Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior
Folding of the cerebral cortex is a prominent characteristic of mammalian brains. Alterations
or deficits in cortical folding are strongly correlated with abnormal brain function, cognition …
or deficits in cortical folding are strongly correlated with abnormal brain function, cognition …
Sparse representation of whole-brain fMRI signals for identification of functional networks
There have been several recent studies that used sparse representation for fMRI signal
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function
For decades, it has been largely unknown to what extent multiple functional networks
spatially overlap/interact with each other and jointly realize the total cortical function. Here …
spatially overlap/interact with each other and jointly realize the total cortical function. Here …
Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations
A relatively underexplored question in fMRI is whether there are intrinsic differences in terms
of signal composition patterns that can effectively characterize and differentiate task-based …
of signal composition patterns that can effectively characterize and differentiate task-based …
Supervised dictionary learning for inferring concurrent brain networks
Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via
predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model …
predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model …
Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia
The extraction of common and distinct biomedical signatures among different populations
allows for a more detailed study of the group-specific as well as distinct information of …
allows for a more detailed study of the group-specific as well as distinct information of …
Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex
The recently publicly released Human Connectome Project (HCP) grayordinate‐based fMRI
data not only has high spatial and temporal resolution, but also offers group‐corresponding …
data not only has high spatial and temporal resolution, but also offers group‐corresponding …
Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis …
Background Brain networks in fMRI are typically identified using spatial independent
component analysis (ICA), yet other mathematical constraints provide alternate biologically …
component analysis (ICA), yet other mathematical constraints provide alternate biologically …
Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis
Recent studies of functional connectivity MR imaging have revealed that the default-mode
network activity is disrupted in diseases such as Alzheimer's disease (AD). However, there is …
network activity is disrupted in diseases such as Alzheimer's disease (AD). However, there is …
Incoherent dictionary learning for reducing crosstalk noise in least-squares reverse time migration
J Wu, M Bai - Computers & Geosciences, 2018 - Elsevier
We propose to apply a novel incoherent dictionary learning (IDL) algorithm for regularizing
the least-squares inversion in seismic imaging. The IDL is proposed to overcome the …
the least-squares inversion in seismic imaging. The IDL is proposed to overcome the …