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https://www.readbyqxmd.com/read/27913797/promoting-gait-recovery-and-limiting-neuropathic-pain-after-spinal-cord-injury-two-sides-of-the-same-coin
#1
Catherine Mercier, Meyke Roosink, Jason Bouffard, Laurent J Bouyer
Most persons living with a spinal cord injury experience neuropathic pain in the months following their lesion, at the moment where they receive intensive gait rehabilitation. Based on studies using animal models, it has been proposed that central sensitization in nociceptive pathways (maladaptive plasticity) and plasticity related to motor learning (adaptive plasticity) share common neural mechanisms and compete with each other. This article aims to address the discrepancy between the growing body of basic science literature supporting this hypothesis and the general belief in rehabilitation research that pain and gait rehabilitation represent two independent problems...
December 2, 2016: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/27913359/network-unfolding-map-by-vertex-edge-dynamics-modeling
#2
Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao
The emergence of collective dynamics in neural networks is a mechanism of the animal and human brain for information processing. In this paper, we develop a computational technique using distributed processing elements in a complex network, which are called particles, to solve semisupervised learning problems. Three actions govern the particles' dynamics: generation, walking, and absorption. Labeled vertices generate new particles that compete against rival particles for edge domination. Active particles randomly walk in the network until they are absorbed by either a rival vertex or an edge currently dominated by rival particles...
November 29, 2016: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/27913345/facial-age-estimation-with-age-difference
#3
Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, Shuicheng Yan
Age estimation based on the human face remains a significant problem in computer vision and pattern recognition. In order to estimate an accurate age or age group of a facial image, most of the existing algorithms require a huge face data set attached with age labels. This imposes a constraint on the utilization of the immensely unlabeled or weakly labeled training data, e.g. the huge amount of human photos in the social networks. These images may provide no age label, but it is easily to derive the age difference for an image pair of the same person...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27912956/further-comments-on-some-core-arguments-from-a-discussion-about-is-traditional-chinese-medicine-really-relevant
#4
Xiao Ye
A discussion on "Is traditional Chinese medicine (TCM) really relevant?" was held in the University College London (UCL) on the afternoon of 31st March, 2015. The author summarized some core viewpoints of the participants and then tried to focus on the opponent's opinions to clear up the arguments by illustrating respects of history, knowledge learning process, evidence based medicine (EBM) and strengths of TCM. This article will propose that the human health is extremely delicate and complicated and that no system of medicine can resolve all the problems of the human body...
December 2016: Complementary Therapies in Medicine
https://www.readbyqxmd.com/read/27911828/evaluating-the-evaluation-of-cancer-driver-genes
#5
Collin J Tokheim, Nickolas Papadopoulos, Kenneth W Kinzler, Bert Vogelstein, Rachel Karchin
Sequencing has identified millions of somatic mutations in human cancers, but distinguishing cancer driver genes remains a major challenge. Numerous methods have been developed to identify driver genes, but evaluation of the performance of these methods is hindered by the lack of a gold standard, that is, bona fide driver gene mutations. Here, we establish an evaluation framework that can be applied to driver gene prediction methods. We used this framework to compare the performance of eight such methods. One of these methods, described here, incorporated a machine-learning-based ratiometric approach...
November 22, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27911808/exploration-of-joint-redundancy-but-not-task-space-variability-facilitates-supervised-motor-learning
#6
Puneet Singh, Sumitash Jana, Ashitava Ghosal, Aditya Murthy
The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects...
November 29, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27911317/alzheimer-s-disease-histological-and%C3%A2-behavioral-manifestations-in%C3%A2-transgenic-mice-correlate-with%C3%A2-specific%C3%A2-gut-microbiome-state
#7
Liang Shen, Lu Liu, Hong-Fang Ji
Alzheimer's disease (AD) is a neurodegenerative brain disease and is the most common form of dementia. In recent years, many studies indicated the association of gut microbiota changes with metabolic diseases. However, the gut microbiota of AD has not been investigated. The present study aims to compare the gut microbiota in APP/PS1 transgenic mice of AD and C57/Bl6 wild-type (WT) mice by pyrosequencing the V3 and V4 regions of the bacterial 16S ribosomal RNA genes. The 3-, 6-, and 8-month-old APP/PS1 and WT mice were used to explore the effects of age on the gut microbiota...
November 28, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27911303/amylin-treatment-reduces-neuroinflammation-and-ameliorates-abnormal-patterns-of-gene-expression-in%C3%A2-the-cerebral-cortex-of-an-alzheimer-s-disease-mouse-model
#8
Erming Wang, Haihao Zhu, Xiaofan Wang, Adam Gower, Max Wallack, Jan Krzysztof Blusztajn, Neil Kowall, Wei Qiao Qiu
Our recent study has demonstrated that peripheral amylin treatment reduces the amyloid pathology in the brain of Alzheimer's disease (AD) mouse models, and improves their learning and memory. We hypothesized that the beneficial effects of amylin for AD was beyond reducing the amyloids in the brain, and have now directly tested the actions of amylin on other aspects of AD pathogenesis, especially neuroinflammation. A 10-week course of peripheral amylin treatment significantly reduced levels of cerebral inflammation markers, Cd68 and Iba1, in amyloid precursor protein (APP) transgenic mice...
