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triple mode network

Xia Wu, Qing Li, Xinyu Yu, Kewei Chen, Adam S Fleisher, Xiaojuan Guo, Jiacai Zhang, Eric M Reiman, Li Yao, Rui Li
The triple network model, consisting of the central executive network (CEN), salience network (SN) and default mode network (DMN), has been recently employed to understand dysfunction in core networks across various disorders. Here we used the triple network model to investigate the large-scale brain networks in cognitively normal apolipoprotein e4 (APOE4) carriers who are at risk of Alzheimer's disease (AD). To explore the functional connectivity for each of the three networks and the effective connectivity among them, we evaluated 17 cognitively normal individuals with a family history of AD and at least one copy of the APOE4 allele and compared the findings to those of 12 individuals who did not carry the APOE4 gene or have a family history of AD, using independent component analysis (ICA) and Bayesian network (BN) approach...
2016: Frontiers in Aging Neuroscience
Sara de la Salle, Joelle Choueiry, Dhrasti Shah, Hayley Bowers, Judy McIntosh, Vadim Ilivitsky, Verner Knott
N-methyl-D-aspartate (NMDA) receptor antagonists administered to healthy humans results in schizophrenia-like symptoms, which preclinical research suggests are due to glutamatergically altered brain oscillations. Here, we examined resting-state electroencephalographic activity in 21 healthy volunteers assessed in a placebo-controlled, double-blind, randomized study involving administration of either a saline infusion or a sub-anesthetic dose of ketamine, an NMDA receptor antagonist. Frequency-specific current source density (CSD) was assessed at sensor-level and source-level using eLORETA within regions of interest of a triple network model of schizophrenia (this model posits a dysfunctional switching between large-scale Default Mode and Central Executive networks by the monitor-controlling Salience Network)...
2016: Frontiers in Pharmacology
Akram Afifi, Ahmed El-Rabbany
This paper introduces a new dual-frequency precise point positioning (PPP) model, which combines the observations from three different global navigation satellite system (GNSS) constellations, namely GPS, Galileo, and BeiDou. Combining measurements from different GNSS systems introduces additional biases, including inter-system bias and hardware delays, which require rigorous modelling. Our model is based on the un-differenced and between-satellite single-difference (BSSD) linear combinations. BSSD linear combination cancels out some receiver-related biases, including receiver clock error and non-zero initial phase bias of the receiver oscillator...
2016: Sensors
Ekadashi Pradhan, Alex Brown
A six-dimensional potential energy surface (PES) for formyl fluoride (HFCO) is fit in a sum-of-products form using neural network exponential fitting functions. The ab initio data upon which the fit is based were computed at the explicitly correlated coupled cluster with single, double, and perturbative triple excitations [CCSD(T)-F12]/cc-pVTZ-F12 level of theory. The PES fit is accurate (RMSE = 10 cm(-1)) up to 10 000 cm(-1) above the zero point energy and covers most of the experimentally measured IR data...
May 7, 2016: Journal of Chemical Physics
Stéphanie Lefebvre, Morgane Demeulemeester, Arnaud Leroy, Christine Delmaire, Renaud Lopes, Delphine Pins, Pierre Thomas, Renaud Jardri
The majority of patients with schizophrenia suffer from hallucinations. While the triple-network model, which includes the default mode network (DMN), the central executive network (CEN) and the salience network (SAL), has recently been applied to schizophrenia, how this framework could explain the emergence of hallucinations remains unclear. Therefore, complementary brain regions that have been linked to hallucinations, such as the left hippocampus, should also be considered and added to this model. Accordingly, the present study explored the effective connectivity across these four components (i...
July 2016: Human Brain Mapping
Marcie L Zinn, Mark A Zinn, Leonard A Jason
Exact low resolution electromagnetic tomography (eLORETA) was recorded from nineteen EEG channels in nine patients with myalgic encephalomyelitis (ME) and 9 healthy controls to assess current source density and functional connectivity, a physiological measure of similarity between pairs of distributed regions of interest, between groups. Current source density and functional connectivity were measured using eLORETA software. We found significantly decreased eLORETA source analysis oscillations in the occipital, parietal, posterior cingulate, and posterior temporal lobes in Alpha and Alpha-2...
September 2016: Applied Psychophysiology and Biofeedback
Weidong Cai, Tianwen Chen, Luca Szegletes, Kaustubh Supekar, Vinod Menon
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is increasingly viewed as a disorder stemming from disturbances in large-scale brain networks, yet the exact nature of these impairments in affected children is poorly understood. We investigated a saliency-based triple-network model and tested the hypothesis that cross-network interactions between the salience network (SN), central executive network, and default mode network are dysregulated in children with ADHD. We also determined whether network dysregulation measures can differentiate children with ADHD from control subjects across multisite datasets and predict clinical symptoms...
