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Space-independent community and hub structure of functional brain networks

Farnaz Zamani Esfahlani, Maxwell A. Bertolero, Danielle S. Bassett, Richard F. Betzel
2020 NeuroImage  
We use this method to characterize the long-distance architecture of functional networks and to identify aspects of community and hub structure that are driven by long-distance correlations and that, we  ...  The results presented here inform future analyses of community structure and network hubs in health, across development, and in the case of neuropsychiatric disorders.  ...  DISCUSSION In this report, we analyzed the contributions of longdistance connectivity to the community and hub structure of functional brain networks. To do this, we de- FIG. 5.  ... 
doi:10.1016/j.neuroimage.2020.116612 pmid:32061801 pmcid:PMC7104557 fatcat:6x4pw7ev3fcnrewm22oib7tyta

Space-independent community and hub structure of functional brain networks [article]

Farnaz Zamani Esfahlani, Maxwell A. Bertolero, Danielle S. Bassett, Richard F. Betzel
2019 bioRxiv   pre-print
We use this method to characterize the long-distance architecture of functional networks and to identify aspects of community and hub structure that are driven by long-distance correlations and that, we  ...  The results presented here inform future analyses of community structure and network hubs in health, across development, and in the case of neuropsychiatric disorders.  ...  DISCUSSION In this report, we analyzed the contributions of longdistance connectivity to the community and hub structure of functional brain networks.  ... 
doi:10.1101/590935 fatcat:glvdvqut4rea3p724d7qh47lri

Differentially Categorized Structural Connectome Hubs are Involved in Differential Microstructural Basis and Functional Implications and Contribute to Individual Identification [article]

Xindi Wang, Qixiang Lin, Mingrui Xia, Yong He
2016 arXiv   pre-print
Human brain structural networks contain sets of centrally embedded hub regions that enable efficient information communication.  ...  We found three categories of structural hubs in the brain networks, namely, aggregated, distributed and connector hubs.  ...  Acknowledgments We would like to thank Drs Xuhong Liao, Miao Cao, Zhengjia Dai and Yuhan Chen for their insightful suggestions and Dr. Ruiwang Huang for kind help in the collection of MRI data.  ... 
arXiv:1609.03372v1 fatcat:ms7qohvndvbore2tfnm6o7z7my

Wiring cost and topological participation of the mouse brain connectome

Mikail Rubinov, Rolf J. F. Ypma, Charles Watson, Edward T. Bullmore
2015 Proceedings of the National Academy of Sciences of the United States of America  
These "high-participation" hubs mediated communication between functionally specialized and anatomically localized network modules and were associated with high expression of genes involved in cognitive  ...  High-participation hubs of this connectome mediated communication between functionally specialized and anatomically localized modules, had especially high wiring costs, and closely corresponded to regions  ...  These "high-participation" hubs mediated communication between functionally specialized and anatomically localized network modules and were associated with high expression of genes involved in cognitive  ... 
doi:10.1073/pnas.1420315112 pmid:26216962 pmcid:PMC4538676 fatcat:5vbiqs67evbrdl6pnxpow4j55y

Mesoscopic architecture enhances communication across the Macaque connectome revealing structure-function correspondence in the brain [article]

Anand Pathak, Shakti N. Menon, Sitabhra Sinha
2020 arXiv   pre-print
Analyzing the brain in terms of organizational structures at intermediate scales provides an approach to negotiate the complexity arising from interactions between its large number of components.  ...  By supplementing the topological information about the Macaque connectome with physical locations, volumes and functions of the constituent areas and analyzing this augmented dataset, we reveal a counter-intuitive  ...  Space-independent partitioning of the network into communities.  ... 
arXiv:2007.14941v1 fatcat:l3y373z4mrgorgruss27oulnbi

Three Distinct Sets of Connector Hubs Integrate Human Brain Function

Evan M. Gordon, Charles J. Lynch, Caterina Gratton, Timothy O. Laumann, Adrian W. Gilmore, Deanna J. Greene, Mario Ortega, Annie L. Nguyen, Bradley L. Schlaggar, Steven E. Petersen, Nico U.F. Dosenbach, Steven M. Nelson
2018 Cell Reports  
This work suggests a model of brain organization in which different connector hubs integrate control functions and enable top-down control of separate processing streams.  ...  We identified three separable sets of connector hubs that integrate information between specific brain networks.  ...  Hub category thus appears to be an additional organizational principle that influences brain function independently of network membership.  ... 
doi:10.1016/j.celrep.2018.07.050 pmid:30110625 pmcid:PMC6886580 fatcat:54u6rdblcbdetjymhmgag3wpbm

Individual Topological Analysis of Synchronization-Based Brain Connectivity

Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
2020 Applied Sciences  
Functional connectivity analysis aims at assessing the strength of functional coupling between the signal responses in distinct brain areas.  ...  The synchronization metric is also compared with Pearson's correlation coefficient and spectral coherence to highlight similarities and differences between the topologies of the three functional networks  ...  We performed a modularity analysis to determine the most representative community structure of each functional network across sections and compare them as explained in Section 3.2.1.  ... 
doi:10.3390/app10093275 fatcat:wx5aypli7zcphfq53wd5z4gjly

A Hybrid Communication Pattern in Brain Structural Network Revealed by Evolutionary Computation [article]

Quanmin Liang, Junji Ma, Xitian Chen, Zhengjia Dai, Ying Lin
2021 bioRxiv   pre-print
SummaryThe human brain functional connectivity network (FCN) is constrained and shaped by the information communication processes in the structural connectivity network (SCN).  ...  In this study, we developed a novel communication model that allowed each brain region to choose a routing strategy from SP, DIF, and NAV independently.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.1101/2021.11.25.469862 fatcat:lhopy7uz25gjngktdpsstzkpwq

