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https://www.readbyqxmd.com/read/27923168/improved-exponential-convergence-result-for-generalized-neural-networks-including-interval-time-varying-delayed-signals
#1
G Rajchakit, R Saravanakumar, Choon Ki Ahn, Hamid Reza Karimi
This article examines the exponential stability analysis problem of generalized neural networks (GNNs) including interval time-varying delayed states. A new improved exponential stability criterion is presented by establishing a proper Lyapunov-Krasovskii functional (LKF) and employing new analysis theory. The improved reciprocally convex combination (RCC) and weighted integral inequality (WII) techniques are utilized to obtain new sufficient conditions to ascertain the exponential stability result of such delayed GNNs...
November 9, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/27922640/brain-network-reorganization-differs-in-response-to-stress-in-rats-genetically-predisposed-to-depression-and-stress-resilient-rats
#2
N Gass, R Becker, A J Schwarz, W Weber-Fahr, C Clemm von Hohenberg, B Vollmayr, A Sartorius
Treatment-resistant depression (TRD) remains a pressing clinical problem. Optimizing treatment requires better definition of the specificity of the involved brain circuits. The rat strain bred for negative cognitive state (NC) represents a genetic animal model of TRD with high face, construct and predictive validity. Vice versa, the positive cognitive state (PC) strain represents a stress-resilient phenotype. Although NC rats show depressive-like behavior, some symptoms such as anhedonia require an external trigger, i...
December 6, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27921189/homogenized-constrained-mixture-models-for-anisotropic-volumetric-growth-and-remodeling
#3
F A Braeu, A Seitz, R C Aydin, C J Cyron
Constrained mixture models for soft tissue growth and remodeling have attracted increasing attention over the last decade. They can capture the effects of the simultaneous presence of multiple constituents that are continuously deposited and degraded at in general different rates, which is important to understand essential features of living soft tissues that cannot be captured by simple kinematic growth models. Recently the novel concept of homogenized constrained mixture models was introduced. It was shown that these models produce results which are very similar (and in certain limit cases even identical) to the ones of constrained mixture models based on multi-network theory...
December 5, 2016: Biomechanics and Modeling in Mechanobiology
https://www.readbyqxmd.com/read/27920976/resting-state-theta-band-connectivity-and-graph-analysis-in-generalized-social-anxiety-disorder
#4
Mengqi Xing, Reza Tadayonnejad, Annmarie MacNamara, Olusola Ajilore, Julia DiGangi, K Luan Phan, Alex Leow, Heide Klumpp
BACKGROUND: Functional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/27920729/transcriptional-network-architecture-of-breast-cancer-molecular-subtypes
#5
Guillermo de Anda-Jáuregui, Tadeo E Velázquez-Caldelas, Jesús Espinal-Enríquez, Enrique Hernández-Lemus
Breast cancer heterogeneity is evident at the clinical, histological and molecular level. High throughput technologies allowed the identification of intrinsic subtypes that capture transcriptional differences among tumors. A remaining question is whether said differences are associated to a particular transcriptional program which involves different connections between the same molecules. In other words, whether particular transcriptional network architectures can be linked to specific phenotypes. In this work we infer, construct and analyze transcriptional networks from whole-genome gene expression microarrays, by using an information theory approach...
2016: Frontiers in Physiology
https://www.readbyqxmd.com/read/27919750/mapping-the-functional-connectome-in-traumatic-brain-injury-what-can-graph-metrics-tell-us
#6
Karen Caeyenberghs, Helena Verhelst, Adam Clemente, Peter H Wilson
OBJECTIVE: Traumatic brain injury (TBI) is associated with cognitive and motor deficits, and poses a significant personal, societal, and economic burden. One mechanism by which TBI is thought to affect cognition and behaviour is through changes in functional connectivity. Graph theory is a powerful framework for quantifying topological features of neuroimaging-derived functional networks. The objective of this paper is to review studies examining functional connectivity in TBI with an emphasis on graph theoretical analysis that is proving to be valuable in uncovering network abnormalities in this condition...
December 2, 2016: NeuroImage
https://www.readbyqxmd.com/read/27919546/brain-morphometry-predicts-individual-creative-potential-and-the-ability-to-combine-remote-ideas
#7
David Bendetowicz, Marika Urbanski, Clarisse Aichelburg, Richard Levy, Emmanuelle Volle
For complex mental functions such as creative thinking, inter-individual variability is useful to better understand the underlying cognitive components and brain anatomy. Associative theories propose that creative individuals have flexible semantic associations, which allows remote elements to be formed into new combinations. However, the structural brain variability associated with the ability to combine remote associates has not been explored. To address this question, we performed a voxel-based morphometry (VBM) study and explored the anatomical connectivity of significant regions...
