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https://www.readbyqxmd.com/read/28731448/left-frontal-hub-connectivity-during-memory-performance-supports-reserve-in-aging-and-mild-cognitive-impairment
#1
Nicolai Franzmeier, Julia C Hartmann, Alexander Nw Taylor, Migeul A Araque Caballero, Lee Simon-Vermot, Katharina Buerger, Lana M Kambeitz-Ilankovic, Birgit Ertl-Wagner, Claudia Mueller, Cihan Catak, Daniel Janowitz, Robert Stahl, Martin Dichgans, Marco Duering, Michael Ewers
Reserve in aging and Alzheimer's disease (AD) is defined as maintaining cognition at a relatively high level in the presence of neurodegeneration, an ability often associated with higher education among other life factors. Recent evidence suggests that higher resting-state functional connectivity within the frontoparietal control network, specifically the left frontal cortex (LFC) hub, contributes to higher reserve. Following up these previous resting-state fMRI findings, we probed memory-task related functional connectivity of the LFC hub as a neural substrate of reserve...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28731267/heuristic-knowledge-based-planning-for-single-isocenter-stereotactic-radiosurgery-to-multiple-brain-metastases
#2
Benjamin P Ziemer, Parag Sanghvi, Jona Hattangadi-Gluth, Kevin L Moore
PURPOSE: Single-isocenter, volumetric modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple brain metastases (multi-mets) can deliver highly conformal dose distributions and reduce overall patient treatment time compared to other techniques. However, treatment planning for multi-met cases is highly complex due to variability in numbers and sizes of brain metastases, as well as their relative proximity to organs-at-risk (OARs). The purpose of this study was to automate the VMAT planning of multi-met cases through a knowledge-based planning (KBP) approach that adapts single target SRS dose predictions to multiple target predictions...
July 21, 2017: Medical Physics
https://www.readbyqxmd.com/read/28729899/evolutionary-loss-of-melanogenesis-in-the-tunicate-molgula-occulta
#3
Claudia Racioppi, Maria Carmen Valoroso, Ugo Coppola, Elijah K Lowe, C Titus Brown, Billie J Swalla, Lionel Christiaen, Alberto Stolfi, Filomena Ristoratore
BACKGROUND: Analyzing close species with diverse developmental modes is instrumental for investigating the evolutionary significance of physiological, anatomical and behavioral features at a molecular level. Many examples of trait loss are known in metazoan populations living in dark environments. Tunicates are the closest living relatives of vertebrates and typically present a lifecycle with distinct motile larval and sessile adult stages. The nervous system of the motile larva contains melanized cells associated with geotactic and light-sensing organs...
2017: EvoDevo
https://www.readbyqxmd.com/read/28727547/designing-and-implementation-of-stable-sinusoidal-rough-neural-identifier
#4
Ghasem Ahmadi, Mohammad Teshnehlab
A rough neuron is defined as a pair of conventional neurons that are called the upper and lower bound neurons. In this paper, the sinusoidal rough-neural networks (SR-NNs) are used to identify the discrete dynamic nonlinear systems (DDNSs) with or without noise in series-parallel configuration. In the identification of periodic nonlinear systems, sinusoidal activation functions provide more efficient neural networks than the sigmoidal activation functions. Based on the Lyapunov stability theory, an online learning algorithm is developed to train the SR-NNs...
August 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28726698/experimental-study-and-artificial-neural-network-modeling-of-tartrazine-removal-by-photocatalytic-process-under-solar-light
#5
Aicha Sebti, Fatiha Souahi, Faroudja Mohellebi, Sadek Igoud
This research focuses on the application of an artificial neural network (ANN) to predict the removal efficiency of tartrazine from simulated wastewater using a photocatalytic process under solar illumination. A program is developed in Matlab software to optimize the neural network architecture and select the suitable combination of training algorithm, activation function and hidden neurons number. The experimental results of a batch reactor operated under different conditions of pH, TiO2 concentration, initial organic pollutant concentration and solar radiation intensity are used to train, validate and test the networks...
