The use of a priori information in ICA-based techniques for real-time fMRI: an evaluation of static/dynamic and spatial/temporal characteristics
Real-time brain functional MRI (rt-fMRI) allows in-vivo non-invasive monitoring of neural networks. The use of multivariate data-driven analysis methods such as independent component analysis (ICA) offers an attractive trade-off between data interpretability and information extraction, and can be us...
Main Authors: | Nicola eSoldati, Vince D Calhoun, Lorenzo eBruzzone, Jorge eJovicich |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2013-03-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00064/full |
Similar Items
-
Temporally constrained ICA with threshold and its application to fMRI data
by: Zhiying Long, et al.
Published: (2019-01-01) -
Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity
by: Zikuan Chen, et al.
Published: (2018-02-01) -
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data
by: Yuhui Du, et al.
Published: (2017-05-01) -
Identification of Homogeneous Subgroups from Resting-State fMRI Data
by: Hanlu Yang, et al.
Published: (2023-03-01) -
ICA of fMRI studies: new approaches and cutting edge applications
by: Simon Daniel Robinson, et al.
Published: (2013-10-01)