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https://www.readbyqxmd.com/read/28732336/using-machine-learning-to-identify-air-pollution-exposure-profiles-associated-with-early-cognitive-skills-among-u-s-children
#1
Jeanette A Stingone, Om P Pandey, Luz Claudio, Gaurav Pandey
Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goal of this study was to apply a two-stage, data-driven approach to identify associations between air pollutant exposure profiles and children's cognitive skills. Data from 6900 children enrolled in the Early Childhood Longitudinal Study, Birth Cohort, a national study of children born in 2001 and followed through kindergarten, were linked to estimated concentrations of 104 ambient air toxics in the 2002 National Air Toxics Assessment using ZIP code of residence at age 9 months...
July 18, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28732303/do-analog-number-representations-underlie-the-meanings-of-young-children-s-verbal-numerals
#2
Susan Carey, Anna Shusterman, Paul Haward, Rebecca Distefano
Children learn to count, and even learn the cardinal meanings of the first three or four verbal numerals ("one" through "three" or "four"), before they master the numerical significance of counting. If so, it follows that the cardinal meanings of those first few numerals cannot be derived, initially, from their place in the count list and the counting routine. What non-verbal representations, then, support the cardinal meanings of verbal numerals before children have mastered how counting does so? Four experiments addressed the commonly adopted assumption that in the earliest period of learning the meanings of number words, children map verbal numerals to regions of the analog number system (ANS), a system of representation with numerical content that is widely attested in animals and in human infants...
July 18, 2017: Cognition
https://www.readbyqxmd.com/read/28732273/using-computational-theory-to-constrain-statistical-models-of-neural-data
#3
REVIEW
Scott W Linderman, Samuel J Gershman
Computational neuroscience is, to first order, dominated by two approaches: the 'bottom-up' approach, which searches for statistical patterns in large-scale neural recordings, and the 'top-down' approach, which begins with a theory of computation and considers plausible neural implementations. While this division is not clear-cut, we argue that these approaches should be much more intimately linked. From a Bayesian perspective, computational theories provide constrained prior distributions on neural data-albeit highly sophisticated ones...
July 18, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/28732186/assessing-the-impact-of-surgeon-experience-on-urinary-continence-recovery-after-robot-assisted-radical-prostatectomy-results-of-four-high-volume-surgeons
#4
Nicola Fossati, Ettore Di Trapani, Giorgio Gandaglia, Paolo Dell'Oglio, Paolo Umari, Nicolò Maria Buffi, Giorgio Guazzoni, Alexander Mottrie, Franco Gaboardi, Francesco Montorsi, Alberto Briganti, Nazareno Suardi
PURPOSE: To test the impact of surgeon experience on urinary continence (UC) recovery after robot-assisted radical prostatectomy (RARP). MATERIALS AND METHODS: The study included 1477 consecutive patients treated with RARP by four surgeons between 2006 and 2014. UC recovery was defined as being completely dry over a 24-hour period at follow-up. Surgeon experience was coded as the total number of RARP performed by the surgeon before the patient's operation. Multivariable analysis tested the association between surgeon experience and UC recovery...
July 21, 2017: Journal of Endourology
https://www.readbyqxmd.com/read/28732087/a-dissociation-between-engagement-and-learning-enthusiastic-instructions-fail-to-reliably-improve-performance-on-a-memory-task
#5
Benjamin A Motz, Joshua R de Leeuw, Paulo F Carvalho, Kaley L Liang, Robert L Goldstone
Despite widespread assertions that enthusiasm is an important quality of effective teaching, empirical research on the effect of enthusiasm on learning and memory is mixed and largely inconclusive. To help resolve these inconsistencies, we conducted a carefully-controlled laboratory experiment, investigating whether enthusiastic instructions for a memory task would improve recall accuracy. Scripted videos, either enthusiastic or neutral, were used to manipulate the delivery of task instructions. We also manipulated the sequence of learning items, replicating the spacing effect, a known cognitive technique for memory improvement...
