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Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns
2018 NeuroImage  
with fluctuations in network properties of functional connectivity, estimated over short time intervals.  ...  In this study we investigate spatiotemporal properties of time-resolved networks in the high and low modularity periods during rest, with a particular focus on their spatial connectivity patterns, temporal  ...  of time-resolved functional connectivity in the high or the low modularity period).  ... 
doi:10.1016/j.neuroimage.2017.08.044 pmid:28823827 pmcid:PMC6201264 fatcat:ru64mze5jnanbmgxyien3kwhdm

Comparison of fluctuations in global network topology of modeled and empirical brain functional connectivity

Makoto Fukushima, Olaf Sporns, Daniele Marinazzo
2018 PLoS Computational Biology  
topology or between high and low modularity topology.  ...  However, comparison of modeled and empirical data has not been conducted yet for fluctuations in global network topology of functional connectivity, such as fluctuations between segregated and integrated  ...  Acknowledgments We would like to thank Marcel A. de Reus and Martijn P. van den Heuvel for processing DWI data and constructing structural connectivity matrices.  ... 
doi:10.1371/journal.pcbi.1006497 pmid:30252835 pmcid:PMC6173440 fatcat:ravjhld6jfe6pdojyltwjn6j7a

Structural determinants of dynamic fluctuations between segregation and integration on the human connectome [article]

Makoto Fukushima, Olaf Sporns
2020 biorxiv/medrxiv   pre-print
between segregated and integrated patterns in human resting-state fMRI functional connectivity.  ...  By providing a structural account of dynamic fluctuations in functional connectivity, this study offers new insights into generative mechanisms driving temporal changes in segregation and integration in  ...  Acknowledgements We thank Marcel A. de Reus and Martijn P. van  ... 
doi:10.1101/2020.01.20.912030 fatcat:zsyrynl6zvf43iqsepr43wjc74

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain

James M Shine, Matthew J Aburn, Michael Breakspear, Russell A Poldrack
2018 eLife  
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain.  ...  This gain-mediated transition was also associated with increased topological complexity, as well as increased variability in time-resolved topological structure, further highlighting the potential computational  ...  The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. Additional information Author contributions  ... 
doi:10.7554/elife.31130 pmid:29376825 pmcid:PMC5818252 fatcat:ffmhwnqj4rgzhijlf3vprl4qqq

Multilayer network switching rate predicts brain performance

Mangor Pedersen, Andrew Zalesky, Amir Omidvarnia, Graeme D. Jackson
2018 Proceedings of the National Academy of Sciences of the United States of America  
We found (i) an inverse relationship between network switching and connectivity dynamics, where the latter was defined in terms of time-resolved fMRI connections with variance in time that significantly  ...  We calculated time-resolved fMRI connectivity in 1,003 healthy human adults from the Human Connectome Project.  ...  (E) Network switching was high in association cortices and low in primary cortices. (F) Dynamic connectivity was high in primary cortices and low in association cortices.  ... 
doi:10.1073/pnas.1814785115 pmid:30545918 pmcid:PMC6310789 fatcat:5fi4prlhnfdunfyrbyvoeyw2ai

Time-resolved resting-state brain networks

A. Zalesky, A. Fornito, L. Cocchi, L. L. Gollo, M. Breakspear
2014 Proceedings of the National Academy of Sciences of the United States of America  
We report evidence for a consistent set of functional connections that show pronounced fluctuations in their strength over time.  ...  aim of understanding how nonstationary fluctuations in pairwise interactions between regions relate to large-scale topological properties of the human brain.  ...  Fig. 2 . 2 Dynamic fluctuations are synchronized across resting-state functional brain networks, occurring at distinct moments in time, where multiple connections transition en masse between high and low  ... 
doi:10.1073/pnas.1400181111 pmid:24982140 pmcid:PMC4104861 fatcat:dfrcyksvtfc4ddv6xrz5cl4jq4

Traffic dynamic in modularity structure of complex networks

Suyong Eum, Shin'ichi Arakawa, Masayuki Murata
2008 2008 5th International Conference on Broadband Communications, Networks and Systems  
This result shows that a strong modularity structure is saturated much faster than non-modularized topology as traffic load increases, and additionally we show how this early saturation in modularized  ...  In this paper, we carry out two simulation studies to monitor traffic dynamic in modularized and non-modularized scale free networks.  ...  ACKNOWLEDGMENT This work was supported in part by a grant of Special Coordination Funds for Promoting Science and Technology: Yuragi Project from the Ministry of Education, Culture, Sports, Science and  ... 
doi:10.1109/broadnets.2008.4769114 dblp:conf/broadnets/EumAM08 fatcat:hlds4grd6jeeblhmy57krfb6jy

The modulation of neural gain facilitates a transition between functional segregation and integration in the brain [article]

James M. Shine, Matthew J. Aburn, Michael Breakspear, Russell A. Poldrack
2017 bioRxiv   pre-print
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain.  ...  This gain-mediated transition was also associated with increased topological complexity, as well as increased variability in time-resolved topological structure, further highlighting the potential computational  ...  To reduce the contamination of high---frequency 582 noise in the time---resolved connectivity data, Mij was averaged over a temporal 583 window (w = 15 time points).  ... 
doi:10.1101/182444 fatcat:q73deb7zanfgnpaqdhqv256gmy

