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https://www.readbyqxmd.com/read/28213446/acetylcholine-release-in-prefrontal-cortex-promotes-gamma-oscillations-and-theta-gamma-coupling-during-cue-detection
#1
W M Howe, H J Gritton, N Lusk, Erik A Roberts, Vaughn L Hetrick, Joshua D Berke, Martin Sarter
The capacity for using external cues to guide behavior ("cue detection") constitutes an essential aspect of attention and goal-directed behavior. The cortical cholinergic input system, via phasic increases in prefrontal acetylcholine release, plays an essential role in attention by mediating such cue detection. However, the relationship between cholinergic signaling during cue detection and neural activity dynamics in prefrontal networks remains unclear. Here we combined sub-second measures of cholinergic signaling, neurophysiological recordings, and cholinergic receptor blockade to delineate the cholinergic contributions to prefrontal oscillations during cue detection in rats...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28188956/the-neural-substrate-of-gait-and-executive-function-relationship-in-elderly-women-a-pet-study
#2
Ryota Sakurai, Kenji Ishii, Masashi Yasunaga, Rumi Takeuchi, Yoh Murayama, Naoko Sakuma, Muneyuki Sakata, Keiichi Oda, Kenji Ishibashi, Kiichi Ishiwata, Yoshinori Fujiwara, Manuel Montero-Odasso
AIM: Understanding the relationship between age-related gait impairment, such as slow gait, and executive functioning in seniors may help identify individuals at higher risk of mobility decline, falls, and progression to dementia at earlier stages. We aim to identify brain regions concomitantly associated with poor gait and executive functioning in a cohort of well-functioning elderly women. METHODS: In total, 149 well-functioning women aged 70.1 ± 6.2 years underwent FDG-PET to evaluate regional cerebral metabolic rates of glucose normalized in reference to cerebellar glucose metabolic value (normalized-rCMRglc) in 16 brain areas...
February 11, 2017: Geriatrics & Gerontology International
https://www.readbyqxmd.com/read/28179882/connecting-artificial-brains-to-robots-in-a-comprehensive-simulation-framework-the-neurorobotics-platform
#3
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois C Knoll, Marc-Oliver Gewaltig
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28179180/developing-a-3-choice-serial-reaction-time-task-for-examining-neural-and-cognitive-function-in-an-equine-model
#4
Kirsty Roberts, Andrew J Hemmings, Sebastian D McBride, Matthew O Parker
BACKGROUND: Large animal models of human neurological disorders are advantageous compared to rodent models due to their neuroanatomical complexity, longevity and their ability to be maintained in naturalised environments. Some large animal models spontaneously develop behaviours that closely resemble the symptoms of neural and psychiatric disorders. The horse is an example of this; the domestic form of this species consistently develops spontaneous stereotypic behaviours akin to the compulsive and impulsive behaviours observed in human neurological disorders such as Tourette's syndrome...
February 5, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28165409/older-people-s-experiences-of-mobility-and-mood-in-an-urban-environment-a-mixed-methods-approach-using-electroencephalography-eeg-and-interviews
#5
Sara Tilley, Chris Neale, Agnès Patuano, Steve Cinderby
There are concerns about mental wellbeing in later life in older people as the global population becomes older and more urbanised. Mobility in the built environment has a role to play in improving quality of life and wellbeing, as it facilitates independence and social interaction. Recent studies using neuroimaging methods in environmental psychology research have shown that different types of urban environments may be associated with distinctive patterns of brain activity, suggesting that we interact differently with varying environments...
February 4, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28129188/adaptive-tracking-control-for-robots-with-an-interneural-computing-scheme
#6
Feng-Sheng Tsai, Sheng-Yi Hsu, Mau-Hsiang Shih
Adaptive tracking control of mobile robots requires the ability to follow a trajectory generated by a moving target. The conventional analysis of adaptive tracking uses energy minimization to study the convergence and robustness of the tracking error when the mobile robot follows a desired trajectory. However, in the case that the moving target generates trajectories with uncertainties, a common Lyapunov-like function for energy minimization may be extremely difficult to determine. Here, to solve the adaptive tracking problem with uncertainties, we wish to implement an interneural computing scheme in the design of a mobile robot for behavior-based navigation...
January 24, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28125034/prediction-of-air-pollutants-concentration-based-on-an-extreme-learning-machine-the-case-of-hong-kong
#7
Jiangshe Zhang, Weifu Ding
With the development of the economy and society all over the world, most metropolitan cities are experiencing elevated concentrations of ground-level air pollutants. It is urgent to predict and evaluate the concentration of air pollutants for some local environmental or health agencies. Feed-forward artificial neural networks have been widely used in the prediction of air pollutants concentration. However, there are some drawbacks, such as the low convergence rate and the local minimum. The extreme learning machine for single hidden layer feed-forward neural networks tends to provide good generalization performance at an extremely fast learning speed...
