Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities
… resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on
the structural network … In an individual with a sparse FC network, brain regions are relatively …
the structural network … In an individual with a sparse FC network, brain regions are relatively …
Effects of acute exercise fatigue on the spatiotemporal dynamics of resting-state large-scale brain networks
S Zhao, H Lin, A Chi, Y Gao - Frontiers in neuroscience, 2023 - frontiersin.org
… In this study, the effects of acute motor fatigue on large-scale brain functional networks were
investigated for the first time by EEG micro-state and resting-state cortical rhythm techniques…
investigated for the first time by EEG micro-state and resting-state cortical rhythm techniques…
[HTML][HTML] Resting-state fMRI dynamic functional network connectivity and associations with psychopathy traits
FA Espinoza, NE Anderson, VM Vergara… - NeuroImage: Clinical, 2019 - Elsevier
… large sample of resting state fMRI data formed mostly … functional network connectivity (FNC)
states across time, and assessed for relationship between psychopathic traits and FNC states…
states across time, and assessed for relationship between psychopathic traits and FNC states…
Large-scale augmented Granger causality (lsAGC) for connectivity analysis in complex systems: From computer simulations to functional MRI (fMRI)
A Wismüller, MA Vosoughi - … , Structural, and Functional …, 2021 - spiedigitallibrary.org
… Our results suggest that lsAGC, by extracting sparse connectivity matrices, may be useful
for network analysis in complex systems, and may be applicable to clinical fMRI analysis in …
for network analysis in complex systems, and may be applicable to clinical fMRI analysis in …
Comprehensive evaluation of pipelines for diagnostic biomarkers of major depressive disorder using multi-site resting-state fMRI datasets
Y Takahara, Y Kashiwagi, T Tokuda, J Yoshiomoto… - bioRxiv, 2024 - biorxiv.org
… For the machine learning method, our results showed that non-sparse machine learning …
In this study, although the fMRI data were acquired from multiple large-scale facilities, they …
In this study, although the fMRI data were acquired from multiple large-scale facilities, they …
Identification of homogeneous subgroups from resting-state fMRI data
… most and with sparse side effects… large-scale dataset while maintaining a low computational
cost. This study aims to identify subgroups from a large-scale multi-subject resting-state fMRI …
cost. This study aims to identify subgroups from a large-scale multi-subject resting-state fMRI …
Altered functional activity in bipolar disorder: A comprehensive review from a large‐scale network perspective
S Yoon, TD Kim, J Kim, IK Lyoo - Brain and behavior, 2021 - Wiley Online Library
… all 3 networks have sparse functional connections as compared to the healthy control
group. Other large-scale functional network that underwent intranetwork functional connectivity …
group. Other large-scale functional network that underwent intranetwork functional connectivity …
[HTML][HTML] Spatiotemporal functional interactivity among large-scale brain networks
… large-scale networks of the brain using resting state fMRI. This … correlation techniques to
four resting-state fMRI scans (each … 2, the short duration connections are dominated by sparse …
four resting-state fMRI scans (each … 2, the short duration connections are dominated by sparse …
Classification of schizophrenia from functional MRI using large-scale extended Granger causality
A Wismüller, MA Vosoughi - Medical Imaging 2021: Computer …, 2021 - spiedigitallibrary.org
… with alterations in brain network connectivity. We investigate whether large-scale Extended
Granger Causality (lsXGC) can capture such alterations using restingstate fMRI data. Our …
Granger Causality (lsXGC) can capture such alterations using restingstate fMRI data. Our …
Effective connectivity extracted from resting-state fMRI images using transfer entropy
Z Wu, X Chen, M Gao, M Hong, Z He, H Hong, J Shen - IRBM, 2021 - Elsevier
… resting state, helping reveal how different subregions of large-scale distributed neural networks
… within each community are dense while connections between communities are sparse. …
… within each community are dense while connections between communities are sparse. …