November 15, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/27919383/social-capital-and-transaction-cost-on-co-creating-it-value-towards-inter-organizational-emr-exchange
#8
Hsin Hsin Chang, Chung-Jye Hung, Ching Ying Huang, Kit Hong Wong, Yi Ju Tsai
This study adopts social capital theory and transaction cost theory to explore the feasibility of an inter-organizational cross-hospital electronic medical records (EMR) exchange system, and the factors that affect its adoption. The concept of value co-creation is also used to assess such a system, and its influence on the performance of participating medical institutes. This research collected 330 valid paper-based questionnaires from the medical staff of various institutes. The results showed that social interaction ties and shared vision positively affected medical institutes' willingness to adopt the EMR exchange system, while asset specificity and uncertainty increased the related transaction costs...
January 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/27918646/bionanofiber-assisted-decoration-of-few-layered-mose2-nanosheets-on-3d-conductive-networks-for-efficient-hydrogen-evolution
#9
Feili Lai, Dingyu Yong, Xueliang Ning, Bicai Pan, Yue-E Miao, Tianxi Liu
Molybdenum diselenide (MoSe2 ) has emerged as a promising electrocatalyst for hydrogen evolution reaction (HER). However, its properties are still confined due to the limited active sites and poor conductivity. Thus, it remains a great challenge to synergistically achieve structural and electronic modulations for MoSe2 -based HER catalysts because of the contradictory relationship between these two characteristics. Herein, bacterial cellulose-derived carbon nanofibers are used to assist the uniform growth of few-layered MoSe2 nanosheets, which effectively increase the active sites of MoSe2 for hydrogen atom adsorption...
December 5, 2016: Small
https://www.readbyqxmd.com/read/27917350/completeness-and-regularity-of-generalized-fuzzy-graphs
#10
Sovan Samanta, Biswajit Sarkar, Dongmin Shin, Madhumangal Pal
Fuzzy graphs are the backbone of many real systems like networks, image, scheduling, etc. But, due to some restriction on edges, fuzzy graphs are limited to represent for some systems. Generalized fuzzy graphs are appropriate to avoid such restrictions. In this study generalized fuzzy graphs are introduced. In this study, matrix representation of generalized fuzzy graphs is described. Completeness and regularity are two important parameters of graph theory. Here, regular and complete generalized fuzzy graphs are introduced...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27917138/neural-elements-for-predictive-coding
#11
REVIEW
Stewart Shipp
Predictive coding theories of sensory brain function interpret the hierarchical construction of the cerebral cortex as a Bayesian, generative model capable of predicting the sensory data consistent with any given percept. Predictions are fed backward in the hierarchy and reciprocated by prediction error in the forward direction, acting to modify the representation of the outside world at increasing levels of abstraction, and so to optimize the nature of perception over a series of iterations. This accounts for many 'illusory' instances of perception where what is seen (heard, etc...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27916383/disentangling-interactions-in-the-microbiome-a-network-perspective
#12
REVIEW
Mehdi Layeghifard, David M Hwang, David S Guttman
Microbiota are now widely recognized as being central players in the health of all organisms and ecosystems, and subsequently have been the subject of intense study. However, analyzing and converting microbiome data into meaningful biological insights remain very challenging. In this review, we highlight recent advances in network theory and their applicability to microbiome research. We discuss emerging graph theoretical concepts and approaches used in other research disciplines and demonstrate how they are well suited for enhancing our understanding of the higher-order interactions that occur within microbiomes...
December 1, 2016: Trends in Microbiology
https://www.readbyqxmd.com/read/27914882/representation-of-the-body-in-the-lateral-striatum-of-the-freely-moving-rat-fast-spiking-interneurons-respond-to-stimulation-of-individual-body-parts
#13
Julianna Kulik, Anthony Pawlak, Manraj Kalkat, Kevin Coffey, Mark O West
: Numerous studies have shown that certain types of striatal interneurons play a crucial role in selection and regulation of striatal output. Striatal Fast-Spiking Interneurons (FSIs) are parvalbumin positive, GABAergic interneurons that constitute less than 1% of the total striatal population. It is becoming increasingly evident that these sparsely distributed neurons exert a strong inhibitory effect on Medium Spiny projection Neurons (MSNs). MSNs in lateral striatum receive direct synaptic input from regions of cortex representing discrete body parts, and show phasic increases in activity during touch or movement of specific body parts...
November 30, 2016: Brain Research
https://www.readbyqxmd.com/read/27914262/a-new-switching-control-for-finite-time-synchronization-of-memristor-based-recurrent-neural-networks
#14
Jie Gao, Peiyong Zhu, Ahmed Alsaedi, Fuad E Alsaadi, Tasawar Hayat
In this paper, finite-time synchronization (FTS) of memristor-based recurrent neural networks (MNNs) with time-varying delays is investigated by designing a new switching controller. First, by using the differential inclusions theory and set-valued maps, sufficient conditions to ensure FTS of MNNs are obtained under the two cases of 0<α<1 and α=0, and it is derived that α=0 is the critical value of 0<α<1. Next, it is discussed deeply on the relation between the parameter α and the synchronization time...
