Billets de Michelle Dawson

Billet publié sur Twitter/X le 15/12/2013 21:38

Twitter/X Publication avec DOI crossref Extrait cité dans le billet Question posée par Dawson dans le billet Lien intégré au billet

Liens cités structurés

1 ressource citée

Publication avec DOI Récupéré Publication crossref

Karl J. Friston, Joshua Kahan, Bharat Biswal, Adeel Razi (2014). A DCM for resting state fMRI. NeuroImage, 94, 396-407. Elsevier BV.

Publication date
juillet 2014
Identifiant
10.1016/j.neuroimage.2013.12.009
Auteurs
Karl J. Friston, Joshua Kahan, Bharat Biswal, Adeel Razi
Source
NeuroImage
Détails
94, 396-407
Type de référence
article
Éditeur
Elsevier BV
Source de métadonnées
crossref

Résumé

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.

Auteur·ices de l’étude dans cette référence citée