[HTML][HTML] A method for estimating dynamic functional network connectivity gradients (dFNG) from ICA captures smooth inter-network modulation
Dynamic functional network connectivity (dFNC) analysis is a widely used approach for
studying brain function and offering insight into how brain networks evolve over time …
studying brain function and offering insight into how brain networks evolve over time …
Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia
Background Dynamic functional network connectivity (dFNC) summarizes associations
among time-varying brain networks and is widely used for studying dynamics. However …
among time-varying brain networks and is widely used for studying dynamics. However …
[HTML][HTML] Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with …
Functional magnetic resonance imaging (fMRI) studies often estimate brain intrinsic
connectivity networks (ICNs) from temporal relationships between hemodynamic signals …
connectivity networks (ICNs) from temporal relationships between hemodynamic signals …
Spatially constrained ICA enables robust detection of schizophrenia from very short resting-state fMRI data
Resting-state functional network connectivity (rsFNC) has shown utility for identifying
characteristic functional brain patterns in individuals with psychiatric and mood disorders …
characteristic functional brain patterns in individuals with psychiatric and mood disorders …
Weighted average of shared trajectory: A new estimator for dynamic functional connectivity efficiently estimates both rapid and slow changes over time
Background Dynamic functional network connectivity (dFNC) of the brain has attracted
considerable attention recently. Many approaches have been suggested to study dFNC with …
considerable attention recently. Many approaches have been suggested to study dFNC with …
[HTML][HTML] Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
Schizophrenia (SZ) and bipolar disorder (BP) share significant overlap in clinical symptoms,
brain characteristics, and risk genes, and both are associated with dysconnectivity among …
brain characteristics, and risk genes, and both are associated with dysconnectivity among …
[HTML][HTML] Schizophrenia shows disrupted links between brain volume and dynamic functional connectivity
Studies featuring multimodal neuroimaging data fusion for understanding brain function and
structure, or disease characterization, leverage the partial information available in each of …
structure, or disease characterization, leverage the partial information available in each of …
Spatially constrained ICA enables robust detection of schizophrenia from very short resting-state fMRI
M Duda, A Iraji, VD Calhoun - 2022 44th Annual International …, 2022 - ieeexplore.ieee.org
Resting-state functional network connectivity (rsFNC) has shown utility for identifying
characteristic functional brain patterns in individuals with psychiatric and mood disorders …
characteristic functional brain patterns in individuals with psychiatric and mood disorders …
[HTML][HTML] Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia
Dynamic functional network connectivity (dFNC) analysis is a widely-used to study
associations between dynamic functional correlations and cognitive abilities. Traditional …
associations between dynamic functional correlations and cognitive abilities. Traditional …
Explicitly Nonlinear Dynamic Functional Network Connectivity In Resting-State fMRI Data
Most dynamic functional connectivity in fMRI data is focused on linear correlations, and to
our knowledge, no study has studied whole brain explicitly nonlinear dynamic relationships …
our knowledge, no study has studied whole brain explicitly nonlinear dynamic relationships …