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Journal ArticleDOI

Exploring the brain network: A review on resting-state fMRI functional connectivity

TLDR
The use of spontaneous resting-state fMRI in determining functional connectivity, how functional connections tend to be related to structural connections in the brain network and how functional brain communication may form a key role in cognitive performance are discussed.
About
This article is published in European Neuropsychopharmacology.The article was published on 2010-08-01. It has received 2763 citations till now. The article focuses on the topics: Resting state fMRI & Functional integration (neurobiology).

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Citations
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Journal ArticleDOI

Network hubs in the human brain

TL;DR: Combining data from numerous empirical and computational studies, network approaches strongly suggest that brain hubs play important roles in information integration underpinning numerous aspects of complex cognitive function.
Journal ArticleDOI

Modern network science of neurological disorders

TL;DR: Modern network science has revealed fundamental aspects of normal brain-network organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and rich clubs, to use to gain a better understanding of brain disease.
Journal ArticleDOI

The effects of childhood maltreatment on brain structure, function and connectivity

TL;DR: This Review explores whether these alterations reflect toxic effects of early-life stress or potentially adaptive modifications, the relationship between psychopathology and brain changes, and the distinction between resilience, susceptibility and compensation.
Journal ArticleDOI

Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

Yasser Iturria-Medina, +314 more
TL;DR: Imaging results suggest that intra-brain vascular dysregulation is an early pathological event during disease development, suggesting early memory deficit associated with the primary disease factors.
Journal ArticleDOI

Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis

TL;DR: The majority of the most discriminating functional connections were located within or across the default mode network, affective network, visual cortical areas and cerebellum, thereby indicating that the disease-related resting-state network alterations may give rise to a portion of the complex of emotional and cognitive disturbances in major depression.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Journal ArticleDOI

A default mode of brain function.

TL;DR: A baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF is identified, suggesting the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
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Complex brain networks: graph theoretical analysis of structural and functional systems

TL;DR: This article reviews studies investigating complex brain networks in diverse experimental modalities and provides an accessible introduction to the basic principles of graph theory and highlights the technical challenges and key questions to be addressed by future developments in this rapidly moving field.
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Complex network measures of brain connectivity: uses and interpretations.

TL;DR: Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
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