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https://www.readbyqxmd.com/read/29783076/disrupted-reward-and-cognitive-control-networks-contribute-to-anhedonia-in-depression
#1
Liang Gong, Cancan He, Haisan Zhang, Hongxing Zhang, Zhijun Zhang, Chunming Xie
Neuroimaging studies have identified that anhedonia, a core feature of major depressive disorder (MDD), is associated with dysfunction in reward and cognitive control processing. However, it is still not clear how the reward network (β-network) and the cognitive control network (δ-network) are linked to biased anhedonia in MDD patients. Sixty-eight MDD patients and 64 cognitively normal (CN) subjects underwent a resting-state functional magnetic resonance imaging scan. A 2*2 ANCOVA analysis was used to explore the differences in the nucleus accumbens-based, voxelwise functional connectivity (FC) between the groups...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29782993/generalized-recurrent-neural-network-accommodating-dynamic-causal-modeling-for-functional-mri-analysis
#2
Yuan Wang, Yao Wang, Yvonne W Lui
Dynamic Causal Modeling (DCM) is an advanced biophysical model which explicitly describes the entire process from experimental stimuli to functional magnetic resonance imaging (fMRI) signals via neural activity and cerebral hemodynamics. To conduct a DCM study, one needs to represent the experimental stimuli as a compact vector-valued function of time, which is hard in complex tasks such as book reading and natural movie watching. Deep learning provides the state-of-the-art signal representation solution, encoding complex signals into compact dense vectors while preserving the essence of the original signals...
May 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29782584/including-traffic-jam-avoidance-in-an-agent-based-network-model
#3
Christian Hofer, Georg Jäger, Manfred Füllsack
Background: Understanding traffic is an important challenge in different scientific fields. While there are many approaches to constructing traffic models, most of them rely on origin-destination data and have difficulties when phenomena should be investigated that have an effect on the origin-destination matrix. Methods: A macroscopic traffic model is introduced that is novel in the sense that no origin-destination data are required as an input. This information is generated from mobility behavior data using a hybrid approach between agent-based modeling to find the origin and destination points of each vehicle and network techniques to find efficiently the routes most likely used to connect those points...
2018: Computational social networks
https://www.readbyqxmd.com/read/29781781/gene-expression-microarray-analysis-reveals-prognostic-markers-of-survival-in-high-grade-astrocytomas
#4
Jun Yang, Ziming Hou, Changjiang Wang, Hao Wang, Hongbing Zhang
OBJECTIVE: High grade astrocytoma (HGA) as an aggressive brain tumor, is always correlated with poor prognosis. In this paper, we aimed to explore the genetic prognostic biomarkers for HGA. METHODS: The genome-wide expression profile of 26 brain tumor samples obtained from 26 patients with HGA was downloaded from Gene Expression Omnibus. The risk genes for prognosis of HGA were identified and verified by the data in TCGA database. Protein-protein interaction (PPI) network of risk factor genes was constructed and significant module was screened...
May 21, 2018: Neurological Research
https://www.readbyqxmd.com/read/29781401/screening-of-prognostic-risk-micrornas-for-acute-myeloid-leukemia
#5
Hai-Yan Gao, Wei Wang, Xin-Guo Luo, Yong-Fang Jiang, Xin He, Ping Xu, Xi Chen, Xiao-Yun Li
OBJECTIVES: This study aimed to investigate the risk miRNAs (microRNAs) for AML (acute myeloid leukemia) prognosis and related regulatory mechanisms. METHODS: MiRNA and gene expression data, as well as clinical data of 176 patients were first downloaded from TCGA. Then miRNAs and genes significantly affecting the survival time based on KM survival curve were identified using Log Rank test. Next, COX proportional-hazard regression analysis was performed to screen the risk miRNAs (P-value < 0...
