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https://www.readbyqxmd.com/read/29778947/dissociable-contributions-of-dorsal-and-ventral-striatal-regions-on-a-rodent-cost-benefit-decision-making-task-requiring-cognitive-effort
#1
Mason M Silveira, Melanie Tremblay, Catharine A Winstanley
Cognitive effort is a ubiquitous process, yet surprisingly little is known about the brain mechanisms responsible for evaluating it. Here, we utilize the rat Cognitive Effort Task (rCET) to probe the striatum's role in deciding between options that vary in the amount of cognitive effort required for success. In the rCET, animals choose to perform either an easy trial, in which the attentional demand is low but the potential reward is small, or a difficult trial which is more attentionally demanding but can yield twice the sugar pellets...
April 24, 2018: Neuropharmacology
https://www.readbyqxmd.com/read/29777824/brain-network-segregation-and-integration-during-an-epoch-related-working-memory-fmri-experiment
#2
Peter Fransson, Björn C Schiffler, William Hedley Thompson
The characterization of brain subnetwork segregation and integration has previously focused on changes that are detectable at the level of entire sessions or epochs of imaging data. In this study, we applied time-varying functional connectivity analysis together with temporal network theory to calculate point-by-point estimates in subnetwork segregation and integration during an epoch-based (2-back, 0-back, baseline) working memory fMRI experiment as well as during resting-state. This approach allowed us to follow task-related changes in subnetwork segregation and integration at a high temporal resolution...
May 16, 2018: NeuroImage
https://www.readbyqxmd.com/read/29776182/optimal-stabilization-of-boolean-networks-through-collective-influence
#3
Jiannan Wang, Sen Pei, Wei Wei, Xiangnan Feng, Zhiming Zheng
Boolean networks have attracted much attention due to their wide applications in describing dynamics of biological systems. During past decades, much effort has been invested in unveiling how network structure and update rules affect the stability of Boolean networks. In this paper, we aim to identify and control a minimal set of influential nodes that is capable of stabilizing an unstable Boolean network. For locally treelike Boolean networks with biased truth tables, we propose a greedy algorithm to identify influential nodes in Boolean networks by minimizing the largest eigenvalue of a modified nonbacktracking matrix...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29776108/group-percolation-in-interdependent-networks
#4
Zexun Wang, Dong Zhou, Yanqing Hu
In many real network systems, nodes usually cooperate with each other and form groups to enhance their robustness to risks. This motivates us to study an alternative type of percolation, group percolation, in interdependent networks under attack. In this model, nodes belonging to the same group survive or fail together. We develop a theoretical framework for this group percolation and find that the formation of groups can improve the resilience of interdependent networks significantly. However, the percolation transition is always of first order, regardless of the distribution of group sizes...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29775159/bioinformatics-functional-analysis-of-let-7a-mir-34a-and-mir-199a-b-reveals-novel-insights-into-immune-system-pathways-and-cancer-hallmarks-for-hepatocellular-carcinoma
#5
Bangly Soliman, Ahmed Salem, Mohamed Ghazy, Nourhan Abu-Shahba, Mahmoud El Hefnawi
Let-7a, miR-34a, and miR-199 a/b have gained a great attention as master regulators for cellular processes. In particular, these three micro-RNAs act as potential onco-suppressors for hepatocellular carcinoma. Bioinformatics can reveal the functionality of these micro-RNAs through target prediction and functional annotation analysis. In the current study, in silico analysis using innovative servers (miRror Suite, DAVID, miRGator V3.0, GeneTrail) has demonstrated the combinatorial and the individual target genes of these micro-RNAs and further explored their roles in hepatocellular carcinoma progression...
May 2018: Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine
https://www.readbyqxmd.com/read/29772794/amid-accurate-magnetic-indoor-localization-using-deep-learning
#6
Namkyoung Lee, Sumin Ahn, Dongsoo Han
Geomagnetic-based indoor positioning has drawn a great attention from academia and industry due to its advantage of being operable without infrastructure support and its reliable signal characteristics. However, it must overcome the problems of ambiguity that originate with the nature of geomagnetic data. Most studies manage this problem by incorporating particle filters along with inertial sensors. However, they cannot yield reliable positioning results because the inertial sensors in smartphones cannot precisely predict the movement of users...
May 17, 2018: Sensors
https://www.readbyqxmd.com/read/29772725/attention-based-recurrent-temporal-restricted-boltzmann-machine-for-radar-high-resolution-range-profile-sequence-recognition
#7
Yifan Zhang, Xunzhang Gao, Xuan Peng, Jiaqi Ye, Xiang Li
The High Resolution Range Profile (HRRP) recognition has attracted great concern in the field of Radar Automatic Target Recognition (RATR). However, traditional HRRP recognition methods failed to model high dimensional sequential data efficiently and have a poor anti-noise ability. To deal with these problems, a novel stochastic neural network model named Attention-based Recurrent Temporal Restricted Boltzmann Machine (ARTRBM) is proposed in this paper. RTRBM is utilized to extract discriminative features and the attention mechanism is adopted to select major features...
May 16, 2018: Sensors
https://www.readbyqxmd.com/read/29771992/first-description-of-echinococcus-ortleppi-and-cystic-echinococcosis-infection-status-in-chile
#8
Felipe Corrêa, Caroll Stoore, Pamina Horlacher, Mauricio Jiménez, Christian Hidalgo, Cristian A Alvarez Rojas, Guilherme Figueiredo Barros, Henrique Bunselmeyer Ferreira, Marcela Hernández, Gonzalo Cabrera, Rodolfo Paredes
Cystic echinococcosis (CE), a parasitic disease caused by the cestode Echinococcus granulosus sensu lato (s.l.), is a worldwide zoonotic infection. Although endemic in Chile, information on the molecular characteristics of CE in livestock remains scarce. Therefore we aimed to describe the status of infection with E. granulosus s.l. in cattle from central Chile and also to contribute to the study of the molecular epidemiology of this parasite. According to our results, the prevalence of CE is 18.84% in cattle, similar to previous reports from Chile, suggesting that the prevalence in Santiago Metropolitan area has not changed in the last 30 years...
2018: PloS One
https://www.readbyqxmd.com/read/29771462/different-neural-activities-support-auditory-working-memory-in-musicians-and-bilinguals
#9
Claude Alain, Yasha Khatamian, Yu He, Yunjo Lee, Sylvain Moreno, Ada W S Leung, Ellen Bialystok
Musical training and bilingualism benefit executive functioning and working memory (WM)-however, the brain networks supporting this advantage are not well specified. Here, we used functional magnetic resonance imaging and the n-back task to assess WM for spatial (sound location) and nonspatial (sound category) auditory information in musician monolingual (musicians), nonmusician bilinguals (bilinguals), and nonmusician monolinguals (controls). Musicians outperformed bilinguals and controls on the nonspatial WM task...
May 17, 2018: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/29770439/increase-of-frontal-neuronal-activity-in-chronic-neglect-after-training-in-virtual-reality
#10
U Ekman, H Fordell, J Eriksson, N Lenfeldt, A Wåhlin, A Eklund, J Malm
OBJECTIVES: A third of patients with stroke acquire spatial neglect associated with poor rehabilitation outcome. New effective rehabilitation interventions are needed. Scanning training combined with multisensory stimulation to enhance the rehabilitation effect is suggested. In accordance, we have designed a virtual-reality based scanning training that combines visual, audio and sensori-motor stimulation called RehAtt® . Effects were shown in behavioural tests and activity of daily living...
May 16, 2018: Acta Neurologica Scandinavica
https://www.readbyqxmd.com/read/29769135/health-inequalities-between-employed-and-unemployed-in-northern-sweden-a-decomposition-analysis-of-social-determinants-for-mental-health
#11
Anna Brydsten, Anne Hammarström, Miguel San Sebastian
BACKGROUND: Even though population health is strongly influenced by employment and working conditions, public health research has to a lesser extent explored the social determinants of health inequalities between people in different positions on the labour market, and whether these social determinants vary across the life course. This study analyses mental health inequalities between unemployed and employed in three age groups (youth, adulthood and mid-life), and identifies the extent to which social determinants explain the mental health gap between employed and unemployed in northern Sweden...
May 16, 2018: International Journal for Equity in Health
https://www.readbyqxmd.com/read/29768860/one-pot-synthesis-of-raspberry-like-mesoporous-silica-nanospheres
#12
Tingting Liu, Lihong Liu, Wenyi Gu, Jian Liu, Shaomin Liu
Mesoporous materials with hierarchical morphologies have recently gained attention due to their structural versatility for various applications including catalysis, adsorption, energy storage and nanomedicine. However, it is still desirable for facilely controllable synthesis of mesoporous particles with tunable surface properties and oriented hierarchical structures. Here, we report a one-pot synthesis method for raspberry-like mesoporous silica nanospheres with 2 nm hollow silica nanoparticles doped on the surface...
January 1, 2018: Journal of Nanoscience and Nanotechnology
https://www.readbyqxmd.com/read/29765316/noradrenergic-dysfunction-in-alzheimer-s-and-parkinson-s-diseases-an-overview-of-imaging-studies
#13
REVIEW
Andrew C Peterson, Chiang-Shan R Li
Noradrenergic dysfunction contributes to cognitive impairment in Alzheimer's Disease (AD) and Parkinson's Disease (PD). Conventional therapeutic strategies seek to enhance cholinergic and dopaminergic neurotransmission in AD and PD, respectively, and few studies have examined noradrenergic dysfunction as a target for medication development. We review the literature of noradrenergic dysfunction in AD and PD with a focus on human imaging studies that implicate the locus coeruleus (LC) circuit. The LC sends noradrenergic projections diffusely throughout the cerebral cortex and plays a critical role in attention, learning, working memory, and cognitive control...
2018: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/29765144/mind-wandering-and-task-focused-attention-erp-correlates
#14
Óscar F Gonçalves, Gabriel Rêgo, Tatiana Conde, Jorge Leite, Sandra Carvalho, Olívia Morgan Lapenta, Paulo S Boggio
Previous studies looking at how Mind Wandering (MW) impacts performance in distinct Focused Attention (FA) systems, using the Attention Network Task (ANT), showed that the presence of pure MW thoughts did not impact the overall performance of ANT (alert, orienting and conflict) performance. However, it still remains unclear if the lack of interference of MW in the ANT, reported at the behavioral level, has a neurophysiological correspondence. We hypothesize that a distinct cortical processing may be required to meet attentional demands during MW...
May 15, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29764678/re-engaging-with-places-understanding-bio-geo-graphical-disruption-and-flow-in-adult-brain-injury-survivors
#15
Louise Meijering, Nicky Theunissen, Ant T Lettinga
Acquired Brain Injury (ABI) is one of the most common causes of disability and death in adults worldwide. After a period of rehabilitation, many ABI survivors still face complex mind/body conditions when they try to take up their former life again. Besides lasting visible impairments such as weakness and loss of body balance, there are often less obvious disabilities such as extreme fatigue, hypersensitivity for stimuli, memory, concentration and attention problems or personality changes. The aim of this paper is to understand how ABI survivors and their significant others renegotiate their engagements with everyday places, using the concepts of bio-geo-graphical disruption and flow...
May 5, 2018: Social Science & Medicine
https://www.readbyqxmd.com/read/29761197/facile-fabrication-of-thermo-redox-responsive-hydrogels-based-on-a-dual-crosslinked-matrix-for-a-smart-on-off-switch
#16
Na Sun, Panpan Sun, Aoli Wu, Xuanxuan Qiao, Fei Lu, Liqiang Zheng
Stimuli-responsive or "smart" soft materials have raised considerable attention due to their ability to spontaneously respond to external environmental variations and have a great potential for wide applications. Herein, a thermo/redox responsive hydrogel is facilely constructed based on a dual crosslinked matrix: the primary chemical crosslinked copolymer is composed of thermo-responsive poly(N-isopropylacrylamide) (PNIPAM) and poly(ionic liquid), and the secondary physical crosslinking component is generated by the ionic coordination between iron ions and carboxyl groups in the poly(ionic liquid)...
May 15, 2018: Soft Matter
https://www.readbyqxmd.com/read/29760717/reduced-neuronal-transcription-of-escargot-the-drosophila-gene-encoding-a-snail-type-transcription-factor-promotes-longevity
#17
Alexander V Symonenko, Natalia V Roshina, Anna V Krementsova, Elena G Pasyukova
In recent years, several genes involved in complex neuron specification networks have been shown to control life span. However, information on these genes is scattered, and studies to discover new neuronal genes and gene cascades contributing to life span control are needed, especially because of the recognized role of the nervous system in governing homeostasis, aging, and longevity. Previously, we demonstrated that several genes that encode RNA polymerase II transcription factors and that are involved in the development of the nervous system affect life span in Drosophila melanogaster ...
2018: Frontiers in Genetics
https://www.readbyqxmd.com/read/29759956/too-important-to-ignore-leveraging-digital-technology-to-improve-chronic-illness-management-among-black-men
#18
Stuart W Grande, Ledric D Sherman
Health disparities associated with chronic illness experiences of black men demonstrate widespread, systematic failures to meet an urgent need. Well-established social and behavioral determinants that have led to health disparities among black men include racism, discrimination, and stress. While advocacy work that includes community-engagement and tailoring health promotion strategies have shown local impact, evidence shows the gaps are increasing. We suspect that failure to reduce current disparities may be due to conventional public health interventions and programs; therefore, we submit that innovative interventions, ones that embrace digital technologies and their ability to harness naturally occurring social networks within groups, like black men, have particular importance and deserve attention...
May 14, 2018: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/29759045/neuropathological-developments-in-sudden-infant-death-syndrome
#19
Fiona M Bright, Robert Vink, Roger W Byard
A wide variety of neuropathological abnormalities have been investigated in infants who have died of sudden infant death syndrome (SIDS). Issues which detracted from early studies included failure to use uniform definitions of SIDS and lack of appropriately matched control populations. Development of the triple risk model focused attention on the concept of an inherent susceptibility to unexpected death in certain infants, with research demonstrating a role for the neurotransmitter serotonin within the brainstem...
January 1, 2018: Pediatric and Developmental Pathology
https://www.readbyqxmd.com/read/29757353/development-and-evaluation-of-a-deep-learning-model-for-protein-ligand-binding-affinity-prediction
#20
Marta M Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
Motivation: Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures. Deep learning has recently gained considerable attention as it allows the model to "learn" to extract features that are relevant for the task at hand. Results: We have developed a novel deep neural network estimating the binding affinity of ligand-receptor complexes...
May 10, 2018: Bioinformatics
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