Dynamic causal modelling
Encyclopedia
Dynamic causal modelling (DCM) is a method for the interpretation of functional neuroimaging
data (e.g. fMRI). It is implemented in the Statistical parametric mapping software. DCM is a recent technique, developed only in 2003.
A collection of scientific articles related to DCM can be found on http://www.fil.ion.ucl.ac.uk/spm/doc/biblio/Keyword/DCM.html. A brief overview can be found on http://www.scholarpedia.org/article/Dynamic_causal_modeling.
Functional neuroimaging
Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function, often with a view to understanding the relationship between activity in certain brain areas and specific mental functions...
data (e.g. fMRI). It is implemented in the Statistical parametric mapping software. DCM is a recent technique, developed only in 2003.
A collection of scientific articles related to DCM can be found on http://www.fil.ion.ucl.ac.uk/spm/doc/biblio/Keyword/DCM.html. A brief overview can be found on http://www.scholarpedia.org/article/Dynamic_causal_modeling.