November 2, 2015: Biological Psychiatry
Chung-Yi Li, Hai-Han Lu, Cheng-Ling Ying, Chun-Jen Cheng, Che-Yu Lin, Zhi-Wei Wan, Jian-Hua Chen
A full-duplex CATV/wireless-over-fiber lightwave transmission system consisting of one broadband light source (BLS), two optical interleavers (ILs), one intensity modulator, and one phase modulator is proposed and experimentally demonstrated. The downstream light is optically promoted from 10Gbps/25GHz microwave (MW) data signal to 10Gbps/100GHz and 10Gbps/50GHz millimeter-wave (MMW) data signals in fiber-wireless convergence, and intensity-modulated with 50-550 MHz CATV signal. For up-link transmission, the downstream light is phase-remodulated with 10Gbps/25GHz MW data signal in fiber-wireless convergence...
April 6, 2015: Optics Express
Suhyung Cho, Yoo-Bok Cho, Taek Jin Kang, Sun Chang Kim, Bernhard Palsson, Byung-Kwan Cho
DNA-binding motifs that are recognized by transcription factors (TFs) have been well studied; however, challenges remain in determining the in vivo architecture of TF-DNA complexes on a genome-scale. Here, we determined the in vivo architecture of Escherichia coli arginine repressor (ArgR)-DNA complexes using high-throughput sequencing of exonuclease-treated chromatin-immunoprecipitated DNA (ChIP-exo). The ChIP-exo has a unique peak-pair pattern indicating 5' and 3' ends of ArgR-binding region. We identified 62 ArgR-binding loci, which were classified into three groups, comprising single, double and triple peak-pairs...
March 31, 2015: Nucleic Acids Research
Huaguang Zhang, Junyi Wang, Zhanshan Wang, Hongjing Liang
This paper investigates the stochastic synchronization problem for Markovian hybrid coupled neural networks with interval time-varying mode-delays and random coupling strengths. The coupling strengths are mutually independent random variables and the coupling configuration matrices are nonsymmetric. A mode-dependent augmented Lyapunov-Krasovskii functional (LKF) is proposed, where some terms involving triple or quadruple integrals are considered, which makes the LKF matrices mode-dependent as much as possible...
November 2015: IEEE Transactions on Neural Networks and Learning Systems
R Rakkiyappan, A Chandrasekar, G Petchiammal
This paper deals with the problem of robust synchronization for uncertain chaotic neutral-type Markovian jumping neural networks with randomly occurring uncertainties and randomly occurring control gain fluctuations. Then, a sufficient condition is proposed for the existence of non-fragile output controller in terms of linear matrix inequalities (LMIs). Uncertainty terms are separately taken into consideration. This network involves both mode dependent discrete and mode dependent distributed time-varying delays...
November 2014: ISA Transactions
María Salomé Gachet, Peter Rhyn, Oliver G Bosch, Boris B Quednow, Jürg Gertsch
Free arachidonic acid is functionally interlinked with different lipid signaling networks including those involving prostanoid pathways, the endocannabinoid system, N-acylethanolamines, as well as steroids. A sensitive and specific LC-MS/MS method for the quantification of arachidonic acid, prostaglandin E2, thromboxane B2, anandamide, 2-arachidonoylglycerol, noladin ether, lineoyl ethanolamide, oleoyl ethanolamide, palmitoyl ethanolamide, steroyl ethanolamide, aldosterone, cortisol, dehydroepiandrosterone, progesterone, and testosterone in human plasma was developed and validated...
January 22, 2015: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
Yue Wang, Yan Qi, Vladislav A Blatov, Jimin Zheng, Qun Li, Chao Zhang
Two new zinc coordination complexes, namely [Zn2(tib)4/3(L(1))2]·DMA (1) and [Zn2(tib)4/3(L(2))2]·H2O (2) (tib = 1,3,5-tris(1-imidazolyl)benzene, H2L(1) = biphenyl-4,4'-dicarboxylic acid, H2L(2) = 4,4'-(2,2'-oxybis(ethane-2,1-diyl)bis(oxy))dibenzoic acid and DMA = N,N-dimethylacetamide), are obtained using achiral mixed ligands and characterized using elemental analysis, IR and X-ray crystallography. Compounds 1 and 2 both display intriguing structural features of both interpenetration and self-catenation...
