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Optimization of graph construction can significantly increase the power of structural brain network studies [article]

Eirini Messaritaki, Stavros I Dimitriadis, Derek K Jones
2019 bioRxiv   pre-print
Schemes used to construct the graphs that represent the structural brain networks differ in the metrics they use as edge weights and the algorithms they use to define the network topologies.  ...  Structural brain networks derived from diffusion magnetic resonance imaging data have been used extensively to describe the human brain, and graph theory has allowed quantification of their network properties  ...  The point is clear, however, that it is very much worth looking into the optimal scheme for graph construction for each study, because such an investigation can yield a significant gain in the power of  ... 
doi:10.1101/553743 fatcat:uo3t7z2mejgpphjxdz22ng3ije

Optimization of graph construction can significantly increase the power of structural brain network studies

Eirini Messaritaki, Stavros I. Dimitriadis, Derek K. Jones
2019 NeuroImage  
Schemes used to construct the graphs that represent the structural brain networks differ in the metrics they use as edge weights and the algorithms they use to define the network topologies.  ...  the power of studies to reveal the effects of interest.  ...  We would also like to thank the two anonymous reviewers for making constructive comments that led to the improvement of the paper, and the Editor for handling our manuscript.  ... 
doi:10.1016/j.neuroimage.2019.05.052 pmid:31176831 pmcid:PMC6693529 fatcat:2jzd45uejrcdjgquostsqgm3ga

Network models of massive datasets

Vladimir Boginski, Sergiy Butenko, Panos Pardalos
2004 Computer Science and Information Systems  
We also point out that graphs representing datasets coming from diverse practical fields have a similar power-law structure, which indicates that the global organization and evolution of massive datasets  ...  We give a brief overview of the methodology of modeling massive datasets arising in various applications as networks.  ...  This property implies that the power-law structure of a certain network should not depend on of the size of the network.  ... 
doi:10.2298/csis0401075b fatcat:zdtlksl5hjdm3csgzgf2rnweuu

A review of structural and functional brain networks: small world and atlas

Zhijun Yao, Bin Hu, Yuanwei Xie, Philip Moore, Jiaxiang Zheng
2015 Brain Informatics  
Brain networks can be divided into two categories: structural and functional networks.  ...  In the study of brain networks, nodes are always determined by atlases.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s40708-015-0009-z pmid:27747502 pmcid:PMC4883160 fatcat:oh4pmoo5tjbpvdfdmqieykch6u

Graph-based network analysis of resting-state functional MRI

Jinhui Wang
2010 Frontiers in Systems Neuroscience  
Specifically, the topological organization of brain networks has been recently studied with graph theory.  ...  In this review, we will summarize the recent advances in graph-based brain network analyses of R-fMRI signals, both in typical and atypical populations.  ...  Once these two basic elements of a network, nodes and edges, are extracted from the dataset, the constructed brain connectivity network can be further characterized using graph theoretical approaches.  ... 
doi:10.3389/fnsys.2010.00016 pmid:20589099 pmcid:PMC2893007 fatcat:iqwisy6vindatgzaetzcjvn3fu

Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions

Xintao Hu, Dajiang Zhu, Peili Lv, Kaiming Li, Junwei Han, Lihong Wang, Dinggang Shen, Lei Guo, Tianming Liu
2013 Neuroinformatics  
Current studies on functional brain networks and their alterations in brain diseases via restingstate functional magnetic resonance imaging (rs-fMRI) are generally either at local scale (regionally confined  ...  distinctiveness of the derived FGFI features.  ...  Acknowledgements T Liu was supported by the NIH K01 EB 006878, NIH R01 HL087923-03S2, NIH R01 DA033393, NSF CA-REER Award IIS-1149260, and The University of Georgia start-up research funding.  ... 
doi:10.1007/s12021-013-9177-2 pmid:23319242 pmcid:PMC4030009 fatcat:kuxqmt2z2rgklhhmj5b3qxhwym

Mapping the Alzheimer's Brain with Connectomics

Teng Xie, Yong He
2012 Frontiers in Psychiatry  
In this review we will summarize recent advances discovered in large-scale brain network studies of AD, mainly focusing on graph theoretical analysis of brain connectivity abnormalities.  ...  Using these powerful approaches, several recent studies of patients with AD exhibited abnormal topological organization in both global and regional properties of neuronal networks, indicating that AD not  ...  The brain networks in AD showed increased C p and L p compared with those of healthy adults, indicating a less optimal topological structure.  ... 
doi:10.3389/fpsyt.2011.00077 pmid:22291664 pmcid:PMC3251821 fatcat:awzfirvjunfvtomowr3vvge4k4

Relating Connectivity and Graph Analysis to Cognitive Function in Alzheimer's Disease

Hunter C. Gits
2016 Michigan Journal of Medicine  
Using a variety of imaging techniques to construct networks, researchers have used graph analysis to demonstrate changes in the brains of patients with Alzheimer's disease, including losses in efficiency  ...  Graph analysis is an emerging technique that describes networks in terms of different properties, and the concepts may be applied readily to human brain networks.  ...  Acknowledgments The author would like to thank JJG Geurts, MM Schoonheim, and AM Wink for their support and revision of an earlier version of this work.  ... 
doi:10.3998/mjm.13761231.0001.111 fatcat:uut537zeybbdldzdy33fpabqte

