The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods
Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to
understand the macro-connectome of the human brain. However, these fluctuations are not …
understand the macro-connectome of the human brain. However, these fluctuations are not …
[HTML][HTML] Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal …
One of the most controversial practices in resting-state fMRI functional connectivity studies is
whether or not to regress out the global average brain signal (GS) during artifact removal …
whether or not to regress out the global average brain signal (GS) during artifact removal …
Exploring resting-state functional connectivity with total interdependence
Resting-state fMRI has become a powerful tool for studying network mechanisms of normal
brain functioning and its impairments by neurological and psychiatric disorders. Analytically …
brain functioning and its impairments by neurological and psychiatric disorders. Analytically …
Enhanced subject‐specific resting‐state network detection and extraction with fast fMRI
Resting‐state networks have become an important tool for the study of brain function. An
ultra‐fast imaging technique that allows to measure brain function, called Magnetic …
ultra‐fast imaging technique that allows to measure brain function, called Magnetic …
Estimation of dynamic sparse connectivity patterns from resting state fMRI
Functional connectivity (FC) estimated from functional magnetic resonance imaging (fMRI)
time series, especially during resting state periods, provides a powerful tool to assess …
time series, especially during resting state periods, provides a powerful tool to assess …
Current methods and new directions in resting state fMRI
J Yang, S Gohel, B Vachha - Clinical imaging, 2020 - Elsevier
Resting state functional connectivity magnetic resonance imaging (rsfcMRI) has become a
key component of investigations of neurocognitive and psychiatric behaviors. Over the past …
key component of investigations of neurocognitive and psychiatric behaviors. Over the past …
Characterizing the modulation of resting-state fMRI metrics by baseline physiology
PPW Chu, AM Golestani, JB Kwinta, YB Khatamian… - Neuroimage, 2018 - Elsevier
The blood-oxygenation level dependent (BOLD) functional magnetic resonance imaging
(fMRI) signal is commonly used to assess functional connectivity across brain regions …
(fMRI) signal is commonly used to assess functional connectivity across brain regions …
Intensity‐based masking: A tool to improve functional connectivity results of resting‐state fMRI
Seed‐based functional connectivity (FC) of resting‐state functional MRI data is a widely
used methodology, enabling the identification of functional brain networks in health and …
used methodology, enabling the identification of functional brain networks in health and …
The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI
WH Thompson, P Fransson - Frontiers in human neuroscience, 2015 - frontiersin.org
When studying brain connectivity using fMRI, signal intensity time-series are typically
correlated with each other in time to compute estimates of the degree of interaction between …
correlated with each other in time to compute estimates of the degree of interaction between …
Unsupervised learning of functional network dynamics in resting state fMRI
Research in recent years has provided some evidence of temporal non-stationarity of
functional connectivity in resting state fMRI. In this paper, we present a novel methodology …
functional connectivity in resting state fMRI. In this paper, we present a novel methodology …