Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities

R Wang, M Liu, X Cheng, Y Wu… - Proceedings of the …, 2021 - National Acad Sciences
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 …

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…

[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

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 …

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 …

Identification of homogeneous subgroups from resting-state fMRI data

H Yang, T Vu, Q Long, V Calhoun, T Adali - Sensors, 2023 - mdpi.com
… 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

Altered functional activity in bipolar disorder: A comprehensive review from a largescale 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 …

[HTML][HTML] Spatiotemporal functional interactivity among large-scale brain networks

N Xu, PC Doerschuk, SD Keilholz, RN Spreng - NeuroImage, 2021 - Elsevier
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

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 …

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. …