Estimating effective connectivity from fMRI data using factor-based subspace autoregressive models
CM Ting, AK Seghouane, SH Salleh… - IEEE Signal …, 2014 - ieeexplore.ieee.org
We consider the problem of identifying large-scale effective connectivity of brain networks
from fMRI data. Standard vector autoregressive (VAR) models fail to estimate reliably …
from fMRI data. Standard vector autoregressive (VAR) models fail to estimate reliably …
Estimation of high-dimensional brain connectivity from fMRI data using factor modeling
We consider identifying effective connectivity of brain networks from fMRI time series. The
standard vector autoregressive (VAR) models fail to give reliable network estimates, typically …
standard vector autoregressive (VAR) models fail to give reliable network estimates, typically …
Univariate and Dynamic Multivariate Analysis of Functional MRI Data
H Jia - 2014 - search.proquest.com
Functional magnetic resonance imaging (fMRI) has been increasingly used in the past
decade for inferring brain function in both healthy and clinical populations. In this …
decade for inferring brain function in both healthy and clinical populations. In this …