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Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

2013 Network Science  
Comparing the community structure to observed resting-state functional connectivity revealed communities across a broad range of dynamical scales that were closely related to functional connectivity.  ...  The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions.  ...  The first aim consists of detecting and characterizing the multi-scale community structure of the human connectome using the partition stability framework.  ... 
doi:10.1017/nws.2013.19 fatcat:f3h2zoz6sngn3cwwnpqpe52sjm

Cerebral cartography and connectomics

O. Sporns
2015 Philosophical Transactions of the Royal Society of London. Biological Sciences  
whole-brain connectivity to cellular-scale networks, and the mapping of structure/function relations in empirical recordings and computational models.  ...  Cerebral cartography and connectomics pursue similar goals in attempting to create maps that can inform our understanding of the structural and functional organization of the cortex.  ...  In the human brain, direct comparisons of resting-state functional connectivity and structural connectivity (connectome) networks have revealed robust and reproducible statistical relationships, lending  ... 
doi:10.1098/rstb.2014.0173 pmid:25823870 pmcid:PMC4387514 fatcat:p43fa5pg4vg7zg2wlbh6dkh5vm

Connectome Networks: From Cells to Systems [chapter]

Olaf Sporns
2016 Micro-, Meso- and Macro-Connectomics of the Brain  
Nervous systems are networks of neurons and brain regions that are structurally interconnected and dynamically linked in complex patterns. As map-  ...  any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.  ...  McDonnell Foundation Open Access This chapter is distributed under the terms of the Creative Commons Attribution-Noncommercial 2.5 License ( which permits  ... 
doi:10.1007/978-3-319-27777-6_8 fatcat:ge3asgosr5gl5m7l2nxha2gc2u

Inferring neural signalling directionality from undirected structural connectomes

Caio Seguin, Adeel Razi, Andrew Zalesky
2019 Nature Communications  
To date, investigation of directional communication in the human structural connectome has been precluded by the inability of non-invasive neuroimaging methods to resolve axonal directionality.  ...  Here, we demonstrate that decentralized measures of network communication, applied to the undirected topology and geometry of brain networks, can infer putative directions of large-scale neural signalling  ...  Code availability Functions to compute navigation efficiency, diffusion efficiency and search information are available as part of the Brain Connectivity Toolbox ( bctnet/  ... 
doi:10.1038/s41467-019-12201-w pmid:31537787 pmcid:PMC6753104 fatcat:f7lbcsb4incjlhihsicthovun4

Connectomic consistency: a systematic stability analysis of structural and functional connectivity [article]

Yusuf Osmanlıoğlu, Jacob A. Alappatt, Drew Parker, Ragini Verma
2019 bioRxiv   pre-print
We present a comprehensive study of consistency in structural and resting-state functional connectomes both for a single subject examined longitudinally and across a large cohort of subjects cross-sectionally  ...  Our results demonstrate varying degrees of consistency for the two modalities, with structural connectomes showing higher consistency than functional connectomes.  ...  Acknowledgments This work was supported by the National Institutes of Health (NIH 1R01MH117807-01A1).  ... 
doi:10.1101/862730 fatcat:lc3qdmop5fheliq2dyeousoaba

Mapping the Connectome: Multi-Level Analysis of Brain Connectivity

Trygve B. Leergaard, Claus C. Hilgetag, Olaf Sporns
2012 Frontiers in Neuroinformatics  
AdvAnces in multi-level connectivity mApping Sophisticated neuroimaging techniques have opened up new possibilities to infer structural and functional connectivity at a macroscopic scale.  ...  Several of relationships between brain structure and function. The ways in which connectome data are used will to a large extent also dictate priorities for data collection and assembly.  ... 
doi:10.3389/fninf.2012.00014 pmid:22557964 pmcid:PMC3340894 fatcat:y6yhuz2wkffyboytd6g5f3a264

MR connectomics: Principles and challenges

Patric Hagmann, Leila Cammoun, Xavier Gigandet, Stephan Gerhard, P. Ellen Grant, Van Wedeen, Reto Meuli, Jean-Philippe Thiran, Christopher J. Honey, Olaf Sporns
2010 Journal of Neuroscience Methods  
In the present work we review the current methods enabling structural connectivity mapping with MRI and show how such data can be used to infer new information of both brain structure and function.  ...  MR connectomics is an emerging framework in neuro-science that combines diffusion MRI and whole brain tractography methodologies with the analytical tools of network science.  ...  Acknowledgments This work is supported by the Swiss National Science Foundation, the Center for Biomedical Imaging (CIBM) of the Geneva -Lausanne Universities and the EPFL, and the foundations Leenaards  ... 
doi:10.1016/j.jneumeth.2010.01.014 pmid:20096730 fatcat:kokjv5hzyje43nhd32ko6hqyse

Network neuroscience and the connectomics revolution [article]

Richard Betzel
2020 arXiv   pre-print
In this chapter, we review the core concepts of human connectomics at the macroscale.  ...  Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal populations, and macroscopic  ...  Structural basis of activity and connectivity One of the central questions in biology concerns the relationship of an organism structure with the kinds of functions it can perform.  ... 
arXiv:2010.01591v1 fatcat:zp3xhlgidzbstl4ni2jqhoz3qu