July 2017: Water Science and Technology: a Journal of the International Association on Water Pollution Research
https://www.readbyqxmd.com/read/28725174/altered-functional-connectivity-following-an-inflammatory-white-matter-injury-in-the-newborn-rat-a-high-spatial-and-temporal-resolution-intrinsic-optical-imaging-study
#6
Edgar Guevara, Wyston C Pierre, Camille Tessier, Luis Akakpo, Irène Londono, Frédéric Lesage, Gregory A Lodygensky
Very preterm newborns have an increased risk of developing an inflammatory cerebral white matter injury that may lead to severe neuro-cognitive impairment. In this study we performed functional connectivity (fc) analysis using resting-state optical imaging of intrinsic signals (rs-OIS) to assess the impact of inflammation on resting-state networks (RSN) in a pre-clinical model of perinatal inflammatory brain injury. Lipopolysaccharide (LPS) or saline injections were administered in postnatal day (P3) rat pups and optical imaging of intrinsic signals were obtained 3 weeks later...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28724786/emergent-cortical-circuit-dynamics-contain-dense-interwoven-ensembles-of-spike-sequences
#7
Joseph B Dechery, Jason N MacLean
Temporal codes are theoretically powerful encoding schemes, but their precise form in neocortex remains unknown in part because of the large number of possible codes and the difficulty in disambiguating informative spikes from statistical noise. A biologically plausible and computationally powerful temporal coding scheme is the Hebbian assembly phase sequence (APS), which predicts reliable propagation of spikes between functionally related assemblies of neurons. Here, we sought to measure the inherent capacity of neocortical networks to produce reliable sequences of spikes, as would be predicted by an APS code...
July 19, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28724614/nuclear-mtor-acts-as-a-transcriptional-integrator-of-the-androgen-signaling-pathway-in-prostate-cancer
#8
Étienne Audet-Walsh, Catherine R Dufour, Tracey Yee, Fatima Z Zouanat, Ming Yan, Georges Kalloghlian, Mathieu Vernier, Maxime Caron, Guillaume Bourque, Eleonora Scarlata, Lucie Hamel, Fadi Brimo, Armen G Aprikian, Jacques Lapointe, Simone Chevalier, Vincent Giguère
Androgen receptor (AR) signaling reprograms cellular metabolism to support prostate cancer (PCa) growth and survival. Another key regulator of cellular metabolism is mTOR, a kinase found in diverse protein complexes and cellular localizations, including the nucleus. However, whether nuclear mTOR plays a role in PCa progression and participates in direct transcriptional cross-talk with the AR is unknown. Here, via the intersection of gene expression, genomic, and metabolic studies, we reveal the existence of a nuclear mTOR-AR transcriptional axis integral to the metabolic rewiring of PCa cells...
July 19, 2017: Genes & Development
https://www.readbyqxmd.com/read/28723311/visual-perceptual-learning-and-models
#9
Barbara Dosher, Zhong-Lin Lu
Visual perceptual learning through practice or training can significantly improve performance on visual tasks. Originally seen as a manifestation of plasticity in the primary visual cortex, perceptual learning is more readily understood as improvements in the function of brain networks that integrate processes, including sensory representations, decision, attention, and reward, and balance plasticity with system stability. This review considers the primary phenomena of perceptual learning, theories of perceptual learning, and perceptual learning's effect on signal and noise in visual processing and decision...
July 19, 2017: Annual Review of Vision Science
https://www.readbyqxmd.com/read/28722475/ann-qsar-workflow-for-predicting-the-inhibition-of-hiv-1-reverse-transcriptase-by-pyridinone-non-nucleoside-derivatives
#10
Abolfazl Barzegar, Elham Zamani-Gharehchamani, Ali Kadkhodaie-Ilkhchi
AIM: Pyridinone derivatives have high potency against non-nucleoside reverse transcriptase inhibitor (NNRTI)-resistant human immunodeficiency virus type-1 strains. Quantitative structure-activity relationship (QSAR) studies on a series of pyridinone derivatives acting as NNRTIs are very important in designing the next generation of NNRTIs. Methodology & results: The QSAR models were developed using linear (single and forward stepwise) and combined nonlinear artificial neural network (ANN) approaches...