October 28, 2014: Dalton Transactions: An International Journal of Inorganic Chemistry
Tae H Lee, S Lakshmanan, Ju H Park, P Balasubramaniam
This paper considers the state estimation problem for Markovian jumping genetic regulatory networks (GRNs) with mode-dependent leakage and time-varying delays. In order to approximate the true concentrations of the mRNA and protein, the state estimator is designed using available measurement outputs. The GRNs are composed of N modes. The system switches from one mode to another according to a Markovian chain with known transition probabilities. Based on the Lyapunov functionals, including triple integral terms, some inequalities, and a time-varying delay partitioning approach, delay-dependent criteria which employ all upper bounds of time delays of each mode are obtained in terms of linear matrix inequalities (LMIs)...
December 2013: IEEE Transactions on Nanobioscience
Tereza Nekovarova, Iveta Fajnerova, Jiri Horacek, Filip Spaniel
Schizophrenia is a complex neuropsychiatric disorder with variable symptomatology, traditionally divided into positive and negative symptoms, and cognitive deficits. However, the etiology of this disorder has yet to be fully understood. Recent findings suggest that alteration of the basic sense of self-awareness may be an essential distortion of schizophrenia spectrum disorders. In addition, extensive research of social and mentalizing abilities has stressed the role of distortion of social skills in schizophrenia...
2014: Frontiers in Behavioral Neuroscience
Ramesh K Jha, Tiziano Gaiotto, Andrew R M Bradbury, Charlie E M Strauss
Protein G is an IgG binding protein that has been widely exploited for biotechnological purposes. Rosetta protein modeling identified a set of favorable polar mutations in Protein G, at its binding interface with the Fc domain of Immunoglobulin G, that were predicted to increase the stability and tighten the binding relative to native Protein G, with only a minor perturbation of the binding mode seen in the crystal structure. This triple mutant was synthesized and evaluated experimentally. Relative to the native protein G, the mutant showed a 3...
April 2014: Protein Engineering, Design & Selection: PEDS
R Rakkiyappan, A Chandrasekar, F A Rihan, S Lakshmanan
In this paper, we investigate a problem of exponential state estimation for Markovian jumping genetic regulatory networks with mode-dependent probabilistic time-varying delays. A new type of mode-dependent probabilistic leakage time-varying delay is considered. Given the probability distribution of the time-delays, stochastic variables that satisfying Bernoulli random binary distribution are formulated to produce a new system which includes the information of the probability distribution. Under these circumstances, the state estimator is designed to estimate the true concentration of the mRNA and the protein of the GRNs...
May 2014: Mathematical Biosciences
Thomas P White, Nina Helkjær Engen, Susan Sørensen, Morten Overgaard, Sukhi S Shergill
Our subjective confidence about particular events is related to but independent from the objective certainty of the stimuli we encounter. Surprisingly, previous investigations of the neurophysiological correlates of confidence and uncertainty have largely been carried out separately. After systematically reviewing the blood oxygenation-level dependent functional magnetic resonance imaging (BOLD fMRI) literature, and splitting studies on the basis of their task requirements, a voxel-based meta-analysis was performed to identify: (i) those regions which are replicably modulated by the uncertainty of environmental conditions; (ii) those regions whose activity is robustly affected by our subjective confidence; and (iii) those regions differentially activated at these contrasting times...
March 2014: Brain and Cognition
Anselm Doll, Christian Sorg, Andrei Manoliu, Andreas Wöller, Chun Meng, Hans Förstl, Claus Zimmer, Afra M Wohlschläger, Valentin Riedl
Borderline personality disorder (BPD) is characterized by "stable instability" of emotions and behavior and their regulation. This emotional and behavioral instability corresponds with a neurocognitive triple network model of psychopathology, which suggests that aberrant emotional saliency and cognitive control is associated with aberrant interaction across three intrinsic connectivity networks [i.e., the salience network (SN), default mode network (DMN), and central executive network (CEN)]. The objective of the current study was to investigate whether and how such triple network intrinsic functional connectivity (iFC) is changed in patients with BPD...
2013: Frontiers in Human Neuroscience
Satoshi Fukuchi, Takayuki Amemiya, Shigetaka Sakamoto, Yukiko Nobe, Kazuo Hosoda, Yumiko Kado, Seiko D Murakami, Ryotaro Koike, Hidekazu Hiroaki, Motonori Ota
IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature, is a collection of intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. Since its previous publication in 2012, the number of entries in IDEAL has almost tripled (120 to 340). In addition to the increase in quantity, the quality of IDEAL has been significantly improved. The new IDEAL incorporates the interactions of IDPs and their binding partners more explicitly, and illustrates the protein-protein interaction (PPI) networks and the structures of protein complexes...
January 2014: Nucleic Acids Research
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