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A DCM for resting state fMRI

Friston, KJ; Kahan, J; Biswal, B; Razi, A; (2013) A DCM for resting state fMRI. Neuroimage , 94 396- 407. 10.1016/j.neuroimage.2013.12.009. Green open access

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Abstract

This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity-as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal fluctuations in a distributed neuronal network or graph. Effectively, the resulting scheme finds the best effective connectivity among hidden neuronal states that explains the observed functional connectivity among haemodynamic responses. This is because the cross spectra contain all the information about (second order) statistical dependencies among regional dynamics. In this note, we focus on describing the model, its relationship to existing measures of directed and undirected functional connectivity and establishing its face validity using simulations. In subsequent papers, we will evaluate its construct validity in relation to stochastic DCM and its predictive validity in Parkinson's and Huntington's disease.

Type: Article
Title: A DCM for resting state fMRI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2013.12.009
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2013.12.009
Language: English
Additional information: © 2013 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-D license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Keywords: Bayesian, Dynamic causal modelling, Effective connectivity, Functional connectivity, Graph, Resting state, fMRI
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1424402
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