[HTML][HTML] Using dual regression to investigate network shape and amplitude in functional connectivity analyses
Independent Component Analysis (ICA) is one of the most popular techniques for the
analysis of resting state FMRI data because it has several advantageous properties when�…
analysis of resting state FMRI data because it has several advantageous properties when�…
Dynamic resting state functional connectivity in awake and anesthetized rodents
Since its introduction, resting-state functional magnetic resonance imaging (rsfMRI) has
been a powerful tool for investigating functional neural networks in both normal and�…
been a powerful tool for investigating functional neural networks in both normal and�…
Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification
The use of resting state fMRI (rs-fMRI) in translational research is a powerful tool to assess
brain connectivity and investigate neuropathology in mouse models. However, despite�…
brain connectivity and investigate neuropathology in mouse models. However, despite�…
[HTML][HTML] Representation learning of resting state fMRI with variational autoencoder
Resting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but
structured patterns. However, the underlying origins are unclear and entangled in rsfMRI�…
structured patterns. However, the underlying origins are unclear and entangled in rsfMRI�…
[HTML][HTML] Brain complex network analysis by means of resting state fMRI and graph analysis: Will it be helpful in clinical epilepsy?
H Onias, A Viol, F Palhano-Fontes, KC Andrade…�- Epilepsy & Behavior, 2014 - Elsevier
Functional magnetic resonance imaging (fMRI) has just completed 20 years of existence. It
currently serves as a research tool in a broad range of human brain studies in normal and�…
currently serves as a research tool in a broad range of human brain studies in normal and�…
[HTML][HTML] Frequency-specific brain network architecture in resting-state fMRI
The analysis of brain function in resting-state network (RSN) models, ascertained through
the functional connectivity pattern of resting-state functional magnetic resonance imaging (rs�…
the functional connectivity pattern of resting-state functional magnetic resonance imaging (rs�…
Hubs of anticorrelation in high-resolution resting-state functional connectivity network architecture
K Gopinath, V Krishnamurthy, R Cabanban…�- Brain�…, 2015 - liebertpub.com
A major focus of brain research recently has been to map the resting-state functional
connectivity (rsFC) network architecture of the normal brain and pathology through�…
connectivity (rsFC) network architecture of the normal brain and pathology through�…
Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective
XN Zuo, XX Xing�- Neuroscience & Biobehavioral Reviews, 2014 - Elsevier
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human�…
monitor fluctuations in the spontaneous brain activities of thousands of regions in the human�…
[HTML][HTML] Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity
Although resting-state functional magnetic resonance imaging (fMRI) studies have observed
dynamically changing brain-wide networks of correlated activity, fMRI's dependence on�…
dynamically changing brain-wide networks of correlated activity, fMRI's dependence on�…
[HTML][HTML] Normalized cut group clustering of resting-state FMRI data
Background Functional brain imaging studies have indicated that distinct anatomical brain
regions can show coherent spontaneous neuronal activity during rest. Regions that show�…
regions can show coherent spontaneous neuronal activity during rest. Regions that show�…