Temporal metastates are associated with differential patterns of time-resolved connectivity, network topology, and attention

James M. Shine, Oluwasanmi Koyejo, Russell A. Poldrack
2016 Proceedings of the National Academy of Sciences of the United States of America  
These patterns were replicated in a separate longitudinal dataset, providing further supportive evidence for the presence of fluctuations in functional network topology over time.  ...  Little is currently known about the coordination of neural activity over longitudinal time-scales and how these changes relate to behavior.  ...  The data reported in this paper were made publicly available by the MyConnectome Project, the HCP, and the longitudinal Kirby dataset.  ... 
doi:10.1073/pnas.1604898113 pmid:27528672 pmcid:PMC5024627 fatcat:k6xj3u4rgbggbljtftxphg237m

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance

James M. Shine, Patrick G. Bissett, Peter T. Bell, Oluwasanmi Koyejo, Joshua H. Balsters, Krzysztof J. Gorgolewski, Craig A. Moodie, Russell A. Poldrack
2016 Neuron  
In this study, we use time-resolved network analysis of functional magnetic resonance imaging data to demonstrate that the human brain traverses between two functional states that maximize either segregation  ...  transition between these alternative modes of brain function.  ...  Acknowledgements The data reported in this paper were made publicly available by the Human Connectome Project and 1000 Functional Connectomes project.  ... 
doi:10.1016/j.neuron.2016.09.018 pmid:27693256 pmcid:PMC5073034 fatcat:iv4ec64sczcrlodkjzvfbzucpm

Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks

Richard F. Betzel, Makoto Fukushima, Ye He, Xi-Nian Zuo, Olaf Sporns
2016 NeuroImage  
periods of high and low modularity in time-varying functional connectivity.  ...  Our statistical approach allows the detection of functional connections that fluctuate more or less than expected based on their long-time averages and may be of use in future studies characterizing the  ...  RB was supported by the National Science Foundation/ Integrative Graduate Education and the Research Traineeship Training Program in the Dynamics of Brain-Body-Environment Systems at the Indiana University  ... 
doi:10.1016/j.neuroimage.2015.12.001 pmid:26687667 pmcid:PMC4755785 fatcat:l2rzkdm4ondjnfhl6hl66o5b44

Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics

Maria Pope, Makoto Fukushima, Richard F. Betzel, Olaf Sporns
2021 Proceedings of the National Academy of Sciences of the United States of America  
Empirical studies have shown that functional connectivity fluctuates over time, exhibiting patterns that vary in the spatial arrangement of correlations among segregated functional systems.  ...  As in empirical data, simulated events contribute disproportionately to long-time functional connectivity, involve recurrence of patterned cofluctuations, and can be clustered into distinct families.  ...  Empirical studies have shown that functional connectivity fluctuates over time, exhibiting patterns that vary in the spatial arrangement of correlations among segregated functional systems.  ... 
doi:10.1073/pnas.2109380118 pmid:34750261 pmcid:PMC8609635 fatcat:5nkoxre4y5a57jz24r7wcpzii4

Catecholaminergic Manipulation Alters Dynamic Network Topology Across Behavioral States [article]

James Shine, Ruud van den Brink, Dennis Hernaus, Sander Nieuwenhuis, Russell Poldrack
2017 bioRxiv   pre-print
Recent evidence suggests that this flexibility is reflected in the dynamic reorganization of the functional connectome.  ...  We tested this hypothesis by analyzing both task-free and task-based fMRI data following the administration of atomoxetine, a noradrenaline reuptake inhibitor, compared to placebo, in two separate human  ...  [1] Time---Resolved Community Structure The Louvain modularity algorithm from the Brain Connectivity Toolbox (BCT 15 was used in combination with the MTD to estimate both time---averaged and time--  ... 
doi:10.1101/169102 fatcat:365iyhm3h5aqze5yg3vqwff26y

Catecholaminergic manipulation alters dynamic network topology across cognitive states

James M. Shine, Ruud L. van den Brink, Dennis Hernaus, Sander Nieuwenhuis, Russell A. Poldrack
2018 Network Neuroscience  
Recent evidence suggests that this flexibility is reflected in the dynamic reorganization of the functional connectome.  ...  We tested this hypothesis by analyzing both resting-state and task-based fMRI data following the administration of atomoxetine, a noradrenaline reuptake inhibitor, compared with placebo, in two separate  ...  Time-resolved functional connectivity.  ... 
doi:10.1162/netn_a_00042 pmid:30294705 pmcid:PMC6145851 fatcat:zasgv2tl5nao3ev7wbr6trvpzu

Visibility graph analysis of intraspinal pressure signal predicts functional outcome in spinal cord injured patients

Suliang Chen, Mathew J. Gallagher, Florence Hogg, Marios C Papadopoulos, Samira Saadoun
2018 Journal of Neurotrauma  
George's, King's College and Royal Sussex County Hospitals for help with patient recruitment. We thank the anaesthetic, neurointensive care and operating theatre staff at St.  ...  George's for help with probe insertion and data collection. Author Disclosures No competing financial interests exist.  ...  Though we computed many topological metrics of ISP graphs, here we focus on D, Q, E and s. show examples of two ISP hourly signals and their respective graphs, one with high and one with low modularity  ... 
doi:10.1089/neu.2018.5775 pmid:30101641 fatcat:kepezpxjmzcrfp4w6jpi6jz53y
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