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https://www.readbyqxmd.com/read/28926475/altered-resting-state-functional-connectivity-of-default-mode-network-and-sensorimotor-network-in-heavy-metal-music-lovers
#1
Yan Sun, Congcong Zhang, Shuxia Duan, Xiaoxia Du, Vince D Calhoun
The aim of this study was to investigate the spontaneous neural activity and functional connectivity (FC) in heavy metal music lovers (HMML) compared with classical music lovers (CML) during resting state. Forty HMML and 31 CML underwent resting-state functional MRI scans. Fractional amplitude of low-frequency fluctuations (fALFF) and seed-based resting-state FC were computed to explore regional activity and functional integration. A voxel-based two-sample t-test was used to test the differences between the two groups...
September 18, 2017: Neuroreport
https://www.readbyqxmd.com/read/28926232/prediction-errors-of-molecular-machine-learning-models-lower-than-hybrid-dft-error
#2
Felix A Faber, Luke Hutchison, Bing Huang, Justin Gilmer, Samuel S Schoenholz, George E Dahl, Oriol Vinyals, Steven Kearnes, Patrick F Riley, O Anatole von Lilienfeld
We investigate the impact of choosing regres- sors and molecular representations for the construction of fast machine learning (ML) models of thirteen electronic ground-state properties of organic molecules. The performance of each regressor/representation/property combination is assessed using learning curves which report out- of-sample errors as a function of training set size with up to ∼118k distinct molecules. Molecular structures and properties at hybrid density functional theory (DFT) level of theory come from the QM9 database [Ramakrishnan et al, Scientific Data 1 140022 (2014)] and include enthalpies and free energies of atomization , HOMO/LUMO energies and gap, dipole moment, polarizability, zero point vibrational energy, heat capacity and the highest fundamental vibrational frequency...
September 19, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28926230/formation-and-characterization-of-hydrogen-boride-sheets-derived-from-mgb2-by-cation-exchange
#3
Hiroaki Nishino, Takeshi Fujita, Nguyen Thanh Cuong, Satoshi Tominaka, Masahiro Miyauchi, Soshi Iimura, Akihiko Hirata, Naoto Umezawa, Susumu Okada, Eiji Nishibori, Asahi Fujino, Tomohiro Fujimori, Shin-Ichi Ito, Junji Nakamura, Hideo Hosono, Takahiro Kondo
Two-dimensional (2D) materials are promising for applications in a wide range of fields because of their unique properties. Hydrogen boride sheets, a new 2D material recently predicted from theory, exhibit intriguing electronic and mechanical properties as well as hydrogen storage capacity. Here, we report the experimental realization of 2D hydrogen boride sheets with an empirical formula of H1B1, produced by exfoliation and complete ion-exchange between protons and magnesium cations in magnesium diboride (MgB2) with an average yield of 42...
September 19, 2017: Journal of the American Chemical Society
https://www.readbyqxmd.com/read/28924878/differences-between-schizophrenic-and-normal-subjects-using-network-properties-from-fmri
#4
Youngoh Bae, Kunaraj Kumarasamy, Issa M Ali, Panagiotis Korfiatis, Zeynettin Akkus, Bradley J Erickson
Schizophrenia has been proposed to result from impairment of functional connectivity. We aimed to use machine learning to distinguish schizophrenic subjects from normal controls using a publicly available functional MRI (fMRI) data set. Global and local parameters of functional connectivity were extracted for classification. We found decreased global and local network connectivity in subjects with schizophrenia, particularly in the anterior right cingulate cortex, the superior right temporal region, and the inferior left parietal region as compared to healthy subjects...
September 18, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28924210/kinase-inhibitor-screening-using-artificial-neural-networks-and-engineered-cardiac-biowires
#5
Genevieve Conant, Samad Ahadian, Yimu Zhao, Milica Radisic
Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activation of cell growth and proliferation signals. Cardiotoxic effects have been identified for some marketed kinase inhibitors that were not detected during clinical trials. We hypothesize that more predictive cardiac functional assessments of kinase inhibitors on human myocardium can be established by combining a high-throughput two-dimensional (2D) screening assay and a high-content three-dimensional (3D) engineered cardiac tissue (Biowire(TM)) based assay, and using human induced pluripotent stem cell-derived CMs (hiPSC-CMs)...
September 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28923945/antagonism-correlates-with-metabolic-similarity-in-diverse-bacteria
#6
Jakob Russel, Henriette L Røder, Jonas S Madsen, Mette Burmølle, Søren J Sørensen
In the Origin of Species, Charles R. Darwin [Darwin C (1859) On the Origin of Species] proposed that the struggle for existence must be most intense among closely related species by means of their functional similarity. It has been hypothesized that this similarity, which results in resource competition, is the driver of the evolution of antagonism among bacteria. Consequently, antagonism should mostly be prevalent among phylogenetically and metabolically similar species. We tested the hypothesis by screening for antagonism among all possible pairwise interactions between 67 bacterial species from 8 different environments: 2,211 pairs of species and 4,422 interactions...