May 19, 2018: Hematology (Amsterdam, Netherlands)
https://www.readbyqxmd.com/read/29780993/ideal-reversible-polymer-networks
#6
German Alberto Parada, Xuanhe Zhao
In this article we introduce the concept of ideal reversible polymer networks, which have well-controlled polymer network structures similar to ideal covalent polymer networks but exhibit viscoelastic behaviors due to the presence of reversible crosslinks. We first present a theory to describe the mechanical properties of ideal reversible polymer networks. Because short polymer chains of equal length are used to construct the network, there are no chain entanglements and the chains' Rouse relaxation time is much shorter than the reversible crosslinks' characteristic time...
May 21, 2018: Soft Matter
https://www.readbyqxmd.com/read/29780309/generation-of-individual-whole-brain-atlases-with-resting-state-fmri-data-using-simultaneous-graph-computation-and-parcellation
#7
J Wang, Z Hao, H Wang
The human brain can be characterized as functional networks. Therefore, it is important to subdivide the brain appropriately in order to construct reliable networks. Resting-state functional connectivity-based parcellation is a commonly used technique to fulfill this goal. Here we propose a novel individual subject-level parcellation approach based on whole-brain resting-state functional magnetic resonance imaging (fMRI) data. We first used a supervoxel method known as simple linear iterative clustering directly on resting-state fMRI time series to generate supervoxels, and then combined similar supervoxels to generate clusters using a clustering method known as graph-without-cut (GWC)...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29779749/relating-movements-in-aesthetic-spaces-immersing-distancing-and-remembering
#8
Sophie De Beukelaer, Ruben Azevedo, Manos Tsakiris
According to Aby Warburg, the aesthetic experience is informed by a pendulum-like movement of the observer's mind that allows him to immerse as well as to take distance from the artwork's composing elements. To account for Warburg's definition, we are proposing embodied simulation and associative processing as constitutive mechanisms of this pendulum-like movement within the aesthetic experience that enable the observer to relate to the displayed artistic material within aesthetic spaces. Furthermore, we suggest that associative processing elicits constructive memory processes that permit the development of a knowledge within which the objects of art become part of memory networks, potentially informing future ways of thinking, feeling, and behaving in real-world situations, as an individual or collectively...
2018: Progress in Brain Research
https://www.readbyqxmd.com/read/29779710/comorbidity-network-for-chronic-disease-a-novel-approach-to-understand-type-2-diabetes-progression
#9
Arif Khan, Shahadat Uddin, Uma Srinivasan
BACKGROUND: Chronic diseases management outside expensive hospital settings has become a major target for governments, funders and healthcare service providers. It is well known that chronic diseases such as Type 2 Diabetes (T2D) do not occur in isolation, and has a shared aetiology common to many other diseases and disorders. Diabetes Australia reports that it is associated with a myriad of complications, which affect the feet, eyes, kidneys, and cardiovascular health. For instance, nerve damage in the lower limbs affects around 13% of Australians with diabetes, diabetic retinopathy occurs in over 15% of Australians with diabetes, and diabetes is now the leading cause of end-stage kidney disease...
July 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29779309/-the-survival-prediction-model-of-advanced-gallbladder-cancer-based-on-bayesian-network-a-multi-institutional-study
#10
Z H Tang, Z M Geng, C Chen, S B Si, Z Q Cai, T Q Song, P Gong, L Jiang, Y H Qiu, Y He, W L Zhai, S P Li, Y C Zhang, Y Yang
Objective: To investigate the clinical value of Bayesian network in predicting survival of patients with advanced gallbladder cancer(GBC)who underwent curative intent surgery. Methods: The clinical data of patients with advanced GBC who underwent curative intent surgery in 9 institutions from January 2010 to December 2015 were analyzed retrospectively.A median survival time model based on a tree augmented naïve Bayes algorithm was established by Bayesia Lab software.The survival time, number of metastatic lymph nodes(NMLN), T stage, pathological grade, margin, jaundice, liver invasion, age, sex and tumor morphology were included in this model...