2017: PloS One
https://www.readbyqxmd.com/read/28732052/protein-asparagine-deamidation-prediction-based-on-structures-with-machine-learning-methods
#6
Lei Jia, Yaxiong Sun
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isomerization, glycosylation, oxidation etc. A more accurate prediction method for potential hotspot residues would allow their elimination or reduction as early as possible in the drug discovery process. In this work, we focus on prediction models for asparagine (Asn) deamidation...
2017: PloS One
https://www.readbyqxmd.com/read/28731445/colivelin-ameliorates-impairments-in%C3%A2-cognitive-behaviors-and-synaptic-plasticity-in-app-ps1-transgenic-mice
#7
Meina Wu, Hui Shi, Yexin He, Li Yuan, Xuesong Qu, Jun Zhang, Zhaojun Wang, Hongyan Cai, Jinshun Qi
Alzheimer's disease (AD) is the most common cause of dementia, and effective therapeutics are lacking. Colivelin (CLN), a novel, strong humanin derivative, is effective in vitro in preventing cell death induced by AD-causative genes and amyloid-β protein (Aβ) even at a low concentration. We recently demonstrated that intrahippocampal injection of CLN prevents Aβ25-35-induced deficits in spatial memory and synaptic plasticity in normal rats. Here, we further observed the effects of chronically intranasally (i...
July 19, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28731005/preparing-medical-students-with-congenital-colour-vision-deficiency-for-safe-practice
#8
Rajat Dhingra, Jolly Rohatgi, Upreet Dhaliwal
BACKGROUND: Colour vision of candidates is tested in many medical colleges in India at the time of admission to undergraduate courses; however, there are no guidelines, and therefore no counselling, on how students with congenital colour vision deficiency (CCVD) should negotiate the medical course, and how best they can practise safely after graduation. Problems in interpreting coloured signs may lead to misdiagnosis. This study aimed to explore difficulties during clinical work that requires colour discrimination, and to offer suggestions on safe practice based on the findings and a review of the literature...
January 2017: National Medical Journal of India
https://www.readbyqxmd.com/read/28730995/decoding-human-mental-states-by-whole-head-eeg-fnirs-during-category-fluency-task-performance
#9
Ahmet Omurtag, Haleh Aghajani, Hasan Onur Keles
Concurrent scalp electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), which we refer to as EEG+fNIRS, promises greater accuracy than the individual modalities while remaining nearly as convenient as EEG. We sought to quantify the hybrid system's ability to decode mental states and compare it with its unimodal components. Approach. We recorded from healthy volunteers taking the category fluency test and applied machine learning techniques to the data. Main results...
July 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28730949/eric-acute-stroke-recanalization-a-study-using-predictive-analytics-to-assess-a-new-device-for-mechanical-thrombectomy
#10
Susanne Siemonsen, Nils D Forkert, Martina Bernhardt, Götz Thomalla, Martin Bendszus, Jens Fiehler
Aim and hypothesis Using a new study design, we investigate whether next-generation mechanical thrombectomy devices improve clinical outcomes in ischemic stroke patients. We hypothesize that this new methodology is superior to intravenous tissue plasminogen activator therapy alone. Methods and design ERic Acute StrokE Recanalization is an investigator-initiated prospective single-arm, multicenter, controlled, open label study to compare the safety and effectiveness of a new recanalization device and distal access catheter in acute ischemic stroke patients with symptoms attributable to acute ischemic stroke and vessel occlusion of the internal cerebral artery or middle cerebral artery...
