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https://www.readbyqxmd.com/read/28214667/effects-of-prior-testing-lasting-a-full-year-in-ncanda-adolescents-contributions-from-age-sex-socioeconomic-status-ethnicity-site-family-history-of-alcohol-or-drug-abuse-and-baseline-performance
#1
Edith V Sullivan, Ty Brumback, Susan F Tapert, Devin Prouty, Rosemary Fama, Wesley K Thompson, Sandra A Brown, Kevin Cummins, Ian M Colrain, Fiona C Baker, Duncan B Clark, Tammy Chung, Michael D De Bellis, Stephen R Hooper, Bonnie J Nagel, B Nolan Nichols, Weiwei Chu, Dongjin Kwon, Kilian M Pohl, Adolf Pfefferbaum
Longitudinal study provides a robust method for tracking developmental trajectories. Yet inherent problems of retesting pose challenges in distinguishing biological developmental change from prior testing experience. We examined factors potentially influencing change scores on 16 neuropsychological test composites over 1year in 568 adolescents in the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) project. The twice-minus-once-tested method revealed that performance gain was mainly attributable to testing experience (practice) with little contribution from predicted developmental effects...
January 24, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/28213145/how-are-you-feeling-a-personalized-methodology-for-predicting-mental-states-from-temporally-observable-physical-and-behavioral-information
#2
Suppawong Tuarob, Conrad S Tucker, Soundar Kumara, C Lee Giles, Aaron L Pincus, David E Conroy, Nilam Ram
It is believed that anomalous mental states such as stress and anxiety not only cause suffering for the individuals, but also lead to tragedies in some extreme cases. The ability to predict the mental state of an individual at both current and future time periods could prove critical to healthcare practitioners. Currently, the practical way to predict an individual's mental state is through mental examinations that involve psychological experts performing the evaluations. However, such methods can be time and resource consuming, mitigating their broad applicability to a wide population...
February 14, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28213134/speech-in-noise-perception-in-musicians-a-review
#3
REVIEW
Emily B J Coffey, Nicolette Mogilever, Robert J Zatorre
The ability to understand speech in the presence of competing sound sources is an important neuroscience question in terms of how the nervous system solves this computational problem. It is also a critical clinical problem that disproportionally affects the elderly, children with language-related learning disorders, and those with hearing loss. Recent evidence that musicians have an advantage on this multifaceted skill has led to the suggestion that musical training might be used to improve or delay the decline of speech-in-noise (SIN) function...
February 14, 2017: Hearing Research
https://www.readbyqxmd.com/read/28213063/impaired-spatial-performance-in-cerebellar-deficient-lurcher-mice-is-not-associated-with-their-abnormal-stress-response
#4
Jan Tuma, Yaroslav Kolinko, Dana Jelinkova, Pascal Hilber, Jan Cendelin
Both humans and laboratory animals suffering from cerebellar lesions exhibit cognitive as well as many emotional and behavioral abnormalities. These latter have been already observed in the cerebellar mutant mice currently used to highlight some aspect of autism spectrum disorders. The aim of this study was to investigate the influence of cerebellar-related stress response abnormalities on spatial learning and memory. Cerebellar-deficient Lurcher mutant mice were exposed to water environment without active escape possibility and then tested for spatial learning in the Morris water maze...
February 14, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28212101/fast-solving-quasi-optimal-ls-s-%C3%A2-vm-based-on-an-extended-candidate-set
#5
Yuefeng Ma, Xun Liang, James T Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
The semisupervised least squares support vector machine (LS-S³VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S³VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S³VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model...
February 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28211815/generation-and-characterization-of-knock-in-mouse-models-expressing-versions-of-huntingtin-with-either-an-n17-or-a-combined-polyq-and-proline-rich-region-deletion
#6
Emily A André, Elise M Braatz, Jeh-Ping Liu, Scott O Zeitlin
BACKGROUND: The polyglutamine (polyQ) stretch of the Huntingtin protein (HTT) in mammals is flanked by a highly conserved 17 amino acid N-terminal domain (N17), and a proline-rich region (PRR). The PRR is a binding site for many HTT-interacting proteins, and the N17 domain regulates several normal HTT functions, including HTT's ability to associate with membranes and organelles. OBJECTIVE: This study investigates the consequence of deleting mouse Huntingtin's (Htt's) N17 domain or a combination of its polyQ stretch and PRR (QP) on normal Htt function in mice...
February 16, 2017: Journal of Huntington's Disease
https://www.readbyqxmd.com/read/28211000/the-implementation-and-evaluation-of-a-communication-skills-training-program-for-oncology-nurses
#7
Smita C Banerjee, Ruth Manna, Nessa Coyle, Stacey Penn, Tess E Gallegos, Talia Zaider, Carol A Krueger, Philip A Bialer, Carma L Bylund, Patricia A Parker
Many nurses express difficulty in communicating with their patients, especially in oncology settings where there are numerous challenges and high-stake decisions during the course of diagnosis and treatment. Providing specific training in communication skills is one way to enhance the communication between nurses and their patients. We developed and implemented a communication skills training program for nurses, consisting of three teaching modules: responding empathically to patients; discussing death, dying, and end-of-life goals of care; and responding to challenging interactions with families...
