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https://www.readbyqxmd.com/read/29791600/unilateral-spatial-neglect-in-the-acute-phase-of-ischemic-stroke-can-predict-long-term-disability-and-functional-capacity
#1
Gustavo José Luvizutto, Augusta Fabiana Moliga, Gabriela Rizzo Soares Rizzatti, Marcelo Ortolani Fogaroli, Eduardo de Moura Neto, Hélio Rubens de Carvalho Nunes, Luiz Antônio de Lima Resende, Rodrigo Bazan
OBJECTIVE: The aim of this study was to assess the relationship between the degree of unilateral spatial neglect during the acute phase of stroke and long-term functional independence. METHODS: This was a prospective study of right ischemic stroke patients in which the independent variable was the degree of spatial neglect and the outcome that was measured was functional independence. The potential confounding factors included sex, age, stroke severity, topography of the lesion, risk factors, glycemia and the treatment received...
May 21, 2018: Clinics
https://www.readbyqxmd.com/read/29791077/alterations-of-brain-network-hubs-in-reflex-syncope-evidence-from-a-graph-theoretical-analysis-based-on-dti
#2
Bong Soo Park, Yoo Jin Lee, Jin-Han Park, Il Hwan Kim, Si Hyung Park, Ho-Joon Lee, Kang Min Park
OBJECTIVE: We evaluated global topology and organization of regional hubs in the brain networks and microstructural abnormalities in the white matter of patients with reflex syncope. METHODS: Twenty patients with reflex syncope and thirty healthy subjects were recruited, and they underwent diffusion tensor imaging (DTI) scans. Graph theory was applied to obtain network measures based on extracted DTI data, using DSI Studio. We then investigated differences in the network measures between the patients with reflex syncope and the healthy subjects...
May 23, 2018: Brain and Behavior
https://www.readbyqxmd.com/read/29789780/quantitative-motion-analysis-of-tai-chi-chuan-the-upper-extremity-movement
#3
Tsung-Jung Ho, Kuei-Ting Chou, Cheng-Hsuan Li, Bor-Chen Kuo, Tzung-Chi Huang
The quantitative and reproducible analysis of the standard body movement in Tai Chi Chuan (TCC) was performed in this study. We aimed to provide a reference of the upper extremities for standardizing TCC practice. Microsoft Kinect was used to record the motion during the practice of TCC. The preparation form and eight essential forms of TCC performed by an instructor and 101 practitioners were analyzed in this study. The instructor completed an entire TCC practice cycle and performed the cycle 12 times. An entire cycle of TCC was performed by practitioners and images were recorded for statistics analysis...
2018: BioMed Research International
https://www.readbyqxmd.com/read/29789654/direct-observation-of-pitting-corrosion-evolutions-on-carbon-steel-surfaces-at-the-nano-to-micro-scales
#4
Peng Guo, Erika Callagon La Plante, Bu Wang, Xin Chen, Magdalena Balonis, Mathieu Bauchy, Gaurav Sant
The Cl- -induced corrosion of metals and alloys is of relevance to a wide range of engineered materials, structures, and systems. Because of the challenges in studying pitting corrosion in a quantitative and statistically significant manner, its kinetics remain poorly understood. Herein, by direct, nano- to micro-scale observations using vertical scanning interferometry (VSI), we examine the temporal evolution of pitting corrosion on AISI 1045 carbon steel over large surface areas in Cl- -free, and Cl- -enriched solutions...
May 22, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29788786/emergency-room-visits-for-chronic-obstructive-pulmonary-disease-in-illinois-counties-an-epidemiological-study-based-on-the-social-ecological-model
#5
Justin T McDaniel
Objectives This study aimed to determine the predictive capability of the Social Ecological Model for emergency room visits for acute exacerbation of chronic obstructive pulmonary disease. Methods County-level secondary data ( n = 102) on emergency room visits for chronic obstructive pulmonary disease were retrieved from the Illinois Department of Public Health for 2016. Data for variables operationalized from the intrapersonal, interpersonal, institutional, community, and public policy levels of the Social Ecological Model were retrieved from several sources...