November 28, 2016: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/27909613/the-novel-laparoscopic-training-3d-model-in-urology-with-surgical-anatomic-remarks-fresh-frozen-cadaveric-tissue
#9
REVIEW
Emre Huri, Mehmet Ezer, Eddie Chan
Laparoscopic surgery is routinely used to treat many urological conditions and it is the gold standard treatment option for many surgeries such as radical nephrectomy. Due to the difficulty of learning, laparoscopic training should start outside the operating room. Although it is a very different model of laparoscopic training; the aim of this review is to show the value of human cadaveric model for laparoscopic training and present our experience in this area. Fresh frozen cadaveric model in laparoscopic training, dry lab, cadaveric model, animal models and computer based simulators are the most commonly used models for laparoscopic training...
December 2016: Turkish Journal of Urology
https://www.readbyqxmd.com/read/27909395/reversal-learning-in-humans-and-gerbils-dynamic-control-network-facilitates-learning
#10
Christian Jarvers, Tobias Brosch, André Brechmann, Marie L Woldeit, Andreas L Schulz, Frank W Ohl, Marcel Lommerzheim, Heiko Neumann
Biologically plausible modeling of behavioral reinforcement learning tasks has seen great improvements over the past decades. Less work has been dedicated to tasks involving contingency reversals, i.e., tasks in which the original behavioral goal is reversed one or multiple times. The ability to adjust to such reversals is a key element of behavioral flexibility. Here, we investigate the neural mechanisms underlying contingency-reversal tasks. We first conduct experiments with humans and gerbils to demonstrate memory effects, including multiple reversals in which subjects (humans and animals) show a faster learning rate when a previously learned contingency re-appears...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27909260/prioritizing-and-funding-nepal-s-multisector-nutrition-plan
#11
Amanda Pomeroy-Stevens, Madhukar B Shrestha, Monica Biradavolu, Kusum Hachhethu, Robin Houston, Indu Sharma, Jolene Wun
BACKGROUND: Nepal has a long tradition of designing good multisectoral nutrition policy. However, success of policy implementation has varied. More evidence on how to successfully carry out multisector nutrition policy is needed. OBJECTIVE: We tracked the influence of Nepal's multisectoral nutrition plan (MSNP) on the process of priority setting and budgeting from 2014 to 2016. METHODS: This study used a mixed-method longitudinal design to track qualitative and budgetary changes related to MSNP processes nationally as well as in 3 districts...
December 2016: Food and Nutrition Bulletin
https://www.readbyqxmd.com/read/27909102/the-attraction-effect-modulates-reward-prediction-errors-and-intertemporal-choices
#12
Sebastian Gluth, Jared M Hotaling, Jörg Rieskamp
: Classical economic theory contends that the utility of a choice option should be independent of other options. This view is challenged by the attraction effect, in which the relative preference between two options is altered by the addition of a third, asymmetrically dominated option. Here, we leveraged the attraction effect in the context of intertemporal choices to test whether both decisions and reward prediction errors (RPE)-in the absence of choice-violate the independence of irrelevant alternatives principle...
December 1, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27909007/statistical-learning-signals-in-macaque-inferior-temporal-cortex
#13
Peter Kaposvari, Susheel Kumar, Rufin Vogels
Humans are sensitive to statistical regularities in their visual environment, but the nature of the underlying neural statistical learning signals still remains to be clarified. As in human behavioral and neuroimaging studies of statistical learning, we exposed rhesus monkeys to a continuous stream of images, presented without interstimulus interval or reward association. The stimulus set consisted of 3 groups of 5 images each (quintets). The stimulus order within each quintet was fixed, but the quintets were presented repeatedly in a random order without interruption...
November 30, 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/27908782/adaptive-responses-of-neuronal-mitochondria-to-bioenergetic-challenges-roles-in-neuroplasticity-and-disease-resistance
#14
REVIEW
Sophia M Raefsky, Mark P Mattson
An important concept in neurobiology is "neurons that fire together, wire together" which means that the formation and maintenance of synapses is promoted by activation of those synapses. Very similar to the effects of the stress of exercise on muscle cells, emerging findings suggest that neurons respond to activity by activating signaling pathways (e.g., Ca(2+), CREB, PGC-1α, NF-κB) that stimulate mitochondrial biogenesis and cellular stress resistance. These pathways are also activated by aerobic exercise and food deprivation, two bioenergetic challenges of fundamental importance in the evolution of the brains of all mammals, including humans...