February 16, 2017: Translational Behavioral Medicine
https://www.readbyqxmd.com/read/28210998/on-t%C3%AF-he-distinction-between-value-driven-attention-and-selection-history-evidence-from-individuals-with-depressive-symptoms
#8
Brian A Anderson, Michelle Chiu, Michelle M DiBartolo, Stephanie L Leal
When predictive of extrinsic reward as targets, stimuli rapidly acquire the ability to automatically capture attention. Attentional biases for former targets of visual search also can develop without reward feedback but typically require much longer training. These learned biases towards former targets often are conceptualized within a single framework and might differ merely in degree. That is, both are the result of the reinforcement of selection history, with extrinsic reward for correct report of the target providing greater reinforcement than correct report alone...
February 16, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28210980/molecular-mechanisms-of-ire1%C3%AE-ask1-pathway-reactions-to-unfolded-protein-response-in-drn-neurons-of-post-traumatic-stress-disorder-rats
#9
Fanzhen Kong, Fang Han, Yanhao Xu, Yuxiu Shi
The goal of this study was to further elucidate the molecular mechanisms of post-traumatic stress disorder (PTSD) pathogenesis and to provide experimental evidence for new drug targets for effective PTSD treatment. Expression changes of IRE1α, ASK1, and other downstream molecules of the IRE1α-ASK1 endoplasmic reticulum stress (ERS) signaling pathway were investigated. JNK, P38, CHOP, Bcl-2, and Bax were analyzed at both protein and mRNA levels of dorsal raphe nucleus (DRN) neurons of PTSD rats. The rat PTSD model was established via the single-prolonged stress (SPS) method...
February 16, 2017: Journal of Molecular Neuroscience: MN
https://www.readbyqxmd.com/read/28209536/maternal-administration-of-melatonin-prevents-spatial-learning-and-memory-deficits-induced-by-developmental-ethanol-and-lead-co-exposure
#10
Elham Soleimani, Iran Goudarzi, Kataneh Abrari, Taghi Lashkarbolouki
Melatonin is a radical scavenger with the ability to remove reactive oxidant species. There is report that co-exposure to lead and ethanol during developmental stages induces learning and memory deficits and oxidative stress. Here, we studied the effect of melatonin, with strong antioxidant properties, on memory deficits induced by lead and ethanol co-exposure and oxidative stress in hippocampus. Pregnant rats in lead and ethanol co-exposure group received lead acetate of 0.2% in distilled drinking water and ethanol (4g/kg) by oral gavages once daily from the 5th day of gestation until weaning...
February 13, 2017: Physiology & Behavior
https://www.readbyqxmd.com/read/28209159/do-coursework-summative-assessments-predict-clinical-performance-a-systematic-review
#11
Rebecca Terry, Wayne Hing, Robin Orr, Nikki Milne
BACKGROUND: Two goals of summative assessment in health profession education programs are to ensure the robustness of high stakes decisions such as progression and licensing, and predict future performance. This systematic and critical review aims to investigate the ability of specific modes of summative assessment to predict the clinical performance of health profession education students. METHODS: PubMed, CINAHL, SPORTDiscus, ERIC and EMBASE databases were searched using key terms with articles collected subjected to dedicated inclusion criteria...
February 16, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28208882/pbl-trigger-design-by-medical-students-an-effective-active-learning-strategy-outside-the-classroom
#12
Maya Roche, Indira Kakkunje Adiga, Akshatha G Nayak
INTRODUCTION: Problem Based Learning (PBL) is known world over as an effective, active learning strategy with many benefits for the student. Usually, in medical schools, PBL triggers are designed by a well-trained group of faculty from basic and clinical sciences. The challenge was whether this task could be given to students in the first year of their curriculum and be executed by them effectively. AIM: To enhance active learning, comprehension and critical thinking with a view to promote horizontal and vertical integration between subjects...
December 2016: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28208764/spatial-impairment-and-memory-in-genetic-disorders-insights-from-mouse-models
#13
Sang Ah Lee, Valter Tucci, Giorgio Vallortigara
Research across the cognitive and brain sciences has begun to elucidate some of the processes that guide navigation and spatial memory. Boundary geometry and featural landmarks are two distinct classes of environmental cues that have dissociable neural correlates in spatial representation and follow different patterns of learning. Consequently, spatial navigation depends both on the type of cue available and on the type of learning provided. We investigated this interaction between spatial representation and memory by administering two different tasks (working memory, reference memory) using two different environmental cues (rectangular geometry, striped landmark) in mouse models of human genetic disorders: Prader-Willi syndrome (PWScr(m+/p-) mice, n = 12) and Beta-catenin mutation (Thr653Lys-substituted mice, n = 12)...
