Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data — Martin Havlíček (2017) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data
Shared by
Karl Friston
University College London, University of London
On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data
Article
2017
en
Authors
+3 more
MH
Martin Havlíček
AR
Alard Roebroeck
Karl Friston
University College London
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2015
Physiologically informed dynamic causal modeling of fMRI data
Martin Havlíček
,
Alard Roebroeck
,
Karl Friston
,
Anna Gardumi
,
Dimo Ivanov
,
Kâmil Uludaǧ
Article
2017
Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor
Hae‐Jeong Park
,
Chongwon Pae
,
Karl Friston
,
Changwon Jang
,
Adeel Razi
,
Peter Zeidman
,
Won Seok Chang
,
Jin Woo Chang
Article
2014
Effective connectivity during animacy perception – dynamic causal modelling of Human Connectome Project data
Hauke Hillebrandt
,
Karl Friston
,
Sarah‐Jayne Blakemore
Article
2019
COGNITIVE EFFORT MODULATES FRONTAL EFFECTIVE CONNECTIONS: A DYNAMIC CAUSAL MODELING STUDY ON MACAQUE MONKEYS
Katharina Wegner
,
Charles Wilson
,
Emmanuel Procyk
,
Karl Friston
,
Daniele Marinazzo
Article
2015
Test-retest reliability of dynamic causal modeling for fMRI
Stefan Frässle
,
Klaas Ε. Stephan
,
Karl Friston
,
Marlena Steup
,
Sören Krach
,
Frieder M. Paulus
,
Andreas Jansen
Discussion(0)
No comments yet. Be the first to comment.