Connectomics and new approaches for analyzing human brain functional connectivity

R Cameron Craddock, Rosalia L Tungaraza, Michael P Milham
2015 GigaScience  
The number and complexity of functional interactions within the connectome and the large amounts of data required to study them position functional connectivity research as a "big data" problem.  ...  Maximizing the degree to which knowledge about human brain function can be extracted from the connectome will require developing a new generation of neuroimaging analysis algorithms and tools.  ...  Acknowledgements The authors would like to thank the reviewers, Dr. Anders Eklund and Dr. Xin Di for their useful comments, which improved the manuscript.  ... 
doi:10.1186/s13742-015-0045-x pmid:25810900 pmcid:PMC4373299 fatcat:5rmlp74mbffudp7ipo4sgobxea

Multi-scale integration and predictability in resting state brain activity

Artemy Kolchinsky, Martijn P. van den Heuvel, Alessandra Griffa, Patric Hagmann, Luis M. Rocha, Olaf Sporns, Joaquín Goñi
2014 Frontiers in Neuroinformatics  
This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity.  ...  We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brain, and which resemble previously reported resting-state networks.  ...  Betzel and Andrea Avena-Koenigsberger for useful comments and discussions.  ... 
doi:10.3389/fninf.2014.00066 pmid:25104933 pmcid:PMC4109611 fatcat:onpa5fkgy5gj7m4kr76so77nxu

The Structural and Functional Connectome and Prediction of Risk for Cognitive Impairment in Older Adults

Joey A. Contreras, Joaquín Goñi, Shannon L. Risacher, Olaf Sporns, Andrew J. Saykin
2015 Current Behavioral Neuroscience Reports  
The human connectome refers to a comprehensive description of the brain's structural and functional connections in terms of brain networks.  ...  As the field of brain connectomics has developed, data acquisition, subsequent processing and modeling, and ultimately the representation of the connectome have become better defined and integrated with  ...  and low functional coherence with the rest of the system.  ... 
doi:10.1007/s40473-015-0056-z pmid:27034914 pmcid:PMC4809258 fatcat:56knflkfyjhnph3dxvlcnlfp6y

Human connectomics

Timothy EJ Behrens, Olaf Sporns
2012 Current Opinion in Neurobiology  
The combination of structural and functional connectivity has begun to reveal key patterns of human brain organization, such as the existence of distinct modules or sub-networks that become engaged in  ...  Collectively, advances in human connectomics open up the possibility of studying how brain connections mediate regional brain function and thence behaviour.  ...  regions, the relation of structural to functional connections, and the use of network analysis measures to quantitatively characterize the architecture of the human connectome.  ... 
doi:10.1016/j.conb.2011.08.005 pmid:21908183 pmcid:PMC3294015 fatcat:3ivb6cw6vrhrjksrp2faxrq5lm

Developmental Connectomics from Infancy through Early Childhood

Miao Cao, Hao Huang, Yong He
2017 Trends in Neurosciences  
A newly emerging research framework, developmental connectomics, provides unprecedented opportunities for exploring the developing brain through non-invasively mapping structural and functional connectivity  ...  The human brain undergoes rapid growth in both structure and function from infancy through early childhood, which significantly influences cognitive and behavioral development in later life.  ...  Acknowledgments We would like to thank Dr Wei Gao and Dr Xuhong Liao for their insightful comments on the manuscript.  ... 
doi:10.1016/j.tins.2017.06.003 pmid:28684174 pmcid:PMC5975640 fatcat:gajoephxlbc2ra5ui6l4yiazlu

Multiscale communication in cortico-cortical networks [article]

Vincent Bazinet, Reinder Vos de Wael, Patric Hagmann, Boris C Bernhardt, Bratislav Misic
2020 bioRxiv   pre-print
We find that the centrality of a brain region varies across scales and that connection diversity determines scale preference, with less diverse unimodal regions showing preference for local communication  ...  These preferences manifest as scale-specific structure-function relationships, with unimodal areas showing optimal coupling at local scales and multimodal regions showing optimal coupling at global scales  ...  ACKNOWLEDGMENTS and DISCLOSURES [1] Abdelnour, F., Voss, H. U., and Raj, A. (2014). Network diffusion accurately models the relationship between structural and functional brain connectivity networks.  ... 
doi:10.1101/2020.10.02.323030 fatcat:mi4ighz5qfgepbssiz22csbona

NWS volume 1 issue 3 Cover and Back matter

2013 Network Science  
Social networks and labor market inequality between ethnicities and races ott toomet, marco van der leij and meredith rolfe 321 Multi-scale community organization of the human structural connectome and  ...  its relationship with resting-state functional connectivity richard f. betzel, alessandra griffa, andrea avena-koenigsberger, joaquín goñi, jean-philippe thiran, patric hagmann and olaf sporns 353  ... 
doi:10.1017/nws.2013.23 fatcat:kh2dk7br7bch7mpywondqw4c7i
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