Construction of functional brain connectivity from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach-Reference-Cited by-同舟云学术

Construction of functional brain connectivity from fMRI data with driving and modulatory inputs: an extended conditional Granger causality approach

Published:2020 Issue:2 Volume:7 Page:66-88
ISSN:2373-7972
Container-title:AIMS Neuroscience
language:en
Short-container-title:

Author:

Almpanis Evangelos, ,Siettos Constantinos, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Neuroscience

Link

http://www.aimspress.com/article/10.3934/Neuroscience.2020005/pdf

Reference73 articles.

1. Functional and effective connectivity in neuroimaging: A synthesis;Friston KJ;Hum Brain Mapp

2. Functional and effective connectivity: A review;Friston KJ;Brain Connect

3. Analysing connectivity with granger causality and dynamic causal modelling;Friston K, Moran R, Seth AK;Curr Opin Neurobiol

4. SiettosC,StarkeJ(2016) Multiscalemodelingofbraindynamics: fromsingleneuronsandnetworks to mathematical tools. Wiley Interdiscip Rev Syst Biol Med

5. Network modelling methods for fmri;Smith SM, Miller KL, Salimi-Khorshidi G, et al.;Neuroimage

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning functional brain networks with heterogeneous connectivities for brain disease identification;Neural Networks;2024-12

2. Neural mechanisms of the continued influence effect of misinformation: Analysis based on fMRI causal connectivity;Neuroscience Letters;2024-07

3. Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-01-01