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https://www.readbyqxmd.com/read/28438652/assessing-the-relevancy-of-highly-cited-works-in-neurosurgery-part-i-the-100-most-relevant-papers-in-neurosurgical-journals
#1
REVIEW
Michael A Bohl, Francisco A Ponce
Bibliometric analyses based on total citation count come with many limitations, which authors in other fields have overcome using the average number of citations per year since publication. The following study is presented in two parts. In this first part, the 100 most relevant papers in neurosurgical journals have been identified and ranked by total citations per year since publication. We queried the Web of Science database for the 1000 most-cited articles in neurosurgical journals. The number of citations per year was calculated for these 1000 articles, and the top 100 were identified...
April 21, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28426802/decoding-the-infant-mind-multivariate-pattern-analysis-mvpa-using-fnirs
#2
Lauren L Emberson, Benjamin D Zinszer, Rajeev D S Raizada, Richard N Aslin
The MRI environment restricts the types of populations and tasks that can be studied by cognitive neuroscientists (e.g., young infants, face-to-face communication). FNIRS is a neuroimaging modality that records the same physiological signal as fMRI but without the constraints of MRI, and with better spatial localization than EEG. However, research in the fNIRS community largely lacks the analytic sophistication of analogous fMRI work, restricting the application of this imaging technology. The current paper presents a method of multivariate pattern analysis for fNIRS that allows the authors to decode the infant mind (a key fNIRS population)...
2017: PloS One
https://www.readbyqxmd.com/read/28411271/neural-correlates-of-semantic-prediction-and-resolution-in-sentence-processing
#3
Luigi Grisoni, Tally McCormick Miller, Friedemann Pulvermüller
Most brain imaging studies of language comprehension focus on activity following upon meaningful stimuli. Testing adult human participants with high-density EEG, we show that, already before the presentation of a critical word, context-induced semantic predictions are reflected by a neurophysiological index, which we therefore call the Semantic Readiness Potential (SRP). The SRP precedes critical words if previous sentence context constrains the upcoming semantic content (High-constraint contexts), but not in unpredictable (Low-constraint) contexts...
April 14, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28408890/assessing-the-role-of-the-unity-assumption-on-multisensory-integration-a-review
#4
REVIEW
Yi-Chuan Chen, Charles Spence
There has been longstanding interest from both experimental psychologists and cognitive neuroscientists in the potential modulatory role of various top-down factors on multisensory integration/perception in humans. One such top-down influence, often referred to in the literature as the 'unity assumption,' is thought to occur in those situations in which an observer considers that various of the unisensory stimuli that they have been presented with belong to one and the same object or event (Welch and Warren, 1980)...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28399863/vectorized-nanodelivery-systems-for-ischemic-stroke-a-concept-and-a-need
#5
REVIEW
Andrés Da Silva-Candal, Bárbara Argibay, Ramón Iglesias-Rey, Zulema Vargas, Alba Vieites-Prado, Esteban López-Arias, Emilio Rodríguez-Castro, Iria López-Dequidt, Manuel Rodríguez-Yáñez, Yolanda Piñeiro, Tomás Sobrino, Francisco Campos, José Rivas, José Castillo
Neurological diseases of diverse aetiologies have significant effects on the quality of life of patients. The limited self-repairing capacity of the brain is considered to be the origin of the irreversible and progressive nature of many neurological diseases. Therefore, neuroprotection is an important goal shared by many clinical neurologists and neuroscientists. In this review, we discuss the main obstacles that have prevented the implementation of experimental neuroprotective strategies in humans and propose alternative avenues for the use of neuroprotection as a feasible therapeutic approach...
April 11, 2017: Journal of Nanobiotechnology
https://www.readbyqxmd.com/read/28398643/systems-genetic-analysis-in-genenetwork-org
#6
Clarissa C Parker, Price E Dickson, Vivek M Philip, Mary Thomas, Elissa J Chesler
Genome-wide association studies (GWAS) have emerged as a powerful tool to identify alleles and molecular pathways that influence susceptibility to psychiatric disorders and other diseases. Forward genetics using mouse mapping populations allows for a complementary approach that provides rigorous genetic and environmental control. In this unit, we describe techniques and tools that reduce the technical burden traditionally associated with genetic mapping in mice and enhance their translational utility to human psychiatric disorders...
