Dynamic causal modeling: Difference between revisions

Revision as of 08:49, 20 June 2018

Revision as of 08:53, 20 June 2018

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==== EEG / MEG / LFP ====

DCM for EEG and MEG data use more biologically detailed neural models than fMRI, as higher temporal resolution of these imaging techniques provide access to richer neural dynamics. These can be classed into phenomenological models, which focus on reproducing particular data features, and physiological models, which recapitulate neural circuity. The physiological models can be further subdivided into two classes. [http://www.scholarpedia.org/article/Conductance-based_models Conductance-based models] derive from the equivalent circuit representation of the cell membrane developed by Hodgkin and Huxley in the 1950s<ref name=":5">{{Cite journal|last=Hodgkin|first=A. L.|last2=Huxley|first2=A. F.|date=1952-04-28|title=The components of membrane conductance in the giant axon ofLoligo|url=http://dx.doi.org/10.1113/jphysiol.1952.sp004718|journal=The Journal of Physiology|volume=116|issue=4|pages=473–496|doi=10.1113/jphysiol.1952.sp004718|issn=0022-3751}}</ref> . Convolution models deriveinitialed from work by [[Wilson–Cowan model|Wilson & Cowan]]<ref>{{Cite journal|last=Wilson|first=H. R.|last2=Cowan|first2=J. D.|date=1973-09|title=A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue|url=http://dx.doi.org/10.1007/bf00288786|journal=Kybernetik|volume=13|issue=2|pages=55–80|doi=10.1007/bf00288786|issn=0340-1200}}</ref> and Freeman <ref>{{Cite journal|date=1975|title=Mass Action in the Nervous System|url=http://dx.doi.org/10.1016/c2009-0-03145-6|doi=10.1016/c2009-0-03145-6}}</ref> in the 1970s and involve a convolution of pre-synaptic input by a synaptic kernel function. The specific models are as follows:

* Physiological models: