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https://www.readbyqxmd.com/read/28550285/scale-integrated-network-hubs-of-the-white-matter-structural-network
#1
Hunki Kwon, Yong-Ho Choi, Sang Won Seo, Jong-Min Lee
The 'human connectome' concept has been proposed to significantly increase our understanding of how functional brain states emerge from their underlying structural substrates. Especially, the network hub has been considered one of the most important topological properties to interpret a network as a complex system. However, previous structural brain connectome studies have reported network hub regions based on various nodal resolutions. We hypothesized that brain network hubs should be determined considering various nodal scales in a certain range...
May 26, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28549329/abnormal-small-world-brain-functional-networks-in-obsessive-compulsive-disorder-patients-with-poor-insight
#2
Hui Lei, Yan Cui, Jie Fan, Xiaocui Zhang, Mingtian Zhong, Jinyao Yi, Lin Cai, Dezhong Yao, Xiongzhao Zhu
BACKGROUND: There are limited data on neurobiological correlates of poor insight in obsessive-compulsive disorder (OCD). This study explored whether specific changes occur in small-world network (SWN) properties in the brain functional network of OCD patients with poor insight. METHOD: Resting-state electroencephalograms (EEGs) were recorded for 12 medication-free OCD patients with poor insight, 50 medication-free OCD patients with good insight, and 36 healthy controls...
May 20, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28547799/the-effects-of-intransitive-competition-on-coexistence
#3
Laure Gallien, Niklaus E Zimmermann, Jonathan M Levine, Peter B Adler
Coexistence theory has been developed with an almost exclusive focus on interactions between two species, often ignoring more complex and indirect interactions, such as intransitive loops, that can emerge in competition networks. In fact, intransitive competition has typically been studied in isolation from other pairwise stabilising processes, and thus little is known about how intransitivity interacts with more traditional drivers of species coexistence such as niche partitioning. To integrate intransitivity into traditional coexistence theory, we developed a metric of growth rate when rare, Δri¯, to identify and quantify the impact of intransitive competition against a backdrop of pairwise stabilising niche differences...
May 26, 2017: Ecology Letters
https://www.readbyqxmd.com/read/28545135/maximum-flow-based-resilience-analysis-from-component-to-system
#4
Chong Jin, Ruiying Li, Rui Kang
Resilience, the ability to withstand disruptions and recover quickly, must be considered during system design because any disruption of the system may cause considerable loss, including economic and societal. This work develops analytic maximum flow-based resilience models for series and parallel systems using Zobel's resilience measure. The two analytic models can be used to evaluate quantitatively and compare the resilience of the systems with the corresponding performance structures. For systems with identical components, the resilience of the parallel system increases with increasing number of components, while the resilience remains constant in the series system...
2017: PloS One
https://www.readbyqxmd.com/read/28544891/emergence-of-ultrafast-sparsely-synchronized-rhythms-and-their-responses-to-external-stimuli-in-an-inhomogeneous-small-world-complex-neuronal-network
#5
Sang-Yoon Kim, Woochang Lim
We consider an inhomogeneous small-world network (SWN) composed of inhibitory short-range (SR) and long-range (LR) interneurons, and investigate the effect of network architecture on emergence of synchronized brain rhythms by varying the fraction of LR interneurons plong. The betweenness centralities of the LR and SR interneurons (characterizing the potentiality in controlling communication between other interneurons) are distinctly different. Hence, in view of the betweenness, SWNs we consider are inhomogeneous, unlike the "canonical" Watts-Strogatz SWN with nearly the same betweenness centralities...
April 28, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28542520/an-efficient-semi-supervised-community-detection-framework-in-social-networks
#6
Zhen Li, Yong Gong, Zhisong Pan, Guyu Hu
Community detection is an important tasks across a number of research fields including social science, biology, and physics. In the real world, topology information alone is often inadequate to accurately find out community structure due to its sparsity and noise. The potential useful prior information such as pairwise constraints which contain must-link and cannot-link constraints can be obtained from domain knowledge in many applications. Thus, combining network topology with prior information to improve the community detection accuracy is promising...
2017: PloS One
https://www.readbyqxmd.com/read/28542280/analysing-human-mobility-patterns-of-hiking-activities-through-complex-network-theory
#7
Isaac Lera, Toni Pérez, Carlos Guerrero, Víctor M Eguíluz, Carlos Juiz
The exploitation of high volume of geolocalized data from social sport tracking applications of outdoor activities can be useful for natural resource planning and to understand the human mobility patterns during leisure activities. This geolocalized data represents the selection of hike activities according to subjective and objective factors such as personal goals, personal abilities, trail conditions or weather conditions. In our approach, human mobility patterns are analysed from trajectories which are generated by hikers...
2017: PloS One
https://www.readbyqxmd.com/read/28541916/variance-constrained-state-estimation-for-complex-networks-with-randomly-varying-topologies
#8
Hongli Dong, Nan Hou, Zidong Wang, Weijian Ren
This paper investigates the variance-constrained H∞ state estimation problem for a class of nonlinear time-varying complex networks with randomly varying topologies, stochastic inner coupling, and measurement quantization. A Kronecker delta function and Markovian jumping parameters are utilized to describe the random changes of network topologies. A Gaussian random variable is introduced to model the stochastic disturbances in the inner coupling of complex networks. As a kind of incomplete measurements, measurement quantization is taken into consideration so as to account for the signal distortion phenomenon in the transmission process...
May 23, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28539423/mnemonic-encoding-and-cortical-organization-in-parietal-and-prefrontal-cortices
#9
Nicolas Y Masse, Jonathan M Hodnefield, David J Freedman
Persistent activity within the frontoparietal network is consistently observed during tasks which require working memory. However, the neural circuit mechanisms underlying persistent neuronal encoding within this network remain unresolved. Here, we ask how neural circuits support persistent activity by examining population recordings from posterior parietal (PPC) and prefrontal (PFC) cortices in two male monkeys that performed spatial and motion direction based tasks that required working memory. While spatially selective persistent activity was observed in both areas, robust selective persistent activity for motion direction was only observed in PFC...
May 24, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28533969/ranking-of-critical-species-to-preserve-the-functionality-of-mutualistic-networks-using-the-k-core-decomposition
#10
Javier García-Algarra, Juan Manuel Pastor, José María Iriondo, Javier Galeano
BACKGROUND: Network analysis has become a relevant approach to analyze cascading species extinctions resulting from perturbations on mutualistic interactions as a result of environmental change. In this context, it is essential to be able to point out key species, whose stability would prevent cascading extinctions, and the consequent loss of ecosystem function. In this study, we aim to explain how the k-core decomposition sheds light on the understanding the robustness of bipartite mutualistic networks...
2017: PeerJ
https://www.readbyqxmd.com/read/28531127/virtual-lattice-based-intrusion-detection-algorithm-over-actuator-assisted-underwater-wireless-sensor-networks
#11
Jing Yan, Xiaolei Li, Xiaoyuan Luo, Xinping Guan
Due to the lack of a physical line of defense, intrusion detection becomes one of the key issues in applications of underwater wireless sensor networks (UWSNs), especially when the confidentiality has prime importance. However, the resource-constrained property of UWSNs such as sparse deployment and energy constraint makes intrusion detection a challenging issue. This paper considers a virtual-lattice-based approach to the intrusion detection problem in UWSNs. Different from most existing works, the UWSNs consist of two kinds of nodes, i...
May 20, 2017: Sensors
https://www.readbyqxmd.com/read/28529872/functional-network-changes-and-cognitive-control-in-schizophrenia
#12
Kimberly L Ray, Tyler A Lesh, Amber M Howell, Taylor P Salo, J Daniel Ragland, Angus W MacDonald, James M Gold, Steven M Silverstein, Deana M Barch, Cameron S Carter
Cognitive control is a cognitive and neural mechanism that contributes to managing the complex demands of day-to-day life. Studies have suggested that functional impairments in cognitive control associated brain circuitry contribute to a broad range of higher cognitive deficits in schizophrenia. To examine this issue, we assessed functional connectivity networks in healthy adults and individuals with schizophrenia performing tasks from two distinct cognitive domains that varied in demands for cognitive control, the RiSE episodic memory task and DPX goal maintenance task...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28529871/subtle-alterations-in-cerebrovascular-reactivity-in-mild-cognitive-impairment-detected-by-graph-theoretical-analysis-and-not-by-the-standard-approach
#13
Carlos A Sánchez-Catasús, Gretel Sanabria-Diaz, Antoon Willemsen, Eduardo Martinez-Montes, Juan Samper-Noa, Angel Aguila-Ruiz, Ronald Boellaard, Peter De Deyn, Rudi A J O Dierckx, Lester Melie-Garcia
There is growing support that cerebrovascular reactivity (CVR) in response to a vasodilatory challenge, also defined as the cerebrovascular reserve, is reduced in Alzheimer's disease dementia. However, this is less clear in patients with mild cognitive impairment (MCI). The current standard analysis may not reflect subtle abnormalities in CVR. In this study, we aimed to investigate vasodilatory-induced changes in the topology of the cerebral blood flow correlation (CBFcorr) network to study possible network-related CVR abnormalities in MCI...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28522831/scaling-of-average-receiving-time-on-weighted-polymer-networks-with-some-topological-properties
#14
Dandan Ye, Song Liu, Jia Li, Fei Zhang, Changling Han, Wei Chen, Yingze Zhang
In this paper, a family of the weighted polymer networks is introduced depending on the number of copies f and a weight factor r. The topological properties of weighted polymer networks can be completely analytically characterized in terms of the involved parameters and/or of the fractal dimension. Moreover, assuming that the walker, at each step, starting from its current node, moves to any of its neighbors with probability proportional to the weight of edge linking them, namely weight-dependent walk. Then, we calculate the average receiving time (ART) with weighted-dependent walks, which is the sum of mean first-passage times (MFPTs) for all nodes absorpt at the trap located at the central node as a recursive relation...
May 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28520468/the-hierarchy-of-brain-networks-is-related-to-insulin-growth-factor-1-in-a-large-middle-aged-healthy-cohort-an-exploratory-magnetoencephalography-study
#15
Pierpaolo Sorrentino, Dagmar Nieboer, Jos Twisk, Cornelis J Stam, Linda Douw, Arjan Hillebrand
Recently, a large study demonstrated that lower serum levels of insulin growth factor-1 (IGF-1) relate to brain atrophy and to greater risk for developing Alzheimer's disease in a healthy elderly population. We set out to test if functional brain networks relate to IGF-1 levels in the middle-aged. Hence, we studied the association between IGF-1 and magnetoencephalography-based functional network characteristics in a middle-aged population. The functional connections between brain areas were estimated for six frequency bands (delta, theta, alpha1, alpha2, beta, gamma) using the phase lag index (PLI)...
May 18, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28517934/plasma-and-serum-metabolite-association-networks-comparability-within-and-between-studies-using-nmr-and-ms-profiling
#16
Maria Suarez-Diez, Jonathan Adam, Jerzy Adamski, Styliani A Chasapi, Claudio Luchinat, Annette Peters, Cornelia Prehn, Claudio Santucci, Alexandros Spyridonidis, Georgios A Spyroulias, Leonardo Tenori, Rui Wang-Sattler, Edoardo Saccenti
Blood is one of the most used biofluids in metabolomics studies, and the serum and plasma fractions are routinely used as a proxy for blood itself. Here we investigated the association networks of an array of 29 metabolites identified and quantified via NMR in the plasma and serum samples of two cohorts of ∼1000 healthy blood donors each. A second study of 377 individuals was used to extract plasma and serum samples from the same individual on which a set of 122 metabolites were detected and quantified using FIA-MS/MS...
May 26, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28515708/disrupted-structural-and-functional-networks-and-their-correlation-with-alertness-in-right-temporal-lobe-epilepsy-a-graph-theory-study
#17
Wenyu Jiang, Jianping Li, Xuemei Chen, Wei Ye, Jinou Zheng
Previous studies have shown that temporal lobe epilepsy (TLE) involves abnormal structural or functional connectivity in specific brain areas. However, limited comprehensive studies have been conducted on TLE associated changes in the topological organization of structural and functional networks. Additionally, epilepsy is associated with impairment in alertness, a fundamental component of attention. In this study, structural networks were constructed using diffusion tensor imaging tractography, and functional networks were obtained from resting-state functional MRI temporal series correlations in 20 right temporal lobe epilepsy (rTLE) patients and 19 healthy controls...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28509560/a-multi-scale-model-for-electrokinetic-transport-in-networks-of-pores-part-ii-computational-algorithms-and-applications
#18
Shima Alizadeh, Ali Mani
The first part of this two-paper series presented a robust mathematical model for fast and accurate prediction of electrokinetic phenomena in porous networks with complex topologies. In the second part of this series we first present a numerical algorithm that can efficiently solve the model equations. We then demonstrate that the resulting framework is capable of capturing a wide range of transport phenomena in microstructures by considering a hierarchy of canonical problems with increasing complexity. The developed framework is validated against direct numerical simulations of deionization shocks in micro-pore-membrane junctions and concentration polarization in micro- and nano-channel systems...
May 16, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/28507724/deep-learning-and-3d-desi-imaging-reveal-the-hidden-metabolic-heterogeneity-of-cancer
#19
Paolo Inglese, James S McKenzie, Anna Mroz, James Kinross, Kirill Veselkov, Elaine Holmes, Zoltan Takats, Jeremy K Nicholson, Robert C Glen
Visual inspection of tumour tissues does not reveal the complex metabolic changes that differentiate cancer and its sub-types from healthy tissues. Mass spectrometry imaging, which quantifies the underlying chemistry, represents a powerful tool for the molecular exploration of tumour tissues. A 3-dimensional topological description of the chemical properties of the tumour permits the formulation of hypotheses about the biological composition and interactions and the possible causes of its heterogeneous structure...
May 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28505854/mean-field-equations-for-neuronal-networks-with-arbitrary-degree-distributions
#20
Duane Q Nykamp, Daniel Friedman, Sammy Shaker, Maxwell Shinn, Michael Vella, Albert Compte, Alex Roxin
The emergent dynamics in networks of recurrently coupled spiking neurons depends on the interplay between single-cell dynamics and network topology. Most theoretical studies on network dynamics have assumed simple topologies, such as connections that are made randomly and independently with a fixed probability (Erdös-Rényi network) (ER) or all-to-all connected networks. However, recent findings from slice experiments suggest that the actual patterns of connectivity between cortical neurons are more structured than in the ER random network...
April 2017: Physical Review. E
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