Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring latent networks in resting-state fMRI using voxel-to-voxel
  causal modeling feature selection   Functional networks characterize the coordinated neural activity observed by
functional neuroimaging. The prevalence of different networks during resting
state periods provide useful features for predicting the trajectory of
neurodegenerative diseases. Techniques for network estimation rely on
statistical correlation or dependence between voxels. Due to the large number
of voxels, rather than consider the voxel-to-voxel correlations between all
voxels, a small set of seed voxels are chosen. Consequently, the network
identification may depend on the selected seeds. As an alternative, we propose
to fit first-order linear models with sparse priors on the coefficients to
model activity across the entire set of cortical grey matter voxels as a linear
combination of a smaller subset of voxels. We propose a two-stage algorithm for
voxel subset selection that uses different sparsity-inducing regularization
approaches to identify subject-specific causally predictive voxels. To reveal
the functional networks among these voxels, we then apply independent component
analysis (ICA) to model these voxels' signals as a mixture of latent sources
each defining a functional network. Based on the inter-subject similarity of
the sources' spatial patterns we identify independent sources that are
well-matched across subjects but fail to match the independent sources from a
group-based ICA. These are resting state networks, common across subjects that
group ICA does not reveal. These complementary networks could help to better
identify neurodegeneration, a task left for future work.

22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg