The propensity for synchronization of complex networks with directed and weighted links is considered. We show that a weighting procedure based upon the global structure network pathways enhances complete identical dynamical units in scale-free networks. Furthermore, we numerically very similar conditions hold also phase nonidentical chaotic oscillators.

We study a Kuramoto model in which the oscillators are associated with nodes of complex network and interactions include phase frustration, thus preventing full synchronization. The system organizes into regime remote synchronization where pairs same symmetry fully synchronized, despite their distance on graph. provide analytical arguments to explain this result, we show how frustration parameter affects distribution phases. An application brain networks suggests that anatomical plays role...

The time-resolved analysis of heart rate (HR) and variability (HRV) is crucial for the evaluation dynamic changes autonomic activity under different clinical behavioural conditions. Standard HRV performed in frequency domain because sympathetic activations tend to increase low-frequency oscillations, while parasympathetic ones high-frequency oscillations. However, a strict separation into bands may cause biased estimations, especially range. To overcome this limitation, we propose robust...

Background Several factors, including environmental and climatic influence the transmission of vector-borne diseases. Nevertheless, identification relative importance factors for diseases remain controversial. Dengue is world's most important viral disease, controversy about effects also applies in this case. Here we address role climate variability shaping interannual pattern dengue epidemics. Methods Findings We have analysed monthly data Thailand from 1983 to 1997 using wavelet approaches...

We analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic signals healthy subjects and epileptic patients (suffering absence seizures) recorded at rest. find that, for activities in 5--14 Hz range, brains exhibit a sparse connectivity, whereas display rich with clear modular structure. Our results suggest that modularity plays key role functional organization areas during normal pathological neural

The propensity for synchronization is studied in a complex network of asymmetrically coupled units, where the asymmetry given link determined by relative age involved nodes. In growing scale-free networks, enhanced when couplings from older to younger nodes are dominant. We describe requirements such an effect more general context and compare with situations nongrowing random networks without degree ordering.

Absence seizures are characterized by bilaterally synchronous spike-and-wave discharges (SWDs) in the electroencephalogram, which reflect abnormal oscillations corticothalamic networks. Although it was suggested that basal ganglia could modulate, via their feedback circuits to cerebral cortex, occurrence of SWDs, cellular and network mechanisms underlying such a subcortical control absence remain unknown. The GABAergic projections from substantia nigra pars reticulata (SNR) thalamocortical...

In the last decade, network science has shed new light both on structural (anatomical) and functional (correlations in activity) connectivity among different areas of human brain. The analysis brain networks made possible to detect central a neural system, identify its building blocks by looking at overabundant small subgraphs, known as motifs. However, so far mainly focused anatomical separate entities. recently developed mathematical framework multi-layer allows perform an where layers are...

In many biological systems, the network of interactions between elements can only be inferred from experimental measurements. neuroscience, non-invasive imaging tools are extensively used to derive either structural or functional brain networks in-vivo. As a result inference process, we obtain matrix values corresponding an unrealistic fully connected and weighted network. To turn this into useful sparse network, thresholding is typically adopted cancel percentage weakest connections. The...

Recent development in diffusion spectrum brain imaging combined to functional simulation has the potential further our understanding of how structure and dynamics are intertwined human brain. At intra-individual scale, neurocomputational models have already started uncover connectome constrains coordination activity across distributed regions. In parallel, at inter-individual nascent social neuroscience provides a new dynamical vista coupling between two embodied cognitive agents. Using EEG...

To evaluate the frequency, determinants and sleep characteristics of lucid dreaming in narcolepsy.

The recent emergence and success of electroencephalography (EEG) in low-cost portable devices, has opened the door to a new generation applications processing small number EEG channels for health monitoring brain-computer interfacing. These recordings are, however, contaminated by many sources noise degrading signals interest, thus compromising interpretation underlying brain state. In this work, we propose data-driven algorithm effectively remove ocular muscular artifacts from...

Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists connectivity changes between oscillatory processes at different frequency channels. We proposed a multi-layer approach to analyze multiple-frequency networks inferred from magnetoencephalographic recordings during resting-states in AD subjects age-matched controls. Main results showed that tend facilitate information propagation across frequencies, as measured by the multi-participation...

Abstract In recent years, there has been an increasing interest in studying brain–heart interactions. Methodological advancements have proposed to investigate how the brain and heart communicate, leading new insights into some neural functions. However, most frameworks look at interaction of only one region with heartbeat dynamics, overlooking that functional networks change dynamically response internal external demands. We propose a framework for assessing interplay between cortical...

Parkinson's disease (PD) often shows disrupted brain connectivity and autonomic dysfunctions, progressing alongside with motor cognitive decline. Recently, PD has been linked to a reduced sensitivity cardiac inputs, that is, interoception. Altogether, those signs suggest causes an altered brain-heart connection whose mechanisms remain unclear. Our study aimed explore the large-scale network disruptions neurophysiology of interoceptive in PD. We focused on examining alterations coupling their...

Dopaminergic (DA) denervation results in the appearance of an excessive cortical beta frequency synchronization parkinsonian patients and animal models disease. The present study analyzed electrocorticogram signals awake rats to further characterize this terms time course, relation motor activity state vigilance. Using substantia nigra pars compacta lesions both acute chronic pharmacological interruptions DA transmission, data demonstrated that requires a prolonged interruption transmission...

There is growing interest in studying the role of connectivity patterns brain functions. In recent years, functional networks were found to exhibit small-world properties during different states. previous studies, time-independent recovered from long time periods activity. this paper, we propose an approach, event-related networks, that allows one characterize dynamical evolution time-frequency space. We illustrate approach by characterizing magnetoencephalographic signals recorded a visual...