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Functional connectomics from resting-state fMRI

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TLDR
The use of resting-state functional MRI for the purpose of mapping the macroscopic functional connectome is reviewed and MRI acquisition and image-processing methods commonly used to generate data in a form amenable to connectomics network analysis are described.
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This article is published in Trends in Cognitive Sciences.The article was published on 2013-12-01 and is currently open access. It has received 825 citations till now. The article focuses on the topics: Connectome & Connectomics.

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Citations
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A multi-modal parcellation of human cerebral cortex

TL;DR: Using multi-modal magnetic resonance images from the Human Connectome Project and an objective semi-automated neuroanatomical approach, 180 areas per hemisphere are delineated bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults.
Journal ArticleDOI

Functional and effective connectivity: a review.

TL;DR: The inception of this journal has been foreshadowed by an ever-increasing number of publications on functional connectivity, causal modeling, connectomics, and multivariate analyses of distributed patterns of brain responses.
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Intrinsic and Task-Evoked Network Architectures of the Human Brain

TL;DR: The results indicate the brain's functional network architecture during task performance is shaped primarily by an intrinsic network architecture that is also present during rest, and secondarily by evoked task-general and task-specific network changes.
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A neuromarker of sustained attention from whole-brain functional connectivity.

TL;DR: It is demonstrated that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention, and predicts a clinical measure of attention—symptoms of attention deficit hyperactivity disorder—from resting-state connectivity in an independent sample of children and adolescents.
References
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Journal ArticleDOI

Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Book ChapterDOI

Investigating causal relations by econometric models and cross-spectral methods

TL;DR: In this article, it is shown that the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI

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.
Journal ArticleDOI

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Journal ArticleDOI

Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

TL;DR: The results suggest the need for greater care in dealing with subject motion, and the need to critically revisit previous rs-fcMRI work that may not have adequately controlled for effects of transient subject movements.
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