Growing Homophilic Networks Are Natural Navigable Small Worlds

Yury A. Malkov, Alexander Ponomarenko, Satoru Hayasaka
2016 PLoS ONE  
Several features of the model are observed in real-life networks, in particular in the brain neural networks, supporting the earlier suggestions that they are navigable.  ...  We show that navigability can be achieved by using only two ingredients present in the majority of networks: network growth and local homophily, giving a persuasive answer how the navigation appears in  ...  Nekorkin for the discussions. The reported study was funded by RFBR, according to the research project No. 16-31-60104 mol_а_dk.  ... 
doi:10.1371/journal.pone.0158162 pmid:27348120 pmcid:PMC4922669 fatcat:54jy6p7lk5fwvpzmktbri4xfwe

Resiliency of EEG-Based Brain Functional Networks

Mahdi Jalili, Michal Zochowski
2015 PLoS ONE  
Applying tools available in network science and graph theory to study brain networks has opened a new era in understanding brain mechanisms.  ...  As the network structure was extracted, we measured a number of metrics related to their resiliency.  ...  Graph theory tools have been extensively applied to the signals recorded from the brain [4, 5] . The brain can be described as a networked structure at both micro and macro levels.  ... 
doi:10.1371/journal.pone.0135333 pmid:26295341 pmcid:PMC4546659 fatcat:lxg7sxoq4feslnekp73wumr47q

Efficient small-world and scale-free functional brain networks at rest using k-nearest neighbors thresholding [article]

Caroline Garcia Forlim, Siavash Haghiri, Sandra Duezel, Simone Kuehn
2019 bioRxiv   pre-print
Yet, one of the challenging questions in the field is how to construct brain networks based on the connectivity values derived from neuroimaging methods.  ...  The topology of networks was characterized by the graph measures degree, characteristic path length, clustering coefficient and small world.  ...  The authors thank Ulrike von Luxburg and Debarghya Goshdastidar for the discussions and comments.  ... 
doi:10.1101/628453 fatcat:buasa2zturcn3jw3uftorsiqiq

GAT: A Graph-Theoretical Analysis Toolbox for Analyzing Between-Group Differences in Large-Scale Structural and Functional Brain Networks

S. M. Hadi Hosseini, Fumiko Hoeft, Shelli R. Kesler, Renaud Lambiotte
2012 PLoS ONE  
In recent years, graph theoretical analyses of neuroimaging data have increased our understanding of the organization of large-scale structural and functional brain networks.  ...  In this report, we describe the development of a graph-analysis toolbox (GAT) that facilitates analysis and comparison of structural and functional network brain networks.  ...  Conceived and designed the experiments: HH SK. Performed the experiments: SK. Analyzed the data: HH FH SK. Contributed reagents/ materials/analysis tools: HH SK. Wrote the paper: HH FH SK.  ... 
doi:10.1371/journal.pone.0040709 pmid:22808240 pmcid:PMC3396592 fatcat:4tz7evmhfrh2tg7oclja57vh4q

Sensitivity analysis of human brain structural network construction

Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton, Jean M. Carlson
2017 Network Neuroscience  
Our work serves as a guideline for researchers to optimize the selection of tractography parameters and illustrates how biological characteristics of the brain derived in network neuroscience studies can  ...  We further discuss how the dependency of graph metric ranks can affect the brain characteristics derived in group comparison studies using network neuroscience techniques.  ...  Given the promising power of whole-brain network modeling, the Human Connectome Project (HCP) was designed to enable comprehensive studies of the human brain structural circuitry and its relationship to  ... 
doi:10.1162/netn_a_00025 pmid:30090874 pmcid:PMC6063716 fatcat:yfaxwjs4hzgntggnkcfu77kl3m

Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Evelyn Tang, Chad Giusti, Graham L. Baum, Shi Gu, Eli Pollock, Ari E. Kahn, David R. Roalf, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite (+1 others)
2017 Nature Communications  
We find that all brain networks are structured in a manner highly optimized for network control, with distinct control mechanisms predicted in child versus older youth.  ...  This work reveals a possible mechanism of human brain development that preferentially optimizes dynamic network control over static network architecture.  ...  Scripts to calculate the controllability metrics can be found at for public use.  ... 
doi:10.1038/s41467-017-01254-4 pmid:29093441 pmcid:PMC5665937 fatcat:echxtaar2rablfmcotiq5jhqly

Disrupted Brain Network in Children with Autism Spectrum Disorder

Ke Zeng, Jiannan Kang, Gaoxiang Ouyang, Jingqing Li, Junxia Han, Yao Wang, Estate M. Sokhadze, Manuel F. Casanova, Xiaoli Li
2017 Scientific Reports  
This study investigated whether and how the brain networks in children with ASD were abnormally organized with resting state EEG.  ...  The altered brain network may offer an insight into the underlying pathology of ASD and possibly serve as a biomarker that may aid in diagnosis of ASD.  ...  Casanova wrote the paper. All authors have read and approved the final published manuscript. Additional Information  ... 
doi:10.1038/s41598-017-16440-z pmid:29176705 pmcid:PMC5701151 fatcat:u7zfxkalfjewvc7fdkl4x6qfrm
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