Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A spatial template independent component analysis model for
  subject-level brain network estimation and inference   Independent component analysis is commonly applied to functional magnetic
resonance imaging (fMRI) data to extract independent components (ICs)
representing functional brain networks. While ICA produces reliable group-level
estimates, single-subject ICA often produces noisy results. Template ICA (tICA)
is a hierarchical ICA model using empirical population priors to produce
reliable subject-level IC estimates. However, this and other hierarchical ICA
models assume unrealistically that subject effects are spatially independent.
Here, we propose spatial template ICA (stICA), which incorporates spatial
process priors into tICA. This results in greater estimation efficiency of ICs
and subject effects. Additionally, the joint posterior distribution can be used
to identify engaged areas using an excursions set approach. By leveraging
spatial dependencies and avoiding massive multiple comparisons, stICA has high
power to detect true effects. We derive an efficient expectation-maximization
algorithm to obtain maximum likelihood estimates of the model parameters and
posterior moments of the latent fields. Based on analysis of simulated data and
fMRI data from the Human Connectome Project, we find that stICA produces
estimates that are more accurate and reliable than benchmark approaches, and
identifies larger and more reliable areas of engagement. The algorithm is quite
tractable, achieving convergence within 7 hours in our fMRI analysis.

37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math