eprintid: 10091906
rev_number: 186
eprint_status: archive
userid: 608
dir: disk0/10/09/19/06
datestamp: 2020-02-21 16:32:54
lastmod: 2022-01-16 23:56:48
status_changed: 2020-02-21 16:32:54
type: article
metadata_visibility: show
creators_name: Wei, H
creators_name: Jafarian, A
creators_name: Zeidman, P
creators_name: Litvak, V
creators_name: Razi, A
creators_name: Hu, D
creators_name: Friston, KJ
title: Bayesian fusion and multimodal DCM for EEG and fMRI
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
divisions: D07
divisions: F83
keywords: Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, Multimodal data, Bayesian belief updating, Dynamic causal modelling, Canonical microcircuit neural mass model, Information gain, EVOKED-RESPONSES, CANONICAL MICROCIRCUITS, MISMATCH NEGATIVITY, NEURONAL-ACTIVITY, EEG/FMRI FUSION, BRAIN NETWORK, MODEL, CONNECTIVITY, INFORMATION, INTEGRATION
date: 2020-05-01
date_type: published
publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE
oa_status: green
full_text_type: pub
primo: open
primo_central: open_green
article_type_text: Article
elements_id: 1666799
doi: 10.1016/j.neuroimage.2020.116595
lyricists_name: Friston, Karl
lyricists_name: Jafarian, Amirhossein
lyricists_name: Litvak, Vladimir
lyricists_name: Razi, Adeel
lyricists_name: Zeidman, Peter
lyricists_id: KJFRI52
lyricists_id: AJAFA55
lyricists_id: LITVA78
lyricists_id: ARAZI49
lyricists_id: PZEID23
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: NEUROIMAGE
volume: 211
number: ARTN 116
pages: 16
issn: 1095-9572
citation:        Wei, H;    Jafarian, A;    Zeidman, P;    Litvak, V;    Razi, A;    Hu, D;    Friston, KJ;      (2020)    Bayesian fusion and multimodal DCM for EEG and fMRI.                   NEUROIMAGE , 211  (ARTN 116)      10.1016/j.neuroimage.2020.116595 <https://doi.org/10.1016/j.neuroimage.2020.116595>.       Green open access   
 
document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10091906/1/1-s2.0-S1053811920300823-main.pdf