May 1, 2018: Zhonghua Wai Ke za Zhi [Chinese Journal of Surgery]
https://www.readbyqxmd.com/read/29778837/defining-host-responses-during-systemic-bacterial-infection-through-construction-of-a-murine-organ-proteome-atlas
#11
John D Lapek, Robert H Mills, Jacob M Wozniak, Anaamika Campeau, Ronnie H Fang, Xiaoli Wei, Kirsten van de Groep, Araceli Perez-Lopez, Nina M van Sorge, Manuela Raffatellu, Rob Knight, Liangfang Zhang, David J Gonzalez
Group A Streptococcus (GAS) remains one of the top 10 deadliest human pathogens worldwide despite its sensitivity to penicillin. Although the most common GAS infection is pharyngitis (strep throat), it also causes life-threatening systemic infections. A series of complex networks between host and pathogen drive invasive infections, which have not been comprehensively mapped. Attempting to map these interactions, we examined organ-level protein dynamics using a mouse model of systemic GAS infection. We quantified over 11,000 proteins, defining organ-specific markers for all analyzed tissues...
April 28, 2018: Cell Systems
https://www.readbyqxmd.com/read/29777900/material-basis-research-for-huangqi-jianzhong-tang-against-chronic-atrophic-gastritis-rats-through-integration-of-urinary-metabonomics-and-systemsdock
#12
Yuetao Liu, Wenqian Xu, GuoHong Wang, Xuemei Qin
ETHNOPHARMACOLOGICAL RELEVANCE: Huangqi Jianzhong Tang (HQJZ), a celebrated traditional Chinese medicine (TCM), is commonly used for treatment of chronic atrophic gastritis (CAG) in China. AIM OF THE STUDY: We aimed to screen out the material basis of HQJZ against CAG. MATERIALS AND METHODS: CAG rat model was constructed by alternant administrations of ammonia solution and sodium deoxycholate, and the hunger disorder method. Body weight, biochemical indexes and histopathological exam were used to evaluate the efficacy of HQJZ...
May 16, 2018: Journal of Ethnopharmacology
https://www.readbyqxmd.com/read/29777117/a-logic-based-method-to-build-signaling-networks-and-propose-experimental-plans
#13
Adrien Rougny, Pauline Gloaguen, Nathalie Langonné, Eric Reiter, Pascale Crépieux, Anne Poupon, Christine Froidevaux
With the dramatic increase of the diversity and the sheer quantity of biological data generated, the construction of comprehensive signaling networks that include precise mechanisms cannot be carried out manually anymore. In this context, we propose a logic-based method that allows building large signaling networks automatically. Our method is based on a set of expert rules that make explicit the reasoning made by biologists when interpreting experimental results coming from a wide variety of experiment types...
May 18, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29776385/generation-of-ventilation-perfusion-ratio-map-in-surgical-patients-by-dual-energy-ct-after-xenon-inhalation-and-intravenous-contrast-media
#14
Kohei Aoki, Yotaro Izumi, Wataru Watanabe, Yuji Shimizu, Hisato Osada, Norinari Honda, Toshihide Itoh, Mitsuo Nakayama
BACKGROUND: While many studies have evaluated the change in lung volume before and after lung resection and correlated this with pulmonary function test results, there is very little evidence on the changes in ventilation perfusion ratio (V/Q) before versus after lung resection. In the present pilot study, we evaluated if V/Q mapping can be constructed using dual energy CT images. METHODS: Thirty-one lung cancer patients planned for pulmonary resection were included in this study...
May 18, 2018: Journal of Cardiothoracic Surgery
https://www.readbyqxmd.com/read/29776358/associations-between-local-descriptive-norms-for-overweight-obesity-and-insufficient-fruit-intake-individual-level-diet-and-10-year-change-in-body-mass-index-and-glycosylated-haemoglobin-in-an-australian-cohort
#15
Suzanne J Carroll, Theo Niyonsenga, Neil T Coffee, Anne W Taylor, Mark Daniel
BACKGROUND: Descriptive norms (what other people do) relate to individual-level dietary behaviour and health outcome including overweight and obesity. Descriptive norms vary across residential areas but the impact of spatial variation in norms on individual-level diet and health is poorly understood. This study assessed spatial associations between local descriptive norms for overweight/obesity and insufficient fruit intake (spatially-specific local prevalence), and individual-level dietary intakes (fruit, vegetable and sugary drinks) and 10-year change in body mass index (BMI) and glycosylated haemoglobin (HbA1c )...