February 9, 2017: Brain Sciences
https://www.readbyqxmd.com/read/28208734/towards-building-a-computer-aided-education-system-for-special-students-using-wearable-sensor-technologies
#14
Raja Majid Mehmood, Hyo Jong Lee
Human computer interaction is a growing field in terms of helping people in their daily life to improve their living. Especially, people with some disability may need an interface which is more appropriate and compatible with their needs. Our research is focused on similar kinds of problems, such as students with some mental disorder or mood disruption problems. To improve their learning process, an intelligent emotion recognition system is essential which has an ability to recognize the current emotional state of the brain...
February 8, 2017: Sensors
https://www.readbyqxmd.com/read/28208671/a-passive-learning-sensor-architecture-for-multimodal-image-labeling-an-application-for-social-robots
#15
Marco A Gutiérrez, Luis J Manso, Harit Pandya, Pedro Núñez
Object detection and classification have countless applications in human-robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means dealing with constant environment changes and relatively low-quality sensor data due to the distance at which objects are often found...
February 11, 2017: Sensors
https://www.readbyqxmd.com/read/28207980/questioning-skills-of-clinical-facilitators-supporting-undergraduate-nursing-students
#16
Nicole M Phillips, Maxine M Duke, Rona Weerasuriya
AIMS AND OBJECTIVES: To report on a study investigating questioning skills of clinical facilitators who support the learning of undergraduate nursing students. BACKGROUND: The ability to think critically is integral to decision-making and the provision of safe and quality patient care. Developing students' critical thinking skills is expected of those who supervise and facilitate student learning in the clinical setting. Models used to facilitate student learning in the clinical setting have changed over the years with clinicians having dual responsibility for patient care and facilitating student learning...
February 16, 2017: Journal of Clinical Nursing
https://www.readbyqxmd.com/read/28207733/beyond-negative-valence-2-week-administration-of-a-serotonergic-antidepressant-enhances-both-reward-and-effort-learning-signals
#17
Jacqueline Scholl, Nils Kolling, Natalie Nelissen, Michael Browning, Matthew F S Rushworth, Catherine J Harmer
To make good decisions, humans need to learn about and integrate different sources of appetitive and aversive information. While serotonin has been linked to value-based decision-making, its role in learning is less clear, with acute manipulations often producing inconsistent results. Here, we show that when the effects of a selective serotonin reuptake inhibitor (SSRI, citalopram) are studied over longer timescales, learning is robustly improved. We measured brain activity with functional magnetic resonance imaging (fMRI) in volunteers as they performed a concurrent appetitive (money) and aversive (effort) learning task...
February 2017: PLoS Biology
https://www.readbyqxmd.com/read/28205604/selectively-bred-rats-provide-a-unique-model-of-vulnerability-to-ptsd-like-behavior-and-respond-differentially-to-fgf2-augmentation-early-in-life
#18
Katherine E Prater, Elyse L Aurbach, Hanna K Larcinese, Taylor N Smith, Cortney A Turner, Peter Blandino, Stanley J Watson, Stephen Maren, Huda Akil
Individuals respond differently to traumatic experiences including their propensity to develop post-traumatic stress disorder (PTSD). Understanding individual differences in PTSD vulnerability will allow the development of improved prevention and treatment options. Here, we characterized fear conditioning and extinction in rats selectively bred for differences in their locomotor response to a novel environment. Selectively bred high responder (bHR) and low responder (bLR) male rats are known to differ in their emotional reactivity on a range of measures of spontaneous anxiety- and depressive-like behaviors...
February 16, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28203531/an-fmri-study-of-implicit-language-learning-in-developmental-language-impairment
#19
Elena Plante, Dianne Patterson, Michelle Sandoval, Christopher J Vance, Arve E Asbjørnsen
Individuals with developmental language impairment can show deficits into adulthood. This suggests that neural networks related to their language do not normalize with time. We examined the ability of 16 adults with and without impaired language to learn individual words in an unfamiliar language. Adults with impaired language were able to segment individual words from running speech, but needed more time to do so than their normal-language peers. ICA analysis of fMRI data indicated that adults with language impairment activate a neural network that is comparable to that of adults with normal language...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28203249/autism-spectrum-disorder-detection-from-semi-structured-and-unstructured-medical-data
#20
Jianbo Yuan, Chester Holtz, Tristram Smith, Jiebo Luo
Autism spectrum disorder (ASD) is a developmental disorder that significantly impairs patients' ability to perform normal social interaction and communication. Moreover, the diagnosis procedure of ASD is highly time-consuming, labor-intensive, and requires extensive expertise. Although there exists no known cure for ASD, there is consensus among clinicians regarding the importance of early intervention for the recovery of ASD patients. Therefore, to benefit autism patients by enhancing their access to treatments such as early intervention, we aim to develop a robust machine learning-based system for autism detection by using Natural Language Processing techniques based on information extracted from medical forms of potential ASD patients...
December 2017: EURASIP Journal on Bioinformatics & Systems Biology
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