August 2017: International Journal of Stroke: Official Journal of the International Stroke Society
https://www.readbyqxmd.com/read/28730664/exploring-approaches-to-dietetic-assessment-of-a-common-task-across-different-universities-through-assessment-moderation
#11
C Palermo, E Volders, S Gibson, M Kennedy, A Wray, J Thomas, M Hannan-Jones, D Gallegos, E Beck
BACKGROUND: Assessment presents one of the greatest challenges to evaluating health professional trainee performance, as a result of the subjectivity of judgements and variability in assessor standards. The present study aimed to test a moderation procedure for assessment across four independent universities and explore approaches to assessment and the factors that influence assessment decisions. METHODS: Assessment tasks designed independently by each of the four universities to assess student readiness for placement were chosen for the present study...
July 20, 2017: Journal of Human Nutrition and Dietetics: the Official Journal of the British Dietetic Association
https://www.readbyqxmd.com/read/28729951/young-children-do-not-require-perceptual-motor-feedback-to-solve-aesop-s-fable-tasks
#12
Rachael Miller, Sarah A Jelbert, Elsa Loissel, Alex H Taylor, Nicola S Clayton
Aesop's Fable tasks-in which subjects drop objects into a water-filled tube to raise the water level and obtain out-of-reach floating rewards -have been used to test for causal understanding of water displacement in both young children and non-human animals. However, a number of alternative explanations for success on these tasks have yet to be ruled out. One hypothesis is that subjects may respond to perceptual-motor feedback: repeating those actions that bring the reward incrementally closer. Here, we devised a novel, forced-choice version of the Aesop's Fable task to assess whether subjects can solve water displacement tasks when this type of feedback is removed...
2017: PeerJ
https://www.readbyqxmd.com/read/28729710/learning-a-health-knowledge-graph-from-electronic-medical-records
#13
Maya Rotmensch, Yoni Halpern, Abdulhakim Tlimat, Steven Horng, David Sontag
Demand for clinical decision support systems in medicine and self-diagnostic symptom checkers has substantially increased in recent years. Existing platforms rely on knowledge bases manually compiled through a labor-intensive process or automatically derived using simple pairwise statistics. This study explored an automated process to learn high quality knowledge bases linking diseases and symptoms directly from electronic medical records. Medical concepts were extracted from 273,174 de-identified patient records and maximum likelihood estimation of three probabilistic models was used to automatically construct knowledge graphs: logistic regression, naive Bayes classifier and a Bayesian network using noisy OR gates...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28729220/cognitive-enhancement-and-antipsychotic-like-activity-following-repeated-dosing-with-the-selective-m4-pam-vu0467154
#14
Robert W Gould, Michael D Grannan, Barak W Gunter, Jacob Ball, Michael Bubser, Thomas M Bridges, Jurgen Wess, Michael W Wood, Nicholas J Brandon, Mark E Duggan, Colleen M Niswender, Craig W Lindsley, P Jeffrey Conn, Carrie K Jones
Although selective activation of the M1 muscarinic acetylcholine receptor (mAChR) subtype has been shown to improve cognitive function in animal models of neuropsychiatric disorders, recent evidence suggests that enhancing M4 mAChR function can also improve memory performance. Positive allosteric modulators (PAMs) targeting the M4 mAChR subtype have shown therapeutic potential for the treatment of multiple symptoms observed in schizophrenia, including positive and cognitive symptoms when assessed in acute preclinical dosing paradigms...
July 17, 2017: Neuropharmacology
https://www.readbyqxmd.com/read/28729138/spatial-working-memory-in-the-touchscreen-operant-platform-is-disrupted-in-female-rats-by-ovariectomy-but-not-estrous-cycle
#15
Alyssa M Sbisa, Andrea Gogos, Maarten van den Buuse
Learning and memory deficits have been described in rats and mice after ovariectomy (OVX) and across the estrous cycle. Preclinical researchers therefore often avoid using female animals and, consequently, a large male bias exists in the preclinical cognitive literature. In the present study we examined the role of sex hormones in the touchscreen operant platform using the spatial working memory trial unique nonmatching-to-location (TUNL) task. Twenty-nine Long Evans rats were trained to acquire the TUNL task including three incremental spatial separations (S0, S1, S2)...
