Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering
Quantitative modeling and analysis of structural and functional brain networks based on
diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) data have …
diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) data have …
DICCCOL: dense individualized and common connectivity-based cortical landmarks
Is there a common structural and functional cortical architecture that can be quantitatively
encoded and precisely reproduced across individuals and populations? This question is still …
encoded and precisely reproduced across individuals and populations? This question is still …
Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles
Segregation and integration are two general principles of the brain's functional architecture.
Therefore, brain network analysis is of significant importance in understanding brain …
Therefore, brain network analysis is of significant importance in understanding brain …
BrainCAT-a tool for automated and combined functional Magnetic Resonance Imaging and Diffusion Tensor Imaging brain connectivity analysis
Multimodal neuroimaging studies have recently become a trend in the neuroimaging field
and are certainly a standard for the future. Brain connectivity studies combining functional …
and are certainly a standard for the future. Brain connectivity studies combining functional …
[HTML][HTML] Identification of overlapping and interacting networks reveals intrinsic spatiotemporal organization of the human brain
The human brain is a complex network that exhibits dynamic fluctuations in activity across
space and time. Depending on the analysis method, canonical brain networks identified …
space and time. Depending on the analysis method, canonical brain networks identified …
A multimodal approach for determining brain networks by jointly modeling functional and structural connectivity
W Xue, FDB Bowman, AV Pileggi… - Frontiers in computational …, 2015 - frontiersin.org
Recent innovations in neuroimaging technology have provided opportunities for researchers
to investigate connectivity in the human brain by examining the anatomical circuitry as well …
to investigate connectivity in the human brain by examining the anatomical circuitry as well …
Joint graph convolution for analyzing brain structural and functional connectome
Abstract The white-matter (micro-) structural architecture of the brain promotes synchrony
among neuronal populations, giving rise to richly patterned functional connections. A …
among neuronal populations, giving rise to richly patterned functional connections. A …
Integrating functional and structural connectivities via diffusion-convolution-bilinear neural network
Traditional brain network methods usually focus on either functional connectivity (FC) or
structural connectivity (SC) for describing node interactions and only consider the interaction …
structural connectivity (SC) for describing node interactions and only consider the interaction …
Toward leveraging human connectomic data in large consortia: generalizability of fMRI-based brain graphs across sites, sessions, and paradigms
While graph theoretical modeling has dramatically advanced our understanding of complex
brain systems, the feasibility of aggregating connectomic data in large imaging consortia …
brain systems, the feasibility of aggregating connectomic data in large imaging consortia …
A Bayesian double fusion model for resting-state brain connectivity using joint functional and structural data
Current approaches separately analyze concurrently acquired diffusion tensor imaging (DTI)
and functional magnetic resonance imaging (fMRI) data. The primary limitation of these …
and functional magnetic resonance imaging (fMRI) data. The primary limitation of these …