April 10, 2017: Current Protocols in Neuroscience
https://www.readbyqxmd.com/read/28388510/mechanisms-of-input-and-output-synaptic-specificity-finding-partners-building-synapses-and-fine-tuning-communication
#7
REVIEW
Randi L Rawson, E Anne Martin, Megan E Williams
For most neurons to function properly, they need to develop synaptic specificity. This requires finding specific partner neurons, building the correct types of synapses, and fine-tuning these synapses in response to neural activity. Synaptic specificity is common at both a neuron's input and output synapses, whereby unique synapses are built depending on the partnering neuron. Neuroscientists have long appreciated the remarkable specificity of neural circuits but identifying molecular mechanisms mediating synaptic specificity has only recently accelerated...
April 4, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/28378036/engaging-with-dementia-moral-experiments-in-art-and-friendship
#8
Janelle S Taylor
The box-office as well as critical success of the 2014 major motion picture Still Alice, starring Julianne Moore in the title role and based on the bestselling novel of the same name by the Harvard-trained neuroscientist Lisa Genova (Still Alice. Simon & Schuster, New York, 2009), marked an important moment in public cultural representations of people with dementia. Still Alice tells the story of Alice Howland, an eminent scientist whose increasing memory lapses are eventually diagnosed as early-onset Alzheimer's, and chronicles the transformations in her family relationships as her husband and three children respond to her decline in different ways...
April 4, 2017: Culture, Medicine and Psychiatry
https://www.readbyqxmd.com/read/28362877/arachne-a-neural-neuroglial-network-builder-with-remotely-controlled-parallel-computing
#9
Sergey G Aleksin, Kaiyu Zheng, Dmitri A Rusakov, Leonid P Savtchenko
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handling of which requires specific programing skills. Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device...
March 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28293181/from-anomalies-to-essential-scientific-revolution-intrinsic-brain-activity-in-the-light-of-kuhn-s-philosophy-of-science
#10
REVIEW
Marek Havlík
The first step toward a modern understanding of fMRI resting brain activity was made by Bharat Biswal in 1995. This surprising, and at first rejected, discovery is now associated with many resting state networks, notably the famous default mode network (DMN). Resting state activity and DMN significantly reassessed our traditional beliefs and conventions about the functioning of the brain. For the majority of the twentieth century, neuroscientists assumed that the brain is mainly the "reactive engine" to the environment operating mostly through stimulation...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28290379/deep-tendon-reflex-the-background-story-of-a-simple-technique
#11
Kalyan B Bhattacharyya
Wilhelm Erb and Carl Otto Westphal from Prussia first described the knee jerk in the same issue of the journal Archiv für Psychiatrie und Nervenkrankheiten in January 1875. This article retraces the history of development of 'deep tendon reflex' as an integral clinical sign during every neurological examination. The history of the evolving shapes of the reflex hammer, the iconic trademark and the ultimate signature of a neuroscientist, is also presented.
March 2017: Neurology India
https://www.readbyqxmd.com/read/28284342/insights-into-ccl21-s-roles-in-immunosurveillance-and-immunotherapy-for-gliomas
#12
REVIEW
Thien Nguyen, Carlito Lagman, Lawrance K Chung, Cheng Hao Jacky Chen, Jessica Poon, Vera Ong, Brittany L Voth, Isaac Yang
Chemokine (C-C) motif ligand 21 (CCL21) is involved in immunosurveillance and has recently garnered the attention of neuro-oncologists and neuroscientists. CCL21 contains an extended C-terminus, which increases binding to lymphatic glycosaminoglycans and provides a mechanism for cell trafficking by forming a stationary chemokine concentration gradient that allows cell migration via haptotaxis. CCL21 is expressed by endothelial cells of the blood-brain barrier in physiologic and pathologic conditions. CCL21 has also been implicated in leukocyte extravasation into the central nervous system...
April 15, 2017: Journal of Neuroimmunology
https://www.readbyqxmd.com/read/28268428/estimation-of-resting-state-effective-connectivity-in-epilepsy-using-direct-directed-transfer-function
#13
Biswajit Maharathi, Jeffrey A Loeb, James Patton
There has been an increasing demand among neuroscientists to understand the complex network of functionally connected neural assemblies in the human brain. For this purpose, computational EEG research is widely used by researchers due to its remarkable advantage in providing high temporal resolution, and ease of analysis across different frequency bands. Here we analyzed Electrocorticographic (ECoG) signals of electrodes placed on frontal-parietal neocortex brain region of 8 pediatric epileptic patients. In order to evaluate the directed causal relationship among different brain regions, we employed a Granger causality based multivariate connectivity estimator named direct Directed Transfer Function (dDTF) to identify signal propagations among the selected set of electrode in the frequency range 1-50Hz...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267565/automating-cell-detection-and-classification-in-human-brain-fluorescent-microscopy-images-using-dictionary-learning-and-sparse-coding
#14
Maryana Alegro, Panagiotis Theofilas, Austin Nguy, Patricia A Castruita, William Seeley, Helmut Heinsen, Daniela M Ushizima, Lea T Grinberg
BACKGROUND: Immunofluorescence (IF) plays a major role in quantifying protein expression in situ and understanding cell function. It is widely applied in assessing disease mechanisms and in drug discovery research. Automation of IF analysis can transform studies using experimental cell models. However, IF analysis of postmortem human tissue relies mostly on manual interaction, often subjected to low-throughput and prone to error, leading to low inter and intra-observer reproducibility...