May 18, 2018: International Journal of Behavioral Nutrition and Physical Activity
https://www.readbyqxmd.com/read/29776320/gis-based-planning-system-for-managing-the-flow-of-construction-and-demolition-waste-in-brazil
#16
Diogo Henrique Fernandes da Paz, Kalinny Patrícia Vaz Lafayette, Maria do Carmo Sobral
The objective of this article was to plan a network for municipal management of construction and demolition waste in Brazil with the assistance of a geographic information system, using the city of Recife as a case study. The methodology was carried out in three stages. The first was to map the illegal construction and demolition of waste disposal points across Recife and classify the waste according to its recyclability. In sequence, a method for indicating suitable areas for installation of voluntary delivery points, for small waste generators, are presented...
May 1, 2018: Waste Management & Research
https://www.readbyqxmd.com/read/29776158/clusters-in-nonsmooth-oscillator-networks
#17
Rachel Nicks, Lucie Chambon, Stephen Coombes
For coupled oscillator networks with Laplacian coupling, the master stability function (MSF) has proven a particularly powerful tool for assessing the stability of the synchronous state. Using tools from group theory, this approach has recently been extended to treat more general cluster states. However, the MSF and its generalizations require the determination of a set of Floquet multipliers from variational equations obtained by linearization around a periodic orbit. Since closed form solutions for periodic orbits are invariably hard to come by, the framework is often explored using numerical techniques...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29776147/sparse-dynamical-boltzmann-machine-for-reconstructing-complex-networks-with-binary-dynamics
#18
Yu-Zhong Chen, Ying-Cheng Lai
Revealing the structure and dynamics of complex networked systems from observed data is a problem of current interest. Is it possible to develop a completely data-driven framework to decipher the network structure and different types of dynamical processes on complex networks? We develop a model named sparse dynamical Boltzmann machine (SDBM) as a structural estimator for complex networks that host binary dynamical processes. The SDBM attains its topology according to that of the original system and is capable of simulating the original binary dynamical process...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29775313/force-field-for-water-based-on-neural-network
#19
Hao Wang, Weitao Yang
We developed a novel neural network based force field for water based on training with high level ab initio theory. The force field was built based on electrostatically embedded many-body expansion method truncated at binary interactions. Many-body expansion method is a common strategy to partition the total Hamiltonian of large systems into a hierarchy of few-body terms. Neural networks were trained to represent electrostatically embedded one-body and two-body interactions, which require as input only one and two water molecule calculations at the level of ab initio electronic structure method CCSD/aug-cc-pVDZ embedded in the molecular mechanics water environment, making it efficient as a general force field construction approach...
May 18, 2018: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/29774905/dual-emissions-and-thermochromic-luminescences-of-isomorphic-chiral-twofold-interpenetrated-3-d-nets-built-from-i-1-o-2-type-hybrid-inorganic-organic-frameworks-of-nh-2-ch-3-2-3-pb-2-x-3-bdc-2-x-br-i
#20
Shao-Xian Liu, Guo-Jun Yuan, Lu Zhai, Lifeng Wang, Hong-Bin Luo, Xiao-Ming Ren
Two pairs of MOF-based hybrid enantiomorphs, [NH2(CH3)2]3[Pb2X3(BDC)2] (H2BDC = 1,4-benzenedicarboxylic acid, X = Br or I), have been synthesized using the solvothermal reaction and then manually separated, which are labeled as 1a/1b (X = Br) and 2a/2b (X = I). The isomorphic 1a and 2a crystallize in tetragonal space group P43212, and the isomorphic 1b and 2b in the enantiomorphic space group P41212. Twofold interpenetrated three-dimensional (3-D) networks were built from two sets of equivalent I1O2 type hybrid inorganic-organic frameworks in 1a/1b and 2a/2b...
May 18, 2018: Dalton Transactions: An International Journal of Inorganic Chemistry
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