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.About:
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.read more
Citations
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Journal ArticleDOI
Bessel Beam Illumination Reduces Random and Systematic Errors in Quantitative Functional Studies Using Light-Sheet Microscopy
M. Caroline Müllenbroich,M. Caroline Müllenbroich,Lapo Turrini,Ludovico Silvestri,Ludovico Silvestri,Tommaso Alterini,Ali Gheisari,Natascia Tiso,Francesco Vanzi,Francesco Vanzi,Leonardo Sacconi,Leonardo Sacconi,Francesco S. Pavone,Francesco S. Pavone,Francesco S. Pavone +14 more
TL;DR: This work reports how Bessel beams reduce streaking artifacts and produce high-fidelity quantitative data demonstrating a fivefold increase in sensitivity to calcium transients and a 20- fold increase in accuracy in the detection of activity correlations in functional imaging.
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Altered functional connectivity in binge eating disorder and bulimia nervosa: A resting-state fMRI study.
Marion A. Stopyra,Marion A. Stopyra,Joe J. Simon,Joe J. Simon,Mandy Skunde,Stephan Walther,Martin Bendszus,Wolfgang Herzog,Hans-Christoph Friederich,Hans-Christoph Friederich +9 more
TL;DR: Brain networks subserving the processing of rewards, emotions, and cognitive control seem to play a crucial role in the development and maintenance of eating disorders and further investigations into the neurobiological underpinnings are needed to discern abnormal connectivity patterns in BTE disorders.
Journal ArticleDOI
Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity: reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer's disease.
Pablo Núñez,Jesús Poza,Jesús Poza,Carlos Gómez,Víctor Rodríguez-González,Arjan Hillebrand,Miguel A. Tola-Arribas,Mónica Cano,Roberto Hornero,Roberto Hornero +9 more
TL;DR: The results suggest that patients with AD show less variation in neuronal connectivity during resting-state, supporting the notion that dFC can be found at the EEG time scale and is abnormal in the MCI-AD continuum.
Journal ArticleDOI
Charting moment-to-moment brain signal variability from early to late childhood.
TL;DR: A monotonic rise in the complexity of electroencephalogram (EEG) signals as measured by sample entropy, from the youngest to the oldest age cohort, across a range of time scales and spatial regions is revealed.
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The quest for multiscale brain modeling
Egidio D'Angelo,Viktor K. Jirsa +1 more
TL;DR: In this paper , the authors consider theories and strategies for combining bottom-up models, generated from principles of neuronal biophysics, with top-down models based on ensemble representations of network activity and on functional principles.
References
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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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Jessica S. Damoiseaux,Serge A.R.B. Rombouts,Frederik Barkhof,Philip Scheltens,Cornelis J. Stam,Stephen M. Smith,Christian F. Beckmann +6 more
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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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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