April 15, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28263793/recent-progress-in-multi-electrode-spike-sorting-methods
#15
REVIEW
Baptiste Lefebvre, Pierre Yger, Olivier Marre
In recent years, arrays of extracellular electrodes have been developed and manufactured to record simultaneously from hundreds of electrodes packed with a high density. These recordings should allow neuroscientists to reconstruct the individual activity of the neurons spiking in the vicinity of these electrodes, with the help of signal processing algorithms. Algorithms need to solve a source separation problem, also known as spike sorting. However, these new devices challenge the classical way to do spike sorting...
March 2, 2017: Journal of Physiology, Paris
https://www.readbyqxmd.com/read/28251871/bio-physically-plausible-visualization-of-highly-scattering-fluorescent-neocortical-models-for-in-silico-experimentation
#16
Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann, Julian Shillcock, Henry Markram, Felix Schürmann
BACKGROUND: We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology community. It allows the scientists to visualize the results of their virtual experiments that are performed in computer simulations, or in silico. The impact of the presented pipeline opens novel avenues for assisting the neuroscientists to build biologically accurate models of the brain...
February 15, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28243197/computer-aided-experiment-planning-toward-causal-discovery-in-neuroscience
#17
Nicholas J Matiasz, Justin Wood, Wei Wang, Alcino J Silva, William Hsu
Computers help neuroscientists to analyze experimental results by automating the application of statistics; however, computer-aided experiment planning is far less common, due to a lack of similar quantitative formalisms for systematically assessing evidence and uncertainty. While ontologies and other Semantic Web resources help neuroscientists to assimilate required domain knowledge, experiment planning requires not only ontological but also epistemological (e.g., methodological) information regarding how knowledge was obtained...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28236531/neuroadaptive-bayesian-optimization-and-hypothesis-testing
#18
REVIEW
Romy Lorenz, Adam Hampshire, Robert Leech
Cognitive neuroscientists are often interested in broad research questions, yet use overly narrow experimental designs by considering only a small subset of possible experimental conditions. This limits the generalizability and reproducibility of many research findings. Here, we propose an alternative approach that resolves these problems by taking advantage of recent developments in real-time data analysis and machine learning. Neuroadaptive Bayesian optimization is a powerful strategy to efficiently explore more experimental conditions than is currently possible with standard methodology...
March 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28229330/the-involvement-of-the-myelin-associated-inhibitors-and-their-receptors-in-cns-plasticity-and-injury
#19
REVIEW
Anthony G Boghdadi, Leon Teo, James A Bourne
The limited capacity for the central nervous system (CNS) to repair itself was first described over 100 years ago by Spanish neuroscientist Ramon Y. Cajal. However, the exact mechanisms underlying this failure in neuronal regeneration remain unclear and, as such, no effective therapeutics yet exist. Numerous studies have attempted to elucidate the biochemical and molecular mechanisms that inhibit neuronal repair with increasing evidence suggesting that several inhibitory factors and repulsive guidance cues active during development actually persist into adulthood and may be contributing to the inhibition of repair...
February 22, 2017: Molecular Neurobiology
https://www.readbyqxmd.com/read/28226598/estimation-of-resting-state-effective-connectivity-in-epilepsy-using-direct-directed-transfer-function
#20
Biswajit Maharathi, Jeffrey A Loeb, James Patton, Biswajit Maharathi, Jeffrey A Loeb, James Patton, Biswajit Maharathi, James Patton, Jeffrey A Loeb
There has been an increasing demand among neuroscientists to understand the complex network of functionally connected neural assemblies in the human brain. For this purpose, computational EEG research is widely used by researchers due to its remarkable advantage in providing high temporal resolution, and ease of analysis across different frequency bands. Here we analyzed Electrocorticographic (ECoG) signals of electrodes placed on frontal-parietal neocortex brain region of 8 pediatric epileptic patients. In order to evaluate the directed causal relationship among different brain regions, we employed a Granger causality based multivariate connectivity estimator named direct Directed Transfer Function (dDTF) to identify signal propagations among the selected set of electrode in the frequency range 1-50Hz...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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