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https://www.readbyqxmd.com/read/28195522/source-localization-of-brain-states-associated-with-canonical-neuroimaging-postures
#1
Michael Lifshitz, Robert T Thibault, Raquel R Roth, Amir Raz
Cognitive neuroscientists rarely consider the influence that body position exerts on brain activity; yet, postural variation holds important implications for the acquisition and interpretation of neuroimaging data. Whereas participants in most behavioral and EEG experiments sit upright, many prominent brain imaging techniques (e.g., fMRI) require participants to lie supine. Here we demonstrate that physical comportment profoundly alters baseline brain activity as measured by magnetoencephalography (MEG)-an imaging modality that permits multipostural acquisition...
February 14, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28191033/algorithm-and-software-to-automatically-identify-latency-and-amplitude-features-of-local-field-potentials-recorded-in-electrophysiological-investigation
#2
Maria Rubega, Claudia Cecchetto, Stefano Vassanelli, Giovanni Sparacino
BACKGROUND: Local field potentials (LFPs) evoked by sensory stimulation are particularly useful in electrophysiological research. For instance, spike timing and current transmembrane current flow estimated from LFPs recorded in the barrel cortex in rats and mice are exploited to investigate how the brain represents sensory stimuli. Recent improvements in microelectrodes technology enable neuroscientists to acquire a great amount of LFPs during the same experimental session, calling for algorithms for their quantitative automatic analysis...
2017: Source Code for Biology and Medicine
https://www.readbyqxmd.com/read/28182017/using-connectome-based-predictive-modeling-to-predict-individual-behavior-from-brain-connectivity
#3
Xilin Shen, Emily S Finn, Dustin Scheinost, Monica D Rosenberg, Marvin M Chun, Xenophon Papademetris, R Todd Constable
Neuroimaging is a fast-developing research area in which anatomical and functional images of human brains are collected using techniques such as functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG). Technical advances and large-scale data sets have allowed for the development of models capable of predicting individual differences in traits and behavior using brain connectivity measures derived from neuroimaging data. Here, we present connectome-based predictive modeling (CPM), a data-driven protocol for developing predictive models of brain-behavior relationships from connectivity data using cross-validation...
March 2017: Nature Protocols
https://www.readbyqxmd.com/read/28177260/graph-theory-at-the-service-of-electroencephalograms
#4
Nantia D Iakovidou
The brain is one of the largest and most complex organs in the human body and electroencephalography (EEG) is a non-invasive electrophysiological monitoring method that is used to record the electrical activity of the brain. Lately, the functional connectivity in human brain has been regarded and studied as a complex network using electroencephalographic (EEG) signals. This means that the brain is studied as a connected system where nodes, or units, represent different specialized brain regions and links, or connections, represent communication pathways between the nodes...
February 8, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28144620/neuroscience-has-the-power-to-change-the-criminal-justice-system
#5
Cara M Altimus
As a neuroscientist working in the Department of Justice for the past year, I observed that many of the challenges of crime and justice have solutions rooted in our understanding of neuroscience. However, the neuroscience community seems absent from conversations regarding these solutions.
November 2016: ENeuro
https://www.readbyqxmd.com/read/28139675/win-win-data-sharing-in-neuroscience
#6
Giorgio A Ascoli, Patricia Maraver, Sumit Nanda, Sridevi Polavaram, Rubén Armañanzas
Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users.
January 31, 2017: Nature Methods
https://www.readbyqxmd.com/read/28120010/thirty-years-of-transcranial-magnetic-stimulation-where-do-we-stand
#7
REVIEW
Ulf Ziemann
Transcranial magnetic stimulation (TMS) has been first described 30 years ago, and since then has gained enormous attention by neurologists, psychiatrists, neurosurgeons, clinical neurophysiologists, psychologists, and neuroscientist alike. In the early days, it was primarily used to test integrity of the corticospinal tract. Beyond further developments of TMS in diagnostics, mapping and monitoring of the motor system, major other applications expanded into using TMS as research tool in the cognitive neurosciences, and as therapeutic tool in neurological and psychiatric disease by virtue of inducing long-term change in excitability and connectivity of the stimulated brain networks...
January 25, 2017: Experimental Brain Research. Experimentelle Hirnforschung. Expérimentation Cérébrale
https://www.readbyqxmd.com/read/28113724/brain-modulyzer-interactive-visual-analysis-of-functional-brain-connectivity
#8
Sugeerth Murugesan, Kristofer Bouchard, Jesse A Brown, Bernd Hamann, William W Seeley, Andrew Trujillo, Gunther H Weber
We present Brain Modulyzer, an interactive visual exploration tool for functional magnetic resonance imaging (fMRI) brain scans, aimed at analyzing the correlation between different brain regions when resting or when performing mental tasks. Brain Modulyzer combines multiple coordinated views-such as heat maps, node link diagrams and anatomical views-using brushing and linking to provide an anatomical context for brain connectivity data. Integrating methods from graph theory and analysis, e.g., community detection and derived graph measures, makes it possible to explore the modular and hierarchical organization of functional brain networks...