Community detection in weighted brain connectivity networks beyond the resolution limit

Carlo Nicolini, Cécile Bordier, Angelo Bifone
2017 NeuroImage  
Graph theory provides a powerful framework to investigate brain functional connectivity networks and their modular organization.  ...  Surprise, a resolution-limit-free function rooted in discrete probability theory, has been recently introduced and applied to brain networks, revealing a wide size-distribution of functional modules (Nicolini  ...  Edward Bullmore and Prof. Nicholas Crossley for providing data and templates, and Prof. Pasquina Marzola for her continuing support.  ... 
doi:10.1016/j.neuroimage.2016.11.026 pmid:27865921 pmcid:PMC5312822 fatcat:ugftqbh2dfc2bdsizdhaqhoos4

Network structure of the mouse brain connectome with voxel resolution [article]

Ludovico Coletta, Marco Pagani, Jennifer D Whitesell, Julie A Harris, Boris Bernhardt, Alessandro Gozzi
2020 bioRxiv   pre-print
We describe a set of structural communities that spatially reconstitute previously described fMRI networks of the mouse brain, and document that neuromodulatory nuclei are strategically wired as critical  ...  Here we provide a voxel-level description of the network and hierarchical structure of the directed mouse connectome, unconstrained by regional partitioning.  ...  (B) Structural communities anatomically recapitulate functional (rsfMRI) networks of the mouse brain.  ... 
doi:10.1101/2020.03.06.973164 fatcat:sovhwoobavey3fd6ejewgbro7m

Ranking of communities in multiplex spatiotemporal models of brain dynamics

James B. Wilsenach, Catherine E. Warnaby, Charlotte M. Deane, Gesine D. Reinert
2022 Applied Network Science  
and within dynamic brain state communities.  ...  We produce a new tool for determining important communities of brain regions using a spatiotemporal random walk-based procedure that takes advantage of the underlying Markov structure of the model.  ...  We are grateful to the attendees and organisers of the Communities in Networks conference, where this work was originally presented, for the opportunity to contribute to this Special Issue.  ... 
doi:10.1007/s41109-022-00454-2 pmid:35308059 pmcid:PMC8921068 fatcat:u3mvhbefk5foho5mbgtdgl35wq

Frequency-specific network topologies in the resting human brain

Shuntaro Sasai, Fumitaka Homae, Hama Watanabe, Akihiro T. Sasaki, Hiroki C. Tanabe, Norihiro Sadato, Gentaro Taga
2014 Frontiers in Human Neuroscience  
It has been shown that both "communities" and "hubs" exist simultaneously in the brain's functional connectivity network (FCN), as estimated by correlations among low-frequency spontaneous fluctuations  ...  Thus, depending on the timescale of brain activity, at least two distinct network topologies contributed to information segregation and integration.  ...  Toru Nakamura and Dr. Masanori Shimono for helpful comments on analytical procedures. This work was partly supported by Grants-in-Aid for the Japan Society for  ... 
doi:10.3389/fnhum.2014.01022 pmid:25566037 pmcid:PMC4273625 fatcat:uvbgnoqpufcczohw4nym4vso7e

Dynamic Functional Brain Reconfiguration During Sustained Pain [article]

Jae-Joong Lee, Sungwoo Lee, Dong Hee Lee, Choong-Wan Woo
2021 bioRxiv   pre-print
Machine-learning models based on these dynamic network features showed significant predictions of changes in pain experience across two independent datasets (n = 48 and 74).  ...  Here, we investigated the dynamic changes in the functional brain networks during 20-min capsaicin-induced sustained orofacial pain.  ...  Community detection of time-evolving brain networks To examine the dynamic reconfiguration of the whole-brain functional networks, we used a multi-layer community detection approach (Mucha et al., 2010  ... 
doi:10.1101/2021.10.16.464642 fatcat:iac72s3i4jbtzlmry6hl4lrssy

Network structure of the mouse brain connectome with voxel resolution

Ludovico Coletta, Marco Pagani, Jennifer D. Whitesell, Julie A. Harris, Boris Bernhardt, Alessandro Gozzi
2020 Science Advances  
of neuromodulatory nuclei as connector hubs and critical orchestrators of network communication.  ...  Here, we provide a voxel-level description of the network and hierarchical structure of the directed mouse connectome, unconstrained by regional partitioning.  ...  The Voronoi resampled structural connectome and all functional and structural maps are available for download at http://dx.doi.org/10.17632/dxtzpvv83k.2.  ... 
doi:10.1126/sciadv.abb7187 pmid:33355124 fatcat:5arpvn4fkfegdpksl2s6jtm2x4

Isolated Focal Dystonia as a Disorder of Large-Scale Functional Networks

Giovanni Battistella, Pichet Termsarasab, Ritesh A. Ramdhani, Stefan Fuertinger, Kristina Simonyan
2015 Cerebral Cortex  
We examined topology as well as the global and local features of large-scale functional brain networks across different forms of isolated focal dystonia, including patients with task-specific (TSD) and  ...  community, loss of a pivotal region of information transfer (hub) in the premotor cortex, and pronounced connectivity reduction within the sensorimotor and frontoparietal regions.  ...  Conflict of Interest: None declared.  ... 
doi:10.1093/cercor/bhv313 pmid:26679193 pmcid:PMC6075177 fatcat:innmgpixlndr3e7tlzkqklin4q
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