September 18, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28923313/functional-brain-networks-for-learning-predictive-statistics
#7
Joseph Giorgio, Vasilis M Karlaftis, Rui Wang, Yuan Shen, Peter Tino, Andrew Welchman, Zoe Kourtzi
Making predictions about future events relies on interpreting streams of information that may initially appear incomprehensible. This skill relies on extracting regular patterns in space and time by mere exposure to the environment (i.e., without explicit feedback). Yet, we know little about the functional brain networks that mediate this type of statistical learning. Here, we test whether changes in the processing and connectivity of functional brain networks due to training relate to our ability to learn temporal regularities...
August 18, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28919862/changes-in-dimensionality-and-fractal-scaling-suggest-soft-assembled-dynamics-in-human-eeg
#8
Travis J Wiltshire, Matthew J Euler, Ty L McKinney, Jonathan E Butner
Humans are high-dimensional, complex systems consisting of many components that must coordinate in order to perform even the simplest of activities. Many behavioral studies, especially in the movement sciences, have advanced the notion of soft-assembly to describe how systems with many components coordinate to perform specific functions while also exhibiting the potential to re-structure and then perform other functions as task demands change. Consistent with this notion, within cognitive neuroscience it is increasingly accepted that the brain flexibly coordinates the networks needed to cope with changing task demands...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28919414/changes-in-related-circular-rnas-following-er%C3%AE-knockdown-and-the-relationship-to-rbmsc-osteogenesis
#9
Xiaoyun Li, Bojia Peng, Xiaofeng Zhu, Panpan Wang, Yingquan Xiong, Hengrui Liu, Kehuan Sun, Haixia Wang, Ling Ou, Zhidi Wu, Xiaoguang Liu, Haibin He, Shu Mo, Xunqian Peng, Ya Tian, Ronghua Zhang, Li Yang
Recently, several studies have indicated that circular RNAs (circRNAs) play significant roles in various disease; however, Little is known about the chronology of estrogen receptor beta (ERβ) deficiency and altered circRNA expression, or their relationship with osteogenesis. Herein, we show through western-blot and quantitative real-time PCR assays, that when ERβ is silenced, the expression of osteogenesis-related proteins and mRNAs were down-regulated. We then performed RNA-Seq to analyze differential circRNA expression between the control and ERβ knockdown group...
September 15, 2017: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/28919164/integrated-analysis-of-microrna-and-gene-expression-profiles-reveals-a-functional-regulatory-module-associated-with-liver-fibrosis
#10
Wei Chen, Wenshan Zhao, Aiting Yang, Anjian Xu, Huan Wang, Min Cong, Tianhui Liu, Ping Wang, Hong You
BACKGROUND: Liver fibrosis, characterized with the excessive accumulation of extracellular matrix (ECM) proteins, represents the final common pathway of chronic liver inflammation. Ever-increasing evidence indicates microRNAs (miRNAs) dysregulation have important implications in the different stages of liver fibrosis. However, our knowledge of miRNA-gene regulation details pertaining to such disease remains unclear. METHODS: The publicly available Gene Expression Omnibus (GEO) datasets of patients suffered from cirrhosis were extracted for integrated analysis...
September 14, 2017: Gene
https://www.readbyqxmd.com/read/28919162/mir-101-1-expression-pattern-in-qinchuan-cattle-and-its-role-in-the-regulation-of-cell-differentiation
#11
Jiyao Wu, Dandan He, Binglin Yue, Chunlei Zhang, Xingtang Fang, Hong Chen
MiRNAs have emerged as key regulators of skeletal muscle development, but the knowledge of miRNAs in the molecular network of muscle development remains poorly understood. In this study, we designed to examine the biological function of bovine-miR-101-1. The bovine miR-101-1 was detected in the skeletal muscle of fetal, calf and adult cattle. Its abundance was significantly higher in the skeletal muscle of calf cattle than that in fetal and adult cattle. In the course of C2C12 myoblast differentiation, the expression of miR-101-1 gradually increased...
September 14, 2017: Gene
https://www.readbyqxmd.com/read/28918313/learning-with-three-factors-modulating-hebbian-plasticity-with-errors
#12
REVIEW
Łukasz Kuśmierz, Takuya Isomura, Taro Toyoizumi
Synaptic plasticity is a central theme in neuroscience. A framework of three-factor learning rules provides a powerful abstraction, helping to navigate through the abundance of models of synaptic plasticity. It is well-known that the dopamine modulation of learning is related to reward, but theoretical models predict other functional roles of the modulatory third factor; it may encode errors for supervised learning, summary statistics of the population activity for unsupervised learning or attentional feedback...
September 14, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/28917697/trajectories-of-brain-system-maturation-from-childhood-to-older-adulthood-implications-for-lifespan-cognitive-functioning
#13
Raluca Petrican, Margot J Taylor, Cheryl L Grady
The human brain's intrinsic functional architecture reflects behavioural history and can help elucidate the neural mechanisms underlying age-related cognitive changes. To probe this issue, we used resting state (N = 586) and behavioural (N = 255) data from a lifespan sample and tested the interactions among ten intrinsic neural systems, derived from a well-established whole-brain parcellation. Our results revealed three distinguishable profiles, whose expression strengthened with increasing age and which characterized developmental differences in connectivity within the ten systems, between networks thought to underlie cognitive control and non-control systems, and among the non-control networks...