May 9, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28107672/a-computational-model-of-conditioning-inspired-by-drosophila-olfactory-system
#9
Faramarz Faghihi, Ahmed A Moustafa, Ralf Heinrich, Florentin Wörgötter
Recent studies have demonstrated that Drosophila melanogaster (briefly Drosophila) can successfully perform higher cognitive processes including second order olfactory conditioning. Understanding the neural mechanism of this behavior can help neuroscientists to unravel the principles of information processing in complex neural systems (e.g. the human brain) and to create efficient and robust robotic systems. In this work, we have developed a biologically-inspired spiking neural network which is able to execute both first and second order conditioning...
November 23, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28093560/integrating-hebbian-and-homeostatic-plasticity-introduction
#10
Kevin Fox, Michael Stryker
Hebbian plasticity is widely considered to be the mechanism by which information can be coded and retained in neurons in the brain. Homeostatic plasticity moves the neuron back towards its original state following a perturbation, including perturbations produced by Hebbian plasticity. How then does homeostatic plasticity avoid erasing the Hebbian coded information? To understand how plasticity works in the brain, and therefore to understand learning, memory, sensory adaptation, development and recovery from injury, requires development of a theory of plasticity that integrates both forms of plasticity into a whole...
March 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28081141/could-a-neuroscientist-understand-a-microprocessor
#11
Eric Jonas, Konrad Paul Kording
There is a popular belief in neuroscience that we are primarily data limited, and that producing large, multimodal, and complex datasets will, with the help of advanced data analysis algorithms, lead to fundamental insights into the way the brain processes information. These datasets do not yet exist, and if they did we would have no way of evaluating whether or not the algorithmically-generated insights were sufficient or even correct. To address this, here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28076982/from-structure-to-activity-using-centrality-measures-to-predict-neuronal-activity
#12
Jack McKay Fletcher, Thomas Wennekers
It is clear that the topological structure of a neural network somehow determines the activity of the neurons within it. In the present work, we ask to what extent it is possible to examine the structural features of a network and learn something about its activity? Specifically, we consider how the centrality (the importance of a node in a network) of a neuron correlates with its firing rate. To investigate, we apply an array of centrality measures, including In-Degree, Closeness, Betweenness, Eigenvector, Katz, PageRank, Hyperlink-Induced Topic Search (HITS) and NeuronRank to Leaky-Integrate and Fire neural networks with different connectivity schemes...
November 16, 2016: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28076640/frontal-lobe-alterations-in-schizophrenia-a-review
#13
Ateeq Mubarik, Hassaan Tohid
Objective: To highlight the changes in the frontal lobe of the human brain in people with schizophrenia. Methods: This was a qualitative review of the literature. Results: Many schizophrenic patients exhibit functional, structural, and metabolic abnormalities in the frontal lobe. Some patients have few or no alterations, while some have more functional and structural changes than others. Magnetic resonance imaging (MRI) shows structural and functional changes in volume, gray matter, white matter, and functional activity in the frontal lobe, but the mechanisms underlying these changes are not yet fully understood...
October 2016: Trends in Psychiatry and Psychotherapy
https://www.readbyqxmd.com/read/28072386/main-effects-and-interactions-of-cerebral-hemispheres-gender-and-age-in-the-calculation-of-volumes-and-asymmetries-of-selected-structures-of-episodic-memory
#14
Rocio Ramirez-Carmona, Haydee Guadalupe Garcia-Lazaro, Brenda Dominguez-Corrales, Erika Aguilar-Castañeda, Ernesto Roldan-Valadez
The aim of this study was to clarify the influence of anatomical (cerebral hemisphere) and demographic (age and gender) variables on the gray matter (GM) volumes and volumetric asymmetry indices (VAIs) of selected structures involved in episodic memory. A cross-sectional study was performed in 47 healthy volunteers. Neuropsychological evaluation revealed similar IQs across the sample. Using SPM-based software, brain segmentation, labeling and volume measurements of the hippocampus, amygdala, middle temporal gyrus and parahippocampal gyrus were performed in each cerebral hemisphere...
October 2016: Functional Neurology
https://www.readbyqxmd.com/read/28032685/the-dynamics-of-memory-consolidation-of-landmarks
#15
Janneke van Ekert, Joost Wegman, Clemens Jansen, Atsuko Takashima, Gabriele Janzen
Navigating through space is fundamental to human nature and requires the ability to retrieve relevant information from the remote past. With the passage of time, some memories become generic, capturing only a sense of familiarity. Yet, others maintain precision, even when acquired decades ago. Understanding the dynamics of memory consolidation is a major challenge to neuroscientists. Using functional magnetic resonance imaging, we systematically examined the effects of time and spatial context on the neural representation of landmark recognition memory...
December 29, 2016: Hippocampus
https://www.readbyqxmd.com/read/28009272/searching-for-signatures-of-brain-maturity-what-are-we-searching-for
#16
Leah H Somerville
Evidence of continued neurobiological maturation through adolescence is increasingly invoked in discussions of youth-focused policies. This should motivate neuroscientists to grapple with core issues such as the definition of brain maturation, how to quantify it, and how to precisely translate this knowledge to broader audiences.
December 21, 2016: Neuron
https://www.readbyqxmd.com/read/27998713/dendritic-spine-classification-using-shape-and-appearance-features-based-on-two-photon-microscopy
#17
Muhammad Usman Ghani, Fitsum Mesadi, Sümeyra Demir Kanık, Ali Özgