Gradients of structure–function tethering across neocortex

Proceedings of the National Academy of Sciences, Journal Year: 2019, Volume and Issue: 116(42), P. 21219 - 21227

Published: Sept. 30, 2019

The white matter architecture of the brain imparts a distinct signature on neuronal coactivation patterns. Interregional projections promote synchrony among distant populations, giving rise to richly patterned functional networks. A variety statistical, communication, and biophysical models have been proposed study relationship between structure function, but link is not yet known. In present report we seek relate structural connection profiles individual areas. We apply simple multilinear model that incorporates information about spatial proximity, routing, diffusion regions predict their connectivity. find structure–function relationships vary markedly across neocortex. Structure function correspond closely in unimodal, primary sensory, motor regions, diverge transmodal cortex, particularly default mode salience divergence systematically follows cytoarchitectonic hierarchies. Altogether, results demonstrate networks do align uniformly brain, gradually uncouple higher-order polysensory

Language: Английский

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The development of brain network hubs

Developmental Cognitive Neuroscience, Journal Year: 2018, Volume and Issue: 36, P. 100607 - 100607

Published: Dec. 13, 2018

Some brain regions have a central role in supporting integrated function, marking them as network hubs. Given the functional importance of hubs, it is natural to ask how they emerge during development and consider shape function maturing brain. Here, we review evidence examining both structural connectivity networks, develop over prenatal, neonate, childhood, adolescent periods. The available suggests that hubs arise prenatal period show consistent spatial topography through development, but undergo protracted consolidation extends into late adolescence. In contrast, networks more variable topography, being predominantly located primary cortical areas early before moving association by childhood. These findings suggest while basic anatomical infrastructure may be established early, viability integrative capacity these undergoes extensive postnatal maturation. Not all are with this view however. We methodological factors might drive inconsistencies, which should addressed promote rigorous investigation development.

Language: Английский

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Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review

NeuroImage, Journal Year: 2022, Volume and Issue: 249, P. 118870 - 118870

Published: Jan. 1, 2022

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced technique that enables in vivo reconstruction of the brain's white matter connections at macro scale. It provides important tool for quantitative mapping structural connectivity using measures or tissue microstructure. Over last two decades, study brain dMRI has played a prominent role neuroimaging research landscape. In this paper, we provide high-level overview how used to enable analysis health and disease. We focus on types analyses tractography, including: 1) tract-specific refers typically hypothesis-driven studies particular anatomical fiber tracts, 2) connectome-based more data-driven generally entire brain. first review methodology involved three main processing steps are common across most approaches including methods correction, segmentation quantification. For each step, aim describe methodological choices, their popularity, potential pros cons. then have matter, focusing applications neurodevelopment, aging, neurological disorders, mental neurosurgery. conclude that, while there been considerable advancements technologies breadth applications, nevertheless remains no consensus about "best" researchers should remain cautious when interpreting results clinical applications.

Language: Английский

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Integrated Value of Influence: An Integrative Method for the Identification of the Most Influential Nodes within Networks

Patterns, Journal Year: 2020, Volume and Issue: 1(5), P. 100052 - 100052

Published: June 22, 2020

Biological systems are composed of highly complex networks, and decoding the functional significance individual network components is critical for understanding healthy diseased states. Several algorithms have been designed to identify most influential regulatory points within a network. However, current methods do not address all topological dimensions or correct inherent positional biases, which limits their applicability. To overcome this computational deficit, we undertook statistical assessment 200 real-world simulated networks decipher associations between centrality measures developed an algorithm termed Integrated Value Influence (IVI), integrates important commonly used in unbiased way. When compared against 12 other contemporary node identification on ten different IVI outperformed assessed methods. Using versatile method, researchers can now nodes.

Language: Английский

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Signal propagation via cortical hierarchies

Network Neuroscience, Journal Year: 2020, Volume and Issue: 4(4), P. 1072 - 1090

Published: Jan. 1, 2020

The wiring of the brain is organized around a putative unimodal-transmodal hierarchy. Here we investigate how this intrinsic hierarchical organization shapes transmission information among regions. positioning individual regions was quantified by applying diffusion map embedding to resting-state functional MRI networks. Structural networks were reconstructed from spectrum imaging and topological shortest paths all computed. Sequences nodes encountered along path then labeled their position, tracing out motifs. We find that cortical hierarchy guides communication in network. Specifically, are more likely forward signals closer cover range unimodal transmodal regions, potentially enriching or diversifying en route. also evidence systematic detours, particularly attention networks, where rerouted. Altogether, present work highlights signal exchange imparts behaviorally relevant patterns

Language: Английский

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Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network

Reliability Engineering & System Safety, Journal Year: 2022, Volume and Issue: 226, P. 108578 - 108578

Published: May 16, 2022

Language: Английский

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The dynamics of an online learning community in a hybrid statistics classroom over time: Implications for the question-oriented problem-solving course design with the social network analysis approach

Computers & Education, Journal Year: 2021, Volume and Issue: 166, P. 104120 - 104120

Published: Jan. 2, 2021

Language: Английский

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Linking the network centrality measures closeness and degree

Communications Physics, Journal Year: 2022, Volume and Issue: 5(1)

Published: July 2, 2022

Abstract Measuring the importance of nodes in a network with centrality measure is an core task any application. There many measures available and it speculated that encode similar information. We give explicit non-linear relationship between two most popular node centrality: degree closeness. Based on shortest-path tree approximation, we analytic derivation shows inverse closeness linearly dependent logarithm degree. show our hypothesis works well for range networks produced from stochastic models derived 130 real-world data sets. connect results previous other distance scales such as average distance. Our imply measuring broadly redundant unless used to remove dependence The success suggests can be approximated by spanning trees which are all statistically or more steps away their root nodes.

Language: Английский

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Obesity is associated with a distinct brain-gut microbiome signature that connects Prevotella and Bacteroides to the brain’s reward center

Gut Microbes, Journal Year: 2022, Volume and Issue: 14(1)

Published: March 20, 2022

The prevalence of obesity has risen to its highest values over the last two decades. While many studies have either shown brain or microbiome connections obesity, few attempted analyze brain-gut-microbiome relationship in a large cohort adjusting for cofounders. Therefore, we aim explore connection axis controlling such cofounders as sex, race, and diet. Whole resting state functional MRI was acquired, connectivity network properties were calculated. Fecal samples obtained from 287 obese non-obese participants (males n = 99, females 198) 16s rRNA profiling fecal metabolites, along with validated dietary questionnaire. Obesity associated alterations brain's reward (nucleus accumbens, brainstem). Microbial diversity (p .03) composition differed by independent an increase

Language: Английский

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Comparative evaluation of community-aware centrality measures

Quality & Quantity, Journal Year: 2022, Volume and Issue: 57(2), P. 1273 - 1302

Published: May 10, 2022

Language: Английский

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