November 4, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/27913590/control-of-spike-transfer-at-hippocampal-mossy-fiber-synapses-in-vivo-by-gabaa-and-gabab-receptor-mediated-inhibition
#15
Stefano Zucca, Marilena Griguoli, Meryl Malézieux, Noëlle Grosjean, Mario Carta, Christophe Mulle
: Despite extensive studies in hippocampal slices and incentive from computational theories, the synaptic mechanisms underlying information transfer at mossy fiber (mf) connections between the dentate gyrus (DG) and CA3 neurons in vivo are still elusive. Here we used an optogenetic approach in mice to selectively target and control the activity of DG granule cells (GCs) while performing whole cell and juxtacellular recordings of CA3 neurons in vivo In CA3 pyramidal cells (PCs), mf-CA3 synaptic responses consisted predominantly of an inhibitory postsynaptic potential (IPSP) at low stimulation frequency (0...
December 2, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27913295/dissection-of-functional-lncrnas-in-alzheimer-s-disease-by-construction-and-analysis-of-lncrna-mrna-networks-based-on-competitive-endogenous-rnas
#16
Lian-Kun Wang, Xiao-Feng Chen, Dan-Dan He, You Li, Jin Fu
Alzheimer's disease (AD) is a neurodegenerative disorder that is the most common cause of dementia in the elderly, and intracellular neurofibrillary tangles (NFTs) are one of the pathological features of AD. Recent studies have suggested long noncoding RNAs (lncRNAs) play important roles in AD. Competing endogenous RNAs (ceRNAs) is a mechanism that has recently been proposed, in which lncRNAs compete for common miRNA-binding sites with mRNAs. However, the roles of lncRNAs and ceRNA in AD NFTs is limited. In this study, we constructed a global triple network based on ceRNA theory, then an AD NFT lncRNA-mRNA network (NFTLMN) was generated...
November 29, 2016: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/27913157/further-evidence-of-alerted-default-network-connectivity-and-association-with-theory-of-mind-ability-in-schizophrenia
#17
Omar Mothersill, Noreen Tangney, Derek W Morris, Hazel McCarthy, Thomas Frodl, Michael Gill, Aiden Corvin, Gary Donohoe
BACKGROUND: Resting-state functional magnetic resonance imaging (rs-fMRI) has repeatedly shown evidence of altered functional connectivity of large-scale networks in schizophrenia. The relationship between these connectivity changes and behaviour (e.g. symptoms, neuropsychological performance) remains unclear. METHODS: Functional connectivity in 27 patients with schizophrenia or schizoaffective disorder, and 25 age and gender matched healthy controls was examined using rs-fMRI...
November 29, 2016: Schizophrenia Research
https://www.readbyqxmd.com/read/27911537/porosity-governs-normal-stresses-in-polymer-gels
#18
Henri C G de Cagny, Bart E Vos, Mahsa Vahabi, Nicholas A Kurniawan, Masao Doi, Gijsje H Koenderink, F C MacKintosh, Daniel Bonn
When sheared, most elastic solids including metals, rubbers, and polymer gels dilate perpendicularly to the shear plane. This behavior, known as the Poynting effect, is characterized by a positive normal stress. Surprisingly, fibrous biopolymer gels exhibit a negative normal stress under shear. Here we show that this anomalous behavior originates from the open-network structure of biopolymer gels. Using fibrin networks with a controllable pore size as a model system, we show that the normal-stress response to an applied shear is positive at short times, but decreases to negative values with a characteristic time scale set by pore size...
November 18, 2016: Physical Review Letters
https://www.readbyqxmd.com/read/27910970/exploration-of-hydrogen-bond-networks-and-potential-energy-surfaces-of-methanol-clusters-using-a-two-stage-clustering-algorithm
#19
Po-Jen Hsu, Kun-Lin Ho, Sheng-Hsien Lin, Jer-Lai Kuo
The potential energy surface (PES), structures and thermal properties of methanol clusters (MeOH)n with n = 8-15 were explored by replica-exchange molecular dynamics (REMD) simulations with an empirical model and refined using density functional theory (DFT) methods. For a given size, local minima structures were sampled from REMD trajectories and archived by a newly developed molecular database via a two-stage clustering algorithm (TSCA). Our TSCA utilizes both the topology of O-HO hydrogen bonding networks and the similarity of the shapes to filter out duplicates...
December 2, 2016: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/27910118/motivational-factors-associated-with-physical-activity-and-quality-of-life-in-people-with-severe-mental-illness
#20
Anders Farholm, Marit Sørensen, Hallgeir Halvari
BACKGROUND: There has been increasing interest for investigating the role of motivation in physical activity among people with severe mental illness (SMI). Autonomous motivation has been suggested to have a potentially important role in adoption and maintenance of physical activity. However, the knowledge about factors that facilitate autonomous motivation among people with SMI is scarce. AIM: The aim of this study was to examine factors associated with motivation for physical activity as well as the relationships between motivation, physical activity and health-related quality of life in individuals with SMI that were currently physically active...
December 2, 2016: Scandinavian Journal of Caring Sciences
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