling study of magnetic fields evoked by median nerve stimulation. Part I: Location and activation timing of SEF sources. Electroencephalography and clinical neuro
- Mauguière, Merlet, et al.
- 1997
(Show Context)
Citation Context ...nerve stimulus. In the present context, this is interesting for cross-validation purposes because there is substantial literature on ECD modeling of SEPs using either EEG or MEG (Lin and Forss, 2002; =-=Mauguiere et al., 1997-=-; Valeriani et al., 2001). The data were preprocessed using the current version of Statistical Parametric Mapping (SPM5b). Before averaging, the data were epoched between 100 to 150 ms, downsampled to... |

6 |
Auditory novelty oddball allows reliable distinction of top-down and bottom-up processes of attention, Int
- Debener, Kranczioch, et al.
(Show Context)
Citation Context ...ers. The first ERP dataset was acquired using an oddball paradigm (David et al., 2006). The data show a mismatch negativity (MMN) and P300 component in response to rare stimuli, relative to frequent (=-=Debener et al., 2002-=-; Linden et al., 1999). In this example, we attribute changes in coupling to plasticity underlying the learning of frequent or standard stimuli. The second data are somatosensory-evoked potentials (SE... |

6 |
Activation of human mesial cortex during somatosensory target detection task
- Forss, Merlet, et al.
- 1996
(Show Context)
Citation Context ...t each ECD is located roughly in some designated anatomical region. Also, as found by other authors, dipole parameters can identified precisely if neighboring areas have different orientations (e.g., =-=Forss et al., 1996-=-). An important observation is that, after projection to a few spatial modes, the orientation of the dipoles matters more than their location for modeling the data. By this, we mean that the condition... |

6 |
Confidence limits of dipole source reconstruction results
- Fuchs, Wagner, et al.
- 2004
(Show Context)
Citation Context ...space). Other methods that do not use this first-order approximation typically use Monte-Carlo and parametric bootstrap methods for the computation of dipole confidence intervals (Braun et al., 1997; =-=Fuchs et al., 2004-=-). As a Bayesian technique, DCM computes the model evidence. As we have shown above, we can use model evidences of competing models to assess which is the most likely given some data. Model comparison... |

5 |
H (2001) Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data. Brain Topogr 13
- Darvas, Schmitt, et al.
(Show Context)
Citation Context ...re based exclusively on constraints given by the spatial forward model (Darvas et al., 2004). However, recently models have been proposed which use (spatio-) temporal constraints to invert the model (=-=Darvas et al., 2001-=-; Galka et al., 2004). These spatiotemporal approaches are closer to DCM but use generic constraints derived from temporal smoothness considerations and autoregressive modeling. This paper is structur... |

4 |
Confidence interval of single dipole locations based on EEG data
- Braun, Kaiser, et al.
- 1997
(Show Context)
Citation Context ...ssed in measurement space). Other methods that do not use this first-order approximation typically use Monte-Carlo and parametric bootstrap methods for the computation of dipole confidence intervals (=-=Braun et al., 1997-=-; Fuchs et al., 2004). As a Bayesian technique, DCM computes the model evidence. As we have shown above, we can use model evidences of competing models to assess which is the most likely given some da... |

4 | Validation of SOBI components from high-density EEG
- Tang, Sutherland, et al.
(Show Context)
Citation Context ... In this paper, we have used singular value decomposition. One can also consider independent component analysis (ICA) which provides a more constrained decomposition of the data (Makeig et al., 1997; =-=Tang et al., 2005-=-). We have shown that it is possible to use DCM to estimate propagation delays between cortical areas. For these delays, we chose a prior mean of 16 ms. For the SEP data, the delay between cSIYcSII wa... |

4 | Characterizing somatosensory evoked potential sources with dipole models: Advantages and limitations - Valeriani, Pera, et al. - 2001 |

2 |
Functional characterization of human second somatosensory cortex by magnetoencephalography
- Lin, Forss
- 2002
(Show Context)
Citation Context ...us time. to a median nerve stimulus. In the present context, this is interesting for cross-validation purposes because there is substantial literature on ECD modeling of SEPs using either EEG or MEG (=-=Lin and Forss, 2002-=-; Mauguiere et al., 1997; Valeriani et al., 2001). The data were preprocessed using the current version of Statistical Parametric Mapping (SPM5b). Before averaging, the data were epoched between 100 t... |

2 | Improving EEG Source Analysis using Prior Knowledge. Ref Type: Thesis/Dissertation - Oostenveldm - 2003 |