January 1, 2018: Chronic Illness
https://www.readbyqxmd.com/read/29788035/a-bayesian-hidden-potts-mixture-model-for-analyzing-lung-cancer-pathology-images
#6
Qiwei Li, Xinlei Wang, Faming Liang, Faliu Yi, Yang Xie, Adi Gazdar, Guanghua Xiao
Digital pathology imaging of tumor tissues, which captures histological details in high resolution, is fast becoming a routine clinical procedure. Recent developments in deep-learning methods have enabled the identification, characterization, and classification of individual cells from pathology images analysis at a large scale. This creates new opportunities to study the spatial patterns of and interactions among different types of cells. Reliable statistical approaches to modeling such spatial patterns and interactions can provide insight into tumor progression and shed light on the biological mechanisms of cancer...
May 18, 2018: Biostatistics
https://www.readbyqxmd.com/read/29787997/depth-based-whole-body-photoplethysmography-in-remote-pulmonary-function-testing
#7
Vahid Soleimani, Majid Mirmehdi, Dima Damen, Massimo Camplani, Sion Hannuna, Charles Sharp, James Dodd
OBJECTIVE: We propose a novel depth-based photoplethysmography (dPPG) approach to reduce motion artifacts in respiratory volume-time data and improve the accuracy of remote pulmonary function testing (PFT) measures. METHOD: Following spatial and temporal calibration of two opposing RGB-D sensors, a dynamic three-dimensional model of the subject performing PFT is reconstructed and used to decouple trunk movements from respiratory motions. Depth-based volume-time data is then retrieved, calibrated, and used to compute 11 clinical PFT measures for forced vital capacity and slow vital capacity spirometry tests...
June 2018: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/29787433/investigation-of-spatial-organization-of-chromosome-territories-in-chromosome-exchange-aberrations-after-ionizing-radiation-exposure
#8
Adayabalam S Balajee, Jacob T Sanders, Rosela Golloshi, Igor Shuryak, Rachel Patton McCord, Nicholas Dainiak
Higher-order organization of the human genome is well established with chromosomes occupying distinct domains or territories in the interphase nucleus. Spatial organization of chromosome territories in the interphase nucleus occurs in a cell-type-specific manner. Since both stable and unstable aberrations induced by ionizing radiation involve the exchange of material between two or more chromosomes, this study investigated the role of spatial organization of chromosome domains in ionizing-radiation-induced chromosome translocation events...
July 2018: Health Physics
https://www.readbyqxmd.com/read/29787380/an-image-reconstruction-method-with-locally-adaptive-gating-scheme-for-pet-data
#9
Jizhe Wang, Yun Dong, Hongdi Li, Tao Feng
In conventional gating approaches for PET, a single number of gates is predetermined for the whole field of view (FOV) regardless of spatially variant motion blurring effects, which compromises image quality by under-gating regions of large motion and over-gating static regions. To achieve the best resolution-noise trade-off for the whole FOV, we proposed a new approach that incorporates spatially variant number of gates into gated image reconstruction. The first step is to estimate motion amplitude of each spatial location...
May 22, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29786463/hybrid-diffusion-imaging-in-mild-traumatic-brain-injury
#10
Yu-Chien Wu, Sourajit Mitra Mustafi, Jaroslaw Harezlak, Chandana Kodiweera, Laura A Flashman, Thomas McAllister
Mild traumatic brain injury (mTBI) is an important public health problem. Although conventional medical imaging techniques can detect moderate-to-severe injuries, they are relatively insensitive to mTBI. In this study, we used hybrid diffusion imaging (HYDI) to detect white-matter alterations in nineteen patients with mTBI and 23 other trauma-control patients. Within 15 days (SD=10) of brain injury, all subjects underwent magnetic-resonance HYDI and were assessed with battery of neuropsychological tests of sustained attention, memory, and executive function...