September 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28916800/alternative-splicing-complexity-contributes-to-genetic-improvement-of-drought-resistance-in-the-rice-maintainer-huhan2b
#14
Haibin Wei, Qiaojun Lou, Kai Xu, Ming Yan, Hui Xia, Xiaosong Ma, Xinqiao Yu, Lijun Luo
Water-saving and drought-resistantce rice (WDR) breeding practices have greatly increased grain yield and drought resistance. To study the genetic basis of adaptation to drought, transcriptome sequences from the WDR maintainer line HuHan2B and the recurrent parent HanFengB were analyzed for alternative splicing (AS) complexity. Intron retention, the dominant AS type, accounted for 42% of the observed AS events. Differential expression analysis revealed transcripts were preferentially expressed in different varieties and conditions...
September 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28915785/seed-maturation-associated-transcriptional-programs-and-regulatory-networks-underlying-genotypic-difference-in-seed-dormancy-and-size-weight-in-wheat-triticum-aestivum-l
#15
Yuji Yamasaki, Feng Gao, Mark C Jordan, Belay T Ayele
BACKGROUND: Maturation forms one of the critical seed developmental phases and it is characterized mainly by programmed cell death, dormancy and desiccation, however, the transcriptional programs and regulatory networks underlying acquisition of dormancy and deposition of storage reserves during the maturation phase of seed development are poorly understood in wheat. The present study performed comparative spatiotemporal transcriptomic analysis of seed maturation in two wheat genotypes with contrasting seed weight/size and dormancy phenotype...
September 16, 2017: BMC Plant Biology
https://www.readbyqxmd.com/read/28915548/a-spatio-temporal-statistical-model-of-maximum-daily-river-temperatures-to-inform-the-management-of-scotland-s-atlantic-salmon-rivers-under-climate-change
#16
Faye L Jackson, Robert J Fryer, David M Hannah, Colin P Millar, Iain A Malcolm
The thermal suitability of riverine habitats for cold water adapted species may be reduced under climate change. Riparian tree planting is a practical climate change mitigation measure, but it is often unclear where to focus effort for maximum benefit. Recent developments in data collection, monitoring and statistical methods have facilitated the development of increasingly sophisticated river temperature models capable of predicting spatial variability at large scales appropriate to management. In parallel, improvements in temporal river temperature models have increased the accuracy of temperature predictions at individual sites...
September 14, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28913859/changes-in-frontal-and-posterior-cortical-activity-underlie-the-early-emergence-of-executive-function
#17
Aaron T Buss, John P Spencer
Executive function (EF) is a key cognitive process that emerges in early childhood and facilitates children's ability to control their own behavior. Individual differences in EF skills early in life are predictive of quality-of-life outcomes 30 years later (Moffitt et al., 2011). What changes in the brain give rise to this critical cognitive ability? Traditionally, frontal cortex growth is thought to underlie changes in cognitive control (Bunge & Zelazo, 2006; Moriguchi & Hiraki, 2009). However, more recent data highlight the importance of long-range cortical interactions between frontal and posterior brain regions...
September 15, 2017: Developmental Science
https://www.readbyqxmd.com/read/28912698/altered-rich-club-and-frequency-dependent-subnetwork-organization-in-mild-traumatic-brain-injury-a-meg-resting-state-study
#18
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis
Functional brain connectivity networks exhibit "small-world" characteristics and some of these networks follow a "rich-club" organization, whereby a few nodes of high connectivity (hubs) tend to connect more densely among themselves than to nodes of lower connectivity. The Current study followed an "attack strategy" to compare the rich-club and small-world network organization models using Magnetoencephalographic (MEG) recordings from mild traumatic brain injury (mTBI) patients and neurologically healthy controls to identify the topology that describes the underlying intrinsic brain network organization...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28912564/transcriptome-analysis-of-developing-lens-reveals-abundance-of-novel-transcripts-and-extensive-splicing-alterations
#19
Rajneesh Srivastava, Gungor Budak, Soma Dash, Salil A Lachke, Sarath Chandra Janga
Lens development involves a complex and highly orchestrated regulatory program. Here, we investigate the transcriptomic alterations and splicing events during mouse lens formation using RNA-seq data from multiple developmental stages, and construct a molecular portrait of known and novel transcripts. We show that the extent of novelty of expressed transcripts decreases significantly in post-natal lens compared to embryonic stages. Characterization of novel transcripts into partially novel transcripts (PNTs) and completely novel transcripts (CNTs) (novelty score ≥ 70%) revealed that the PNTs are both highly conserved across vertebrates and highly expressed across multiple stages...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28912425/predictive-models-of-minimal-hepatic-encephalopathy-for-cirrhotic-patients-based-on-large-scale-brain-intrinsic-connectivity-networks
#20
Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences...
September 14, 2017: Scientific Reports
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