July 19, 2017: Future Medicinal Chemistry
https://www.readbyqxmd.com/read/28717649/circular-rna-profiling-and-bioinformatic-modeling-identify-its-regulatory-role-in-hepatic-steatosis
#11
Xing-Ya Guo, Chong-Xin He, Yu-Qin Wang, Chao Sun, Guang-Ming Li, Qing Su, Qin Pan, Jian-Gao Fan
Circular RNAs (circRNAs) exhibit a wide range of physiological and pathological activities. To uncover their role in hepatic steatosis, we investigated the expression profile of circRNAs in HepG2-based hepatic steatosis induced by high-fat stimulation. Differentially expressed circRNAs were subjected to validation using QPCR and functional analyses using principal component analysis, hierarchical clustering, target prediction, gene ontology (GO), and pathway annotation, respectively. Bioinformatic integration established the circRNA-miRNA-mRNA regulatory network so as to identify the mechanisms underlying circRNAs' metabolic effect...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28717214/cumulative-dynamics-of-independent-information-spreading-behaviour-a-physical-perspective
#12
Cangqi Zhou, Qianchuan Zhao, Wenbo Lu
The popularization of information spreading in online social networks facilitates daily communication among people. Although much work has been done to study the effect of interactions among people on spreading, there is less work that considers the pattern of spreading behaviour when people independently make their decisions. By comparing microblogging, an important medium for information spreading, with the disordered spin glass system, we find that there exist interesting corresponding relationships between them...
July 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28716967/contextual-and-developmental-differences-in-the-neural-architecture-of-cognitive-control
#13
Raluca Petrican, Cheryl L Grady
Since both development and context impact functional brain architecture, the neural connectivity signature of a cognitive or affective predisposition may similarly vary across different ages and circumstances. To test this hypothesis, we investigated the effects of age and cognitive versus social-affective context on the stable and time-varying neural architecture of inhibition, the putative core cognitive control component, in a subsample (N= 359 [22-36 yrs], 174 men) of the Human Connectome Project. Among younger individuals, a neural signature of superior inhibition emerged in both stable and dynamic connectivity analyses...
July 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28716938/dynamic-responses-of-the-adrenal-steroidogenic-regulatory-network
#14
Francesca Spiga, Eder Zavala, Jamie J Walker, Zidong Zhao, John R Terry, Stafford L Lightman
The hypothalamic-pituitary-adrenal axis is a dynamic system regulating glucocorticoid hormone synthesis in the adrenal glands. Many key factors within the adrenal steroidogenic pathway have been identified and studied, but little is known about how these factors function collectively as a dynamic network of interacting components. To investigate this, we developed a mathematical model of the adrenal steroidogenic regulatory network that accounts for key regulatory processes occurring at different timescales...
July 17, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28716636/a-simplified-clinical-prediction-rule-for-prognosticating-independent-walking-after-spinal-cord-injury-a-prospective-study-from-a-canadian-multicenter-spinal-cord-injury-registry
#15
Katharine E Hicks, Yichen Zhao, Nader Fallah, Carly Rivers, Vanessa Noonan, Tova Plashkes, Eugene K Wai, Darren M Roffey, Eve Tsai, Jerome Paquet, Najmedden Attabib, Travis Marion, Henry Ahn, Philippe Phan
BACKGROUND: Context: Traumatic spinal cord injury (SCI) is a debilitating condition with limited treatment options for neurological or functional recovery. The ability to predict the prognosis of walking post-injury with emerging prediction models could aid in rehabilitation strategies and reintegration into the community. PURPOSE: To re-validate an existing clinical prediction model for independent ambulation (van Middendorp et al. 2011) utilising acute and long-term post-injury follow-up data, and to investigate the accuracy of a simplified model using prospectively collected data from a Canadian multicenter SCI database, the Rick Hansen Spinal Cord Injury Registry (RHSCIR)...
July 14, 2017: Spine Journal: Official Journal of the North American Spine Society
https://www.readbyqxmd.com/read/28716001/variant-ranker-a-web-tool-to-rank-genomic-data-according-to-functional-significance
#16
John Alexander, Dimitris Mantzaris, Marianthi Georgitsi, Petros Drineas, Peristera Paschou
BACKGROUND: The increasing volume and complexity of high-throughput genomic data make analysis and prioritization of variants difficult for researchers with limited bioinformatics skills. Variant Ranker allows researchers to rank identified variants and determine the most confident variants for experimental validation. RESULTS: We describe Variant Ranker, a user-friendly simple web-based tool for ranking, filtering and annotation of coding and non-coding variants...
July 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28715999/factors-affecting-interactome-based-prediction-of-human-genes-associated-with-clinical-signs
#17
Sara González-Pérez, Florencio Pazos, Mónica Chagoyen
BACKGROUND: Clinical signs are a fundamental aspect of human pathologies. While disease diagnosis is problematic or impossible in many cases, signs are easier to perceive and categorize. Clinical signs are increasingly used, together with molecular networks, to prioritize detected variants in clinical genomics pipelines, even if the patient is still undiagnosed. Here we analyze the ability of these network-based methods to predict genes that underlie clinical signs from the human interactome...
July 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28715997/an-efficient-algorithm-for-improving-structure-based-prediction-of-transcription-factor-binding-sites
#18
Alvin Farrel, Jun-Tao Guo
BACKGROUND: Gene expression is regulated by transcription factors binding to specific target DNA sites. Understanding how and where transcription factors bind at genome scale represents an essential step toward our understanding of gene regulation networks. Previously we developed a structure-based method for prediction of transcription factor binding sites using an integrative energy function that combines a knowledge-based multibody potential and two atomic energy terms. While the method performs well, it is not computationally efficient due to the exponential increase in the number of binding sequences to be evaluated for longer binding sites...
July 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28713998/identification-of-micrornas-in-acute-respiratory-distress-syndrome-based-on-microrna-expression-profile-in-rats
#19
Yinghui Guan, Xiang Jin, Xingang Liu, Yuanping Huang, Man Wang, Xiaodan Li
Acute respiratory distress syndrome (ARDS) remains a severe disease associated with an ~40% mortality rate and as many as 200,000 new cases annually. MicroRNAs (miRNAs) have important roles in gene regulation and cancer development. The present study aimed to identify the potential roles of miRNAs in the pathogenesis and progression of ARDS. The miRNA expression profile of the GSE57223 dataset was downloaded from the Gene Expression Omnibus database. Following data normalization, differentially expressed miRNAs were identified using the t‑test method...
July 12, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28713985/microarray-expression-profiles-of-long-non-coding-rnas-in-germinal-center-like-diffuse-large-b-cell-lymphoma
#20
Hong-Yu Gao, Bin Wu, Wei Yan, Zi-Mu Gong, Qi Sun, Hui-Han Wang, Wei Yang
Long non-coding RNAs (lncRNAs) are continuously transcribed and are involved in various cellular activities. However, their contributions to the occurrence and development of germinal center B-cell (GCB)-like diffuse large B-cell lymphoma (DLBCL) remain largely unknown. We applied microarray technology to profile the expression of lncRNAs in two different GCB-DLBCL cell lines (OCI-ly1 and OCI-ly19) and normal B lymphocytes. We demonstrated that 21,539 lncRNAs were expressed in all of the samples analyzed...
July 14, 2017: Oncology Reports
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