scholarly journals Scale-Free Modulation of Resting-State Neuronal Oscillations Reflects Prolonged Brain Maturation in Humans

2011 ◽  
Vol 31 (37) ◽  
pp. 13128-13136 ◽  
Author(s):  
D. J. A. Smit ◽  
E. J. C. de Geus ◽  
M. E. van de Nieuwenhuijzen ◽  
C. E. M. van Beijsterveldt ◽  
G. C. M. van Baal ◽  
...  
Keyword(s):  
Resting State ◽  
Brain Maturation ◽  
Neuronal Oscillations ◽  
Scale Free

scholarly journals Scale-Free Coupled Dynamics in Brain Networks Captured by Bivariate Focus-Based Multifractal Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Orestis Stylianou ◽  
Frigyes Samuel Racz ◽  
Andras Eke ◽  
Peter Mukli
Keyword(s):  
Resting State ◽  
Functional Coupling ◽  
Dependent Manner ◽  
Coupled Dynamics ◽  
Scale Free ◽  
Neural Processes ◽  
Eeg Recordings ◽  
Cortical Regions ◽  
The Brain

While most connectivity studies investigate functional connectivity (FC) in a scale-dependent manner, coupled neural processes may also exhibit broadband dynamics, manifesting as power-law scaling of their measures of interdependence. Here we introduce the bivariate focus-based multifractal (BFMF) analysis as a robust tool for capturing such scale-free relations and use resting-state electroencephalography (EEG) recordings of 12 subjects to demonstrate its performance in reconstructing physiological networks. BFMF was employed to characterize broadband FC between 62 cortical regions in a pairwise manner, with all investigated connections being tested for true bivariate multifractality. EEG channels were also grouped to represent the activity of six resting-state networks (RSNs) in the brain, thus allowing for the analysis of within- and between- RSNs connectivity, separately. Most connections featured true bivariate multifractality, which could be attributed to the genuine scale-free coupling of neural dynamics. Bivariate multifractality showed a characteristic topology over the cortex that was highly concordant among subjects. Long-term autocorrelation was higher in within-RSNs, while the degree of multifractality was generally found stronger in between-RSNs connections. These results offer statistical evidence of the bivariate multifractal nature of functional coupling in the brain and validate BFMF as a robust method to capture such scale-independent coupled dynamics.

scholarly journals Neuronal oscillations and functional interactions between resting state networks

2013 ◽  
Vol 35 (7) ◽  
pp. 3517-3528 ◽  
Author(s):  
Xu Lei ◽  
Yulin Wang ◽  
Hong Yuan ◽  
Dante Mantini
Keyword(s):  
Resting State ◽  
Resting State Networks ◽  
Neuronal Oscillations ◽  
Functional Interactions

High‐dose ethanol intoxication decreases 1/f neural noise or scale‐free neural activity in the resting state

2019 ◽  
Vol 25 (6) ◽  
Author(s):  
Ann‐Kathrin Stock ◽  
Maik Pertermann ◽  
Moritz Mückschel ◽  
Christian Beste
Keyword(s):  
Neural Activity ◽  
Resting State ◽  
High Dose ◽  
Ethanol Intoxication ◽  
Scale Free ◽  
Neural Noise

Developmental changes of functional and directed resting-state connectivities associated with neuronal oscillations in EEG

NeuroImage ◽  
2013 ◽  
Vol 81 ◽  
pp. 231-242 ◽  
Author(s):  
Lars Michels ◽  
Muthuraman Muthuraman ◽  
Rafael Lüchinger ◽  
Ernst Martin ◽  
Abdul Rauf Anwar ◽  
...  
Keyword(s):  
Resting State ◽  
Developmental Changes ◽  
Neuronal Oscillations

scholarly journals Neuronal oscillations and synchronicity associated with gamma-hydroxybutyrate during resting-state in healthy male volunteers

2017 ◽  
Vol 234 (13) ◽  
pp. 1957-1968 ◽  
Author(s):  
Robin von Rotz ◽  
Michael Kometer ◽  
Dario Dornbierer ◽  
Jürg Gertsch ◽  
M. Salomé Gachet ◽  
...  
Keyword(s):  
Resting State ◽  
Healthy Male ◽  
Neuronal Oscillations ◽  
Healthy Male Volunteers ◽  
Male Volunteers ◽  
Gamma Hydroxybutyrate

scholarly journals Scale-free properties of resting-state BOLD signal change after fear learning

IBRO Reports ◽  
2019 ◽  
Vol 6 ◽  
pp. S200
Author(s):  
Alina Tetereva ◽  
Olga Martynova
Keyword(s):  
Resting State ◽  
Fear Learning ◽  
Bold Signal ◽  
Scale Free ◽  
Signal Change

scholarly journals Scale-Free Features in Collective Robot Foraging

2019 ◽  
Vol 9 (13) ◽  
pp. 2667 ◽  
Author(s):  
Ilja Rausch ◽  
Yara Khaluf ◽  
Pieter Simoens
Keyword(s):  
Resting State ◽  
Information Exchange ◽  
Large Scale ◽  
Complex Task ◽  
Characteristic Scale ◽  
Strong Correlations ◽  
Scale Free ◽  
Robot Swarms ◽  
Communication Links ◽  
Collective Foraging

In many complex systems observed in nature, properties such as scalability, adaptivity, or rapid information exchange are often accompanied by the presence of features that are scale-free, i.e., that have no characteristic scale. Following this observation, we investigate the existence of scale-free features in artificial collective systems using simulated robot swarms. We implement a large-scale swarm performing the complex task of collective foraging, and demonstrate that several space and time features of the simulated swarm—such as number of communication links or time spent in resting state—spontaneously approach the scale-free property with moderate to strong statistical plausibility. Furthermore, we report strong correlations between the latter observation and swarm performance in terms of the number of retrieved items.

scholarly journals Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations

2012 ◽  
Vol 3 ◽  
Author(s):  
Richard Hardstone ◽  
Simon-Shlomo Poil ◽  
Giuseppina Schiavone ◽  
Rick Jansen ◽  
Vadim V. Nikulin ◽  
...  
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Neuronal Oscillations ◽  
Scale Free ◽  
Detrended Fluctuation
Sign in / Sign up

Export Citation Format

Share Document