January 24, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28124181/drosophila-dunc-115-mediates-axon-projection-through-actin-binding
#8
Christopher Roblodowski, Qi He
A central step in organizing the central nervous system development is the growth cone of an axon navigating through guidance cues to reach its specific target. While a great deal of this process has been understood especially in identifying the extracellular guidance cues and their membrane receptors, much less is known about how guidance signals are further relayed to the actin filaments that are central to the mobility of the growth cone. The previous results from our laboratory have shown that Drosophila gene dunc-115 regulates axon projection in the eye and the central nervous system...
March 2017: Invertebrate Neuroscience: IN
https://www.readbyqxmd.com/read/28117445/dermatologist-level-classification-of-skin-cancer-with-deep-neural-networks
#9
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun
Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of skin lesions using images is a challenging task owing to the fine-grained variability in the appearance of skin lesions. Deep convolutional neural networks (CNNs) show potential for general and highly variable tasks across many fine-grained object categories. Here we demonstrate classification of skin lesions using a single CNN, trained end-to-end from images directly, using only pixels and disease labels as inputs...
February 2, 2017: Nature
https://www.readbyqxmd.com/read/28103196/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks
#10
Julius Hannink, Thomas Kautz, Cristian Pasluosta, Karl-Gunter Gassmann, Jochen Klucken, Bjoern Eskofier
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however, limited in their clinical applicability due to the underlying assumptions. To overcome this, we present a method to translate the abstract information provided by wearable sensors to context-related expert features based on deep convolutional neural networks. Regarding mobile gait analysis, this enables integration-free and data-driven extraction of a set of eight spatio-temporal stride parameters...
December 8, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28100830/neural-bases-of-recommendations-differ-according-to-social-network-structure
#11
Matthew Brook O'Donnell, Joseph B Bayer, Christopher N Cascio, Emily B Falk
Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others-high information brokers-use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. 'mentalizing') more when spreading ideas...
January 18, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/28078074/fes-in-europe-and-beyond-current-translational-research
#12
Christine Azevedo Coste, Winfried Mayr, Manfred Bijak, Antonio Musarò, Ugo Carraro
Capacity of adult neural and muscle tissues to respond to external Electrical Stimulation (ES) is the biological basis for the development and implementation of mobility impairment physiotherapy protocols and of related assistive technologies, e.g, Functional Electrical Stimulation (FES). All body tissues, however, respond to electrical stimulation and, indeed, the most successful application of FES is electrical stimulation of the heart to revert or limit effects of arrhythmias (Pace-makers and Defibrillators)...
September 15, 2016: European Journal of Translational Myology
https://www.readbyqxmd.com/read/28069607/lysophosphatidic-acid-converts-monocytes-into-macrophages-in-both-mice-and-humans
#13
Rashmi Ray, Vivek Rai
Monocytes and macrophages represent critical arms of the innate immune system and are considered regulators and effectors of inflammation and innate immune response. Monocytes can mobilize from bone marrow, traffic to their required destination and differentiate into effector cells depending on the local tissue environment to perform multiple roles during infection or inflammation, making them an important component of body's immune defense. Macrophages have diverse roles in tissue homeostasis, development as well as tissue repair following injury...
January 9, 2017: Blood
https://www.readbyqxmd.com/read/28045973/neuro-analogical-gate-tuning-of-trajectory-data-fusion-for-a-mecanum-wheeled-special-needs-chair
#14
Ahmed K El-Shenawy, M A ElSaharty, Ezz Eldin Zakzouk
Trajectory tracking of mobile wheeled chairs using internal shaft encoder and inertia measurement unit(IMU), exhibits several complications and accumulated errors in the tracking process due to wheel slippage, offset drift and integration approximations. These errors can be realized when comparing localization results from such sensors with a camera tracking system. In long trajectory tracking, such errors can accumulate and result in significant deviations which make data from these sensors unreliable for tracking...
2017: PloS One
https://www.readbyqxmd.com/read/28026018/a-preliminary-investigation-into-the-morphology-of-oral-papillae-and-denticles-of-blue-sharks-prionace-glauca-with-inferences-about-its-functional-significance-across-life-stages
#15
Bianca de S Rangel, Natascha Wosnick, Neil Hammerschlag, Adriano P Ciena, José Roberto Kfoury Junior, Rose E G Rici
Sensory organs in elasmobranchs (sharks, skates, rays) detect and respond to a different set of biotic and/or abiotic stimuli, through sight, smell, taste, hearing, mechanoreception and electroreception. Although gustation is crucial for survival and essential for growth, mobility, and maintenance of neural activity and the proper functioning of the immune system, comparatively little is known about this sensory system in elasmobranchs. Here we present a preliminary investigation into the structural and dimensional characteristics of the oral papillae and denticles found in the oropharyngeal cavity of the blue shark (Prionace glauca) during embryonic development through adulthood...