November 28, 2016: Free Radical Biology & Medicine
https://www.readbyqxmd.com/read/27908171/automated-detection-of-white-matter-hyperintensities-of-all-sizes-in-cerebral-small-vessel-disease
#15
Mohsen Ghafoorian, Nico Karssemeijer, Inge W M van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel
PURPOSE: White matter hyperintensities (WMH) are seen on FLAIR-MRI in several neurological disorders, including multiple sclerosis, dementia, Parkinsonism, stroke and cerebral small vessel disease (SVD). WMHs are often used as biomarkers for prognosis or disease progression in these diseases, and additionally longitudinal quantification of WMHs is used to evaluate therapeutic strategies. Human readers show considerable disagreement and inconsistency on detection of small lesions. A multitude of automated detection algorithms for WMHs exists, but since most of the current automated approaches are tuned to optimize segmentation performance according to Jaccard or Dice scores, smaller WMHs often go undetected in these approaches...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27906526/statistical-learning-a-powerful-mechanism-that-operates-by-mere-exposure
#16
REVIEW
Richard N Aslin
How do infants learn so rapidly and with little apparent effort? In 1996, Saffran, Aslin, and Newport reported that 8-month-old human infants could learn the underlying temporal structure of a stream of speech syllables after only 2 min of passive listening. This demonstration of what was called statistical learning, involving no instruction, reinforcement, or feedback, led to dozens of confirmations of this powerful mechanism of implicit learning in a variety of modalities, domains, and species. These findings reveal that infants are not nearly as dependent on explicit forms of instruction as we might have assumed from studies of learning in which children or adults are taught facts such as math or problem solving skills...
December 1, 2016: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/27906494/alcohol-dependent-molecular-adaptations-of-the-nmda-receptor-system
#17
REVIEW
Nadege Morisot, Dorit Ron
Phenotypes such as motivation to consume alcohol, goal-directed alcohol seeking and habit formation contribute to the mechanisms underlying heavy alcohol use. Learning and memory processes greatly contribute to the establishment and maintenance of these behavioral phenotypes. The N-Methyl-D-Aspartate receptor (NMDAR) is a driving force of synaptic plasticity, a key cellular hallmark of learning and memory. Here, we describe data in rodents and humans linking signaling molecules that center around the NMDARs and behaviors associated with the development and/or maintenance of alcohol abuse...
December 1, 2016: Genes, Brain, and Behavior
https://www.readbyqxmd.com/read/27906174/therapeutic-advantage-of-pro-electrophilic-drugs-to-activate-the-nrf2-are-pathway-in-alzheimer-s-disease-models
#18
Stuart A Lipton, Tayebeh Rezaie, Anthony Nutter, Kevin M Lopez, James Parker, Kunio Kosaka, Takumi Satoh, Scott R McKercher, Eliezer Masliah, Nobuki Nakanishi
Alzheimer's disease (AD) is characterized by synaptic and neuronal loss, which occurs at least partially through oxidative stress induced by oligomeric amyloid-β (Aβ)-peptide. Carnosic acid (CA), a chemical found in rosemary and sage, is a pro-electrophilic compound that is converted to its active form by oxidative stress. The active form stimulates the Keap1/Nrf2 transcriptional pathway and thus production of phase 2 antioxidant enzymes. We used both in vitro and in vivo models. For in vitro studies, we evaluated protective effects of CA on primary neurons exposed to oligomeric Aβ...
December 1, 2016: Cell Death & Disease
https://www.readbyqxmd.com/read/27904573/clinical-teaching-with-emotional-intelligence-a-teaching-toolbox
#19
REVIEW
Athar Omid, Fariba Haghani, Peyman Adibi
BACKGROUND: Emotional intelligence (EI) helps humans to perceive their own and others' emotions. It helps to make better interpersonal communication that consequently leads to an increase in everyday performance and professional career. Teaching, particularly teaching in the clinical environment, is among the professions that need a high level of EI due to its relevance to human interactions. MATERIALS AND METHODS: We adopted EI competencies with characteristics of a good clinical teacher...
2016: Journal of Research in Medical Sciences: the Official Journal of Isfahan University of Medical Sciences
https://www.readbyqxmd.com/read/27903722/adenosine-kinase-deficiency-in-the-brain-results-in-maladaptive-synaptic-plasticity
#20
Ursula S Sandau, Mariana Colino-Oliveira, Abbie Jones, Bounmy Saleumvong, Shayla Q Coffman, Long Liu, Catarina Miranda-Lourenço, Cátia Palminha, Vânia L Batalha, Yiming Xu, Yuqing Huo, Maria J Diógenes, Ana M Sebastião, Detlev Boison
: Adenosine kinase (ADK) deficiency in human patients (OMIM:614300) disrupts the methionine cycle and triggers hypermethioninemia, hepatic encephalopathy, cognitive impairment, and seizures. To identify whether this neurological phenotype is intrinsically based on ADK deficiency in the brain or if it is secondary to liver dysfunction, we generated a mouse model with a brain-wide deletion of ADK by introducing a Nestin-Cre transgene into a line of conditional ADK deficient Adk(fl/fl) mice...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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