✦ LIBER ✦

Dynamic causal modelling for fMRI: A two-state model

✍ Scribed by A.C. Marreiros; S.J. Kiebel; K.J. Friston

Book ID: 118490749
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 907 KB
Volume: 39
Category: Article
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2007.08.019

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Dynamic causal modeling: A generative mo

Dynamic causal modeling: A generative model of slice timing in fMRI

✍ Stefan J. Kiebel; Stefan Klöppel; Nikolaus Weiskopf; Karl J. Friston 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 848 KB

A short history of causal modeling of fM

A short history of causal modeling of fMRI data

✍ Klaas Enno Stephan; Alard Roebroeck 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 388 KB

A Metropolis–Hastings algorithm for dyna

A Metropolis–Hastings algorithm for dynamic causal models

✍ Justin R. Chumbley; Karl J. Friston; Tom Fearn; Stefan J. Kiebel 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 808 KB

Dynamic causal modeling and Granger caus

Dynamic causal modeling and Granger causality Comments on: The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution

✍ Karl Friston 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 144 KB

Dynamic causal modelling for EEG and MEG

✍ Stefan J. Kiebel; Marta I. Garrido; Rosalyn J. Moran; Karl J. Friston 📂 Article 📅 2008 🏛 Springer Netherlands 🌐 English ⚖ 724 KB

Dynamic causal modeling for EEG and MEG

✍ Stefan J. Kiebel; Marta I. Garrido; Rosalyn Moran; Chun-Chuan Chen; Karl J. Fris 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 874 KB

## Abstract We present a review of dynamic causal modeling (DCM) for magneto‐ and electroencephalography (M/EEG) data. DCM is based on a spatiotemporal model, where the temporal component is formulated in terms of neurobiologically plausible dynamics. Following an intuitive description of the model