Modelling event-related responses in the brain

  title={Modelling event-related responses in the brain},
  author={Olivier David and Lee M. Harrison and Karl J. Friston},

Dynamic causal modeling of evoked responses in EEG and MEG

Causal modelling of evoked brain responses.

This thesis discusses the generation of the MMN in the light of predictive coding, and shows the usefulness of DCM in explaining how cortical activity is expressed at the scalp level and exploits the potential ofDCM for testing hierarchical models underlying the MMn.

Dynamic causal modelling of evoked responses: The role of intrinsic connections

A Dynamic Causal Model of the Coupling Between Pulse Stimulation and Neural Activity

A dynamic causal model that can explain context-dependent changes in neural responses, in the rat barrel cortex, to an electrical whisker stimulation at different frequencies is presented and can be used to invert the hemodynamic measurements of changes in blood flow to estimate the underlying neural activity.

Modelling Theta-Band Connectivity Between Occipital and Frontal Lobes: A Methodological MEG Study

A mathematical model of wave propagation is presented, motivated by current neuroscience literature, and the utility of the method is demonstrated in a clinical sample of schizophrenia patients, to investigate event related cortico-cortical brain dynamics in individuals and groups in the task positive state.

Repetition suppression and plasticity in the human brain




Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns

It was found that the previously developed lumped-parameter model of a single cortical column could produce a large variety of EEG-like waveforms and rhythms and suggest that the scalp-recorded EP is at least partially due to a phase reordering of the ongoing activity.

Evaluation of different measures of functional connectivity using a neural mass model

Neural dynamics and the fundamental mechanisms of event-related brain potentials.

These findings support a predominant role for stimulus-evoked activity in sensory ERP generation, and outline both logic and methodology necessary for differentiating evoked and phase resetting contributions to cognitive and motor ERPs in future studies.

Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attention.

Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions

In this article we used biologically plausible simulations of coupled neuronal populations to address the relationship between phasic and fast coherent neuronal interactions and macroscopic measures

A neural mass model for MEG/EEG: coupling and neuronal dynamics

Model of brain rhythmic activity

A family of spectral curves could be obtained which simulated the development of the EEG as function of age from a predominantly low frequency to a clearly rhythmic type of signal, which was shown to depend mainly on the feedback coupling parameters.

Unified neurophysical model of EEG spectra and evoked potentials

A broad range of ongoing and transient electrocortical activity can be understood within a common framework, which is parameterized by values that are directly related to physiological and anatomical quantities.