May 22, 2018: Journal of Neurotrauma
https://www.readbyqxmd.com/read/29784946/interpretable-dimensionality-reduction-of-single-cell-transcriptome-data-with-deep-generative-models
#11
Jiarui Ding, Anne Condon, Sohrab P Shah
Single-cell RNA-sequencing has great potential to discover cell types, identify cell states, trace development lineages, and reconstruct the spatial organization of cells. However, dimension reduction to interpret structure in single-cell sequencing data remains a challenge. Existing algorithms are either not able to uncover the clustering structures in the data or lose global information such as groups of clusters that are close to each other. We present a robust statistical model, scvis, to capture and visualize the low-dimensional structures in single-cell gene expression data...
May 21, 2018: Nature Communications
https://www.readbyqxmd.com/read/29784006/secure-corridor-for-infraacetabular-screws-in-acetabular-fracture-fixation-a-3-d-radiomorphometric-analysis-of-124-pelvic-ct-datasets
#12
Stephan Arlt, Hansrudi Noser, Andreas Wienke, Florian Radetzki, Gunther Olaf Hofmann, Thomas Mendel
BACKGROUND: Acetabular fracture surgery is directed toward anatomical reduction and stable fixation to allow for the early functional rehabilitation of an injured hip joint. Recent biomechanical investigations have shown the superiority of using an additional screw in the infraacetabular (IA) region, thereby transfixing the separated columns to strengthen the construct by closing the periacetabular fixation frame. However, the inter-individual existence and variance concerning secure IA screw corridors are poorly understood...
May 21, 2018: Journal of Orthopaedic Surgery and Research
https://www.readbyqxmd.com/read/29783843/big-groundwater-datasets-reveal-possible-rare-contamination-amid-otherwise-improved-water-quality-for-some-analytes-in-a-region-of-marcellus-shale-development
#13
Tao Wen, Xianzeng Niu, Matthew Gonzales, Guanjie Zheng, Zhenhui Li, Susan Louise Brantley
Eleven thousand groundwater samples collected in the 2010s in an area of Marcellus shale-gas development are analyzed to assess spatial and temporal patterns of water quality. Using a new data mining technique, we confirm previous observations that methane concentrations in groundwater tend to be naturally elevated in valleys and near faults, but we also show that methane is also more concentrated near anticlines. Data mining also highlights waters with elevated methane that are not otherwise explained by geologic features...
May 22, 2018: Environmental Science & Technology
https://www.readbyqxmd.com/read/29782994/structural-covariance-of-brain-region-volumes-is-associated-with-both-structural-connectivity-and-transcriptomic-similarity
#14
Yohan Yee, Darren J Fernandes, Leon French, Jacob Ellegood, Lindsay S Cahill, Dulcie A Vousden, Leigh Spencer Noakes, Jan Scholz, Matthijs C van Eede, Brian J Nieman, John G Sled, Jason P Lerch
An organizational pattern seen in the brain, termed structural covariance, is the statistical association of pairs of brain regions in their anatomical properties. These associations, measured across a population as covariances or correlations usually in cortical thickness or volume, are thought to reflect genetic and environmental underpinnings. Here, we examine the biological basis of structural volume covariance in the mouse brain. We first examined large scale associations between brain region volumes using an atlas-based approach that parcellated the entire mouse brain into 318 regions over which correlations in volume were assessed, for volumes obtained from 153 mouse brain images via high-resolution MRI...
May 18, 2018: NeuroImage
https://www.readbyqxmd.com/read/29780811/does-size-matter-to-models-exploring-the-effect-of-herd-size-on-outputs-of-a-herd-level-disease-spread-simulator
#15
Mary Van Andel, Tracey Hollings, Richard Bradhurst, Andrew Robinson, Mark Burgman, M Carolyn Gates, Paul Bingham, Tim Carpenter
Disease spread modeling is widely used by veterinary authorities to predict the impact of emergency animal disease outbreaks in livestock and to evaluate the cost-effectiveness of different management interventions. Such models require knowledge of basic disease epidemiology as well as information about the population of animals at risk. Essential demographic information includes the production system, animal numbers, and their spatial locations yet many countries with significant livestock industries do not have publically available and accurate animal population information at the farm level that can be used in these models...
