Large-scale DCMs for resting-state fMRI

Large-scale DCMs for resting-state fMRI

This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations...

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Bibliographic Details
Main Authors: Adeel Razi, Mohamed L. Seghier, Yuan Zhou, Peter McColgan, Peter Zeidman, Hae-Jeong Park, Olaf Sporns, Geraint Rees, Karl J. Friston
Format: Article
Language:English
Published: The MIT Press 2017-01-01
Series:Network Neuroscience
Subjects:
Dynamic causal modeling
Effective connectivity
Functional connectivity
Resting state
fMRI
Graph theory
Bayesian inference
Large-scale networks
Online Access:https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_a_00015

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https://www.mitpressjournals.org/doi/pdf/10.1162/NETN_a_00015

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