Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks
Resting-state functional magnetic resonance imaging (rs-fMRI) provides a valuable tool to
study spontaneous brain activity. Using rs-fMRI, researchers have extensively studied the …
study spontaneous brain activity. Using rs-fMRI, researchers have extensively studied the …
Overlapping community structure detection of brain functional network using non-negative matrix factorization
Community structure, as a main feature of a complex network, has been investigated
recently under the assumption that the identified communities are non-overlapping …
recently under the assumption that the identified communities are non-overlapping …
Combining non-negative matrix factorization and sparse coding for functional brain overlapping community detection
The functional system of the human brain can be viewed as a complex network. Among
various features of the brain functional network, community structure has raised significant …
various features of the brain functional network, community structure has raised significant …
Nodal memberships to communities of functional brain networks reveal functional flexibility and individualized connectome
Human brain network is organized as interconnected communities for supporting cognition
and behavior. Despite studies on the nonoverlapping communities of brain network …
and behavior. Despite studies on the nonoverlapping communities of brain network …
[HTML][HTML] Low rank and sparsity constrained method for identifying overlapping functional brain networks
P Aggarwal, A Gupta - Plos one, 2018 - journals.plos.org
Analysis of functional magnetic resonance imaging (fMRI) data has revealed that brain
regions can be grouped into functional brain networks (fBNs) or communities. A community …
regions can be grouped into functional brain networks (fBNs) or communities. A community …
Large-scale sparse functional networks from resting state fMRI
Delineation of large-scale functional networks (FNs) from resting state functional MRI data
has become a standard tool to explore the functional brain organization in neuroscience …
has become a standard tool to explore the functional brain organization in neuroscience …
Biomarkers derived from alterations in overlapping community structure of resting-state brain functional networks for detecting Alzheimer's disease
Recent studies show that overlapping community structure is an important feature of the
brain functional network. However, alterations in such overlapping community structure in …
brain functional network. However, alterations in such overlapping community structure in …
Overlapping brain community detection using Bayesian tensor decomposition
S Mirzaei, H Soltanian-Zadeh - Journal of neuroscience methods, 2019 - Elsevier
It has been found that specific regions in the brain are dedicated to specific functions.
Detection and analysis of the constituent functional networks of the brain is of great …
Detection and analysis of the constituent functional networks of the brain is of great …
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization
We present a deep semi-nonnegative matrix factorization method for identifying subject-
specific functional networks (FNs) at multiple spatial scales with a hierarchical organization …
specific functional networks (FNs) at multiple spatial scales with a hierarchical organization …
Group replicator dynamics: A novel group-wise evolutionary approach for sparse brain network detection
B Ng, MJ McKeown… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Functional magnetic resonance imaging (fMRI) is increasingly used for studying functional
integration of the brain. However, large inter-subject variability in functional connectivity …
integration of the brain. However, large inter-subject variability in functional connectivity …