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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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Noise-driven multistability vs deterministic chaos in phenomenological semi-empirical models of whole-brain activity.

TL;DR: In this paper, the authors acknowledge the Toyoko 2020 program for granting cloud computing services, which was supported by funding from the Agencia Nacional De Promocion Cientifica Y Tecnologica (Argentina) (Grant No. PICT-2018-03103).
Posted ContentDOI

BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder

TL;DR: There were significant associations between these measures, behavioural severity, age, and a measure of the brain’s capacity to perform information processing, called global efficiency, which provided insight into two important components of brain function in children and adolescents with and without ASD.
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Probing scale interaction in brain dynamics through synchronization.

TL;DR: This work uses the synchronization between the two NM models as a tool to probe the interaction between the mesoscopic scales of those neural populations and the microscopic scale of the mediating NN, and establishes how this synchronization depends on the topological properties of the microscopic NN.
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Understanding neural flexibility from a multifaceted definition

TL;DR: In this paper, the authors proposed a multifaceted definition of neural flexibility according to three key features: broad cognitive engagement, distributed connectivity, and adaptive connectome dynamics, and suggested a set of metrics that can help us assign a flexibility rating to each region.
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It’s about time: Linking dynamical systems with human neuroimaging to understand the brain

TL;DR: It is argued that dynamical systems theory provides the crucial mechanistic framework for characterizing both the brain’s time-varying quality and its partial stability in the face of perturbations, and hence, that this perspective can have a profound impact on the interpretation of human neuroimaging results and their relationship with behavior.
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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