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Open AccessJournal ArticleDOI

Resting brains never rest: computational insights into potential cognitive architectures

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TLDR
A new theoretical framework for RSNs is proposed that can serve as a fertile ground for empirical testing and reflects the dynamical capabilities of the brain, which emphasizes the vital interplay of time and space.
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This article is published in Trends in Neurosciences.The article was published on 2013-05-01 and is currently open access. It has received 327 citations till now. The article focuses on the topics: Network dynamics & Resting state fMRI.

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Citations
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Journal ArticleDOI

Multistability in Large Scale Models of Brain Activity

TL;DR: Only the model with a global dynamic density control is found to display robust and long-lasting non-stationarity with no tendency toward either overactivity or extinction in noise-driven generalizations of the models.
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Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy.

TL;DR: Global augmentation of structure-function correlation might be linked to a smaller functional repertoire in rTLE patients, while sparing the central core of the brain which may represent a pathway that facilitates the spread of seizures.
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Brain Dynamics of Aging: Multiscale Variability of EEG Signals at Rest and during an Auditory Oddball Task

TL;DR: The main objective was to offer a comprehensive characterization of the changes of brain (cortical) signal variability during aging and to make the link with known underlying structural, neurophysiological, and functional modifications, as well as aging theories.
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Individual structural features constrain the mouse functional connectome.

TL;DR: It is demonstrated that individual structural connectomes predict the functional organization of individual brains, and it is shown that the dominant predictors of individual structure–function relations are the asymmetry and the weights of the structural links.
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Using Pareto optimality to explore the topology and dynamics of the human connectome

TL;DR: This study defines and explores a network morphospace in order to characterize different aspects of communication efficiency in human brain networks and investigates the capacity of anatomical brain networks to evolve towards topologies that exhibit optimal information processing features while preserving network cost.
References
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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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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.
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Functional connectivity in the resting brain: A network analysis of the default mode hypothesis

TL;DR: This study constitutes, to the knowledge, the first resting-state connectivity analysis of the default mode and provides the most compelling evidence to date for the existence of a cohesive default mode network.
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Consistent resting-state networks across healthy subjects

TL;DR: Findings show that the baseline activity of the brain is consistent across subjects exhibiting significant temporal dynamics, with percentage BOLD signal change comparable with the signal changes found in task-related experiments.
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Mapping the Structural Core of Human Cerebral Cortex

TL;DR: The spatial and topological centrality of the core within cortex suggests an important role in functional integration and a substantial correspondence between structural connectivity and resting-state functional connectivity measured in the same participants.
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