2018: Frontiers in Veterinary Science
https://www.readbyqxmd.com/read/29780348/spatiotemporal-propagation-of-the-cortical-atrophy-population-and-individual-patterns
#16
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman
Repeated failures in clinical trials for Alzheimer's disease (AD) have raised a strong interest for the prodromal phase of the disease. A better understanding of the brain alterations during this early phase is crucial to diagnose patients sooner, to estimate an accurate disease stage, and to give a reliable prognosis. According to recent evidence, structural alterations in the brain are likely to be sensitive markers of the disease progression. Neuronal loss translates in specific spatiotemporal patterns of cortical atrophy, starting in the enthorinal cortex and spreading over other cortical regions according to specific propagation pathways...
2018: Frontiers in Neurology
https://www.readbyqxmd.com/read/29779901/white-matter-disruptions-in-patients-with-bipolar-disorder
#17
Lucija Abramovic, Marco P M Boks, Annabel Vreeker, Sanne Verkooijen, Annet H van Bergen, Roel A Ophoff, René S Kahn, Neeltje E M van Haren
Bipolar disorder (BD) patients show aberrant white matter microstructure compared to healthy controls but little is known about the relation with clinical characteristics. We therefore investigated the relation of white matter microstructure with the main pharmacological treatments as well its relation with IQ. Patients with BD (N = 257) and controls (N = 167) underwent diffusion tensor imaging (DTI) and comprehensive clinically assessments including IQ estimates. DTI images were analyzed using tract-based spatial statistics...
May 17, 2018: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/29778968/environmental-risk-factors-associated-with-low-birth-weight-the-case-study-of-the-haifa-bay-area-in-israel
#18
Alina Svechkina, Jonathan Dubnov, Boris A Portnov
BACKGROUND: Low birth weight (LBW) is known to be associated with infant mortality and postnatal health complications. Previous studies revealed strong relationships between LBW rate and several socio-demographic factors, including ethnicity, maternal age, and family income. However, studies of association between LBW rate and environmental risk factors remain infrequent. STUDY METHODS: We retrieved a geo-referenced data set, containing 7216 individual records of children born in 2015 in the Haifa Bay Area in Israel...
May 17, 2018: Environmental Research
https://www.readbyqxmd.com/read/29778925/deep-learning-strategy-for-accurate-carotid-intima-media-thickness-measurement-an-ultrasound-study-on-japanese-diabetic-cohort
#19
Mainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, Damodar Reddy Edla, Elisa Cuadrado Godia, Luca Saba, Harman S Suri, Tomaž Omerzu, John R Laird, Narendra N Khanna, Andrew Nicolaides, Jasjit S Suri
MOTIVATION: The carotid intima-media thickness (cIMT) is an important biomarker for cardiovascular diseases and stroke monitoring. This study presents an intelligence-based, novel, robust, and clinically-strong strategy that uses a combination of deep-learning (DL) and machine-learning (ML) paradigms. METHODOLOGY: A two-stage DL-based system (a class of AtheroEdge™ systems) was proposed for cIMT measurements. Stage I consisted of a convolution layer-based encoder for feature extraction and a fully convolutional network-based decoder for image segmentation...
May 12, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29778047/source-identification-and-spatial-distribution-of-arsenic-and-heavy-metals-in-agricultural-soil-around-hunan-industrial-estate-by-positive-matrix-factorization-model-principle-components-analysis-and-geo-statistical-analysis
#20
Xiaowen Zhang, Shuai Wei, Qianqian Sun, Syed Abdul Wadood, Boli Guo
Characterizing the distribution and defining potential sources of arsenic and heavy metals are the basic preconditions for reducing the contamination of heavy metals and metalloids. 71 topsoil samples and 61 subsoil samples were collected by grid method to measure the concentration of cadmium (Cd), arsenic (As), lead (Pb), copper (Cu), zinc (Zn), nickel (Ni) and chromium (Cr). Principle components analysis (PCA), GIS-based geo-statistical methods and Positive Matrix Factorization (PMF) were applied. The results showed that the mean concentrations were 9...
May 16, 2018: Ecotoxicology and Environmental Safety
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