December 27, 2016: Journal of Anatomy
https://www.readbyqxmd.com/read/28017637/psychological-and-neural-mechanisms-associated-with-effort-related-cardiovascular-reactivity-and-cognitive-control-an-integrative-approach
#16
Nicolas Silvestrini
Numerous studies have assessed cardiovascular (CV) reactivity as a measure of effort mobilization during cognitive tasks. However, psychological and neural processes underlying effort-related CV reactivity are still relatively unclear. Previous research reliably found that CV reactivity during cognitive tasks is mainly determined by one region of the brain, the dorsal anterior cingulate cortex (dACC), and that this region is systematically engaged during cognitively demanding tasks. The present integrative approach builds on the research on cognitive control and its brain correlates that shows that dACC function can be related to conflict monitoring and integration of information related to task difficulty and success importance-two key variables in determining effort mobilization...
December 22, 2016: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28003732/regulation-of-photoreceptor-gene-transcription-via-a-highly-conserved-transcriptional-regulatory-element-by-vsx-gene-products
#17
Yi Pan, Daniel F Comiskey, Lisa E Kelly, Dawn S Chandler, Heithem M El-Hodiri
PURPOSE: The photoreceptor conserved element-1 (PCE-1) sequence is found in the transcriptional regulatory regions of many genes expressed in photoreceptors. The retinal homeobox (Rx or Rax) gene product functions by binding to PCE-1 sites. However, other transcriptional regulators have also been reported to bind to PCE-1. One of these, vsx2, is expressed in retinal progenitor and bipolar cells. The purpose of this study is to identify Xenopus laevis vsx gene products and characterize vsx gene product expression and function with respect to the PCE-1 site...
2016: Molecular Vision
https://www.readbyqxmd.com/read/27959826/sensor-based-gait-parameter-extraction-with-deep-convolutional-neural-networks
#18
Julius Hannink, Thomas Kautz, Cristian Pasluosta, Karl-Gunter Gassmann, Jochen Klucken, Bjoern Eskofier
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however, limited in their clinical applicability due to the underlying assumptions. To overcome this, we present a method to translate the abstract information provided by wearable sensors to context-related expert features based on deep convolutional neural networks. Regarding mobile gait analysis, this enables integration-free and data-driven extraction of a set of eight spatio-temporal stride parameters...
December 8, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27924614/gdf11-treatment-attenuates-the-recovery-of-skeletal-muscle-function-after-injury-in-older-rats
#19
Yu Zhou, Neel Sharma, David Dukes, Maria B Myzithras, Priyanka Gupta, Ashraf Khalil, Julius Kahn, Jennifer S Ahlberg, David B Hayes, Michael Franti, Tracy Criswell
Loss of skeletal muscle mass and function results in loss of mobility for elderly patients. Novel therapies that can protect and/or restore muscle function during aging would have profound effects on the quality of life for this population. Growth differentiation factor 11 (GDF11) has been proposed as a "youthful" circulating factor that can restore cardiac, neural, and skeletal muscle functions in aging animals. However, conflicting data has been recently published that casts doubt on these assertions. We used a complex rat model of skeletal muscle injury that physiologically mimics injuries seen in patients; to investigate the ability of GDF11 and to enhance skeletal muscle regeneration after injury in older rats...
December 6, 2016: AAPS Journal
https://www.readbyqxmd.com/read/27923975/efficacy-of-nonselective-optogenetic-control-of-the-medial-septum-over-hippocampal-oscillations-the-influence-of-speed-and-implications-for-cognitive-enhancement
#20
Benjamin J Blumberg, Sean P Flynn, Sylvain J Barriere, Philippe R Mouchati, Rod C Scott, Gregory L Holmes, Jeremy M Barry
Optogenetics holds great promise for both the dissection of neural circuits and the evaluation of theories centered on the temporal organizing properties of oscillations that underpin cognition. To date, no studies have examined the efficacy of optogenetic stimulation for altering hippocampal oscillations in freely moving wild-type rats, or how these alterations would affect performance on behavioral tasks. Here, we used an AAV virus to express ChR2 in the medial septum (MS) of wild-type rats, and optically stimulated septal neurons at 6 Hz and 30 Hz...
December 2016: Physiological Reports
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