July 17, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28729016/learning-based-structurally-guided-construction-of-resting-state-functional-correlation-tensors
#16
Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen
Functional magnetic resonance imaging (fMRI) measures changes in blood-oxygenation-level-dependent (BOLD) signals to detect brain activities. It has been recently reported that the spatial correlation patterns of resting-state BOLD signals in the white matter (WM) also give WM information often measured by diffusion tensor imaging (DTI). These correlation patterns can be captured using functional correlation tensor (FCT), which is analogous to the diffusion tensor (DT) obtained from DTI. In this paper, we propose a noise-robust FCT method aiming at further improving its quality, and making it eligible for further neuroscience study...
July 17, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28728997/sepsis-reconsidered-identifying-novel-metrics-for-behavioral-landscape-characterization-with-a-high-performance-computing-implementation-of-an-agent-based-model
#17
Chase Cockrell, Gary An
OBJECTIVES: Sepsis affects nearly 1 million people in the United States per year, has a mortality rate of 28-50% and requires more than $20 billion a year in hospital costs. Over a quarter century of research has not yielded a single reliable diagnostic test or a directed therapeutic agent for sepsis. Central to this insufficiency is the fact that sepsis remains a clinical/physiological diagnosis representing a multitude of molecularly heterogeneous pathological trajectories. Advances in computational capabilities offered by High Performance Computing (HPC) platforms call for an evolution in the investigation of sepsis to attempt to define the boundaries of traditional research (bench, clinical and computational) through the use of computational proxy models...
July 17, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28728964/association-between-proton-pump-inhibitor-use-and-cognitive-function-in-women
#18
Paul Lochhead, Kaitlin Hagan, Amit D Joshi, Hamed Khalili, Long H Nguyen, Francine Grodstein, Andrew T Chan
BACKGROUND & AIMS: Studies have reported associations between proton pump inhibitor (PPI) use and dementia. However, data are lacking on long-term PPI use and cognitive function. We therefore examined associations between PPI use and performance in tests of cognitive function. Because of shared clinical indications, we examined associations for H2 receptor antagonists (H2RAs) as a secondary aim. METHODS: We used prospectively collected data on medication use and other potential risk factors from 13,864 participants in the Nurses' Health Study II who had completed a self-administered computerized neuropsychological test battery...
July 17, 2017: Gastroenterology
https://www.readbyqxmd.com/read/28728763/implementation-of-a-school-nurse-led-intervention-for-children-with-severe-obesity-in-new-york-city-schools
#19
Krista Schroeder, Haomiao Jia, Y Claire Wang, Arlene Smaldone
PURPOSE: The Healthy Options and Physical Activity Program (HOP) is a school nurse-led intervention for children with severe obesity. HOP was developed by experts at the New York City Department of Health and Mental Hygiene and implemented in New York City schools beginning in 2012. The purpose of this study was to evaluate HOP implementation with the goal of informing HOP refinement and potential future HOP dissemination. DESIGN AND METHODS: This study entailed a retrospective analysis of secondary data...
July 2017: Journal of Pediatric Nursing
https://www.readbyqxmd.com/read/28728577/integrating-data-from-randomized-controlled-trials-and-observational-studies-to-predict-the-response-to-pregabalin-in-patients-with-painful-diabetic-peripheral-neuropathy
#20
Joe Alexander, Roger A Edwards, Alberto Savoldelli, Luigi Manca, Roberto Grugni, Birol Emir, Ed Whalen, Stephen Watt, Marina Brodsky, Bruce Parsons
BACKGROUND: More patient-specific medical care is expected as more is learned about variations in patient responses to medical treatments. Analytical tools enable insights by linking treatment responses from different types of studies, such as randomized controlled trials (RCTs) and observational studies. Given the importance of evidence from both types of studies, our goal was to integrate these types of data into a single predictive platform to help predict response to pregabalin in individual patients with painful diabetic peripheral neuropathy (pDPN)...
July 20, 2017: BMC Medical Research Methodology
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