385 related articles for article (PubMed ID: 29782993)
1. Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.
Wang Y; Wang Y; Lui YW
Neuroimage; 2018 Sep; 178():385-402. PubMed ID: 29782993
[TBL] [Abstract][Full Text] [Related]
2. Biophysically interpretable recurrent neural network for functional magnetic resonance imaging analysis and sparsity based causal architecture discovery.
Wang Y; Wang Y; Lui YW
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():275-278. PubMed ID: 30440391
[TBL] [Abstract][Full Text] [Related]
3. Physiologically informed dynamic causal modeling of fMRI data.
Havlicek M; Roebroeck A; Friston K; Gardumi A; Ivanov D; Uludag K
Neuroimage; 2015 Nov; 122():355-72. PubMed ID: 26254113
[TBL] [Abstract][Full Text] [Related]
4. A validation of dynamic causal modelling for 7T fMRI.
Tak S; Noh J; Cheong C; Zeidman P; Razi A; Penny WD; Friston KJ
J Neurosci Methods; 2018 Jul; 305():36-45. PubMed ID: 29758234
[TBL] [Abstract][Full Text] [Related]
5. Large-scale neural models and dynamic causal modelling.
Lee L; Friston K; Horwitz B
Neuroimage; 2006 May; 30(4):1243-54. PubMed ID: 16387513
[TBL] [Abstract][Full Text] [Related]
6. On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data.
Havlicek M; Roebroeck A; Friston KJ; Gardumi A; Ivanov D; Uludag K
Neuroimage; 2017 Jul; 155():217-233. PubMed ID: 28323165
[TBL] [Abstract][Full Text] [Related]
7. Construct validation of a DCM for resting state fMRI.
Razi A; Kahan J; Rees G; Friston KJ
Neuroimage; 2015 Feb; 106():1-14. PubMed ID: 25463471
[TBL] [Abstract][Full Text] [Related]
8. Dynamic causal modelling of EEG and fMRI to characterize network architectures in a simple motor task.
Bönstrup M; Schulz R; Feldheim J; Hummel FC; Gerloff C
Neuroimage; 2016 Jan; 124(Pt A):498-508. PubMed ID: 26334836
[TBL] [Abstract][Full Text] [Related]
9. Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks.
Li H; Fan Y
Neuroimage; 2019 Nov; 202():116059. PubMed ID: 31362049
[TBL] [Abstract][Full Text] [Related]
10. Dynamic Causal Modelling and physiological confounds: a functional MRI study of vagus nerve stimulation.
Reyt S; Picq C; Sinniger V; Clarençon D; Bonaz B; David O
Neuroimage; 2010 Oct; 52(4):1456-64. PubMed ID: 20472074
[TBL] [Abstract][Full Text] [Related]
11. Test-retest reliability of effective connectivity in the face perception network.
Frässle S; Paulus FM; Krach S; Jansen A
Hum Brain Mapp; 2016 Feb; 37(2):730-44. PubMed ID: 26611397
[TBL] [Abstract][Full Text] [Related]
12. Dynamic Effective Connectivity using Physiologically informed Dynamic Causal Model with Recurrent Units: A functional Magnetic Resonance Imaging simulation study.
Nag S; Uludag K
Front Hum Neurosci; 2023; 17():1001848. PubMed ID: 36936613
[TBL] [Abstract][Full Text] [Related]
13. Regression DCM for fMRI.
Frässle S; Lomakina EI; Razi A; Friston KJ; Buhmann JM; Stephan KE
Neuroimage; 2017 Jul; 155():406-421. PubMed ID: 28259780
[TBL] [Abstract][Full Text] [Related]
14. Dynamic causal modelling: a critical review of the biophysical and statistical foundations.
Daunizeau J; David O; Stephan KE
Neuroimage; 2011 Sep; 58(2):312-22. PubMed ID: 19961941
[TBL] [Abstract][Full Text] [Related]
15. Identification of neural activity based on fMRI data: a simulation study.
Hemmelmann D; Leistritz L; Witte H; Galicki M
J Physiol Paris; 2009 Nov; 103(6):353-60. PubMed ID: 19497366
[TBL] [Abstract][Full Text] [Related]
16. A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection.
Sawant Y; Kundu JN; Radhakrishnan VB; Sridharan D
J Neurosci; 2022 Nov; 42(44):8262-8283. PubMed ID: 36123120
[TBL] [Abstract][Full Text] [Related]
17. Test-retest reliability of dynamic causal modeling for fMRI.
Frässle S; Stephan KE; Friston KJ; Steup M; Krach S; Paulus FM; Jansen A
Neuroimage; 2015 Aug; 117():56-66. PubMed ID: 26004501
[TBL] [Abstract][Full Text] [Related]
18. Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics.
Sobczak F; He Y; Sejnowski TJ; Yu X
Cereb Cortex; 2021 Jan; 31(2):826-844. PubMed ID: 32940658
[TBL] [Abstract][Full Text] [Related]
19. Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding.
Luong HV; Joukovsky B; Deligiannis N
IEEE Trans Image Process; 2021; 30():4099-4113. PubMed ID: 33798083
[TBL] [Abstract][Full Text] [Related]
20. A strategy of model space search for dynamic causal modeling in task fMRI data exploratory analysis.
Ou Y; Dai P; Zhou X; Xiong T; Li Y; Chen Z; Zou B
Phys Eng Sci Med; 2022 Sep; 45(3):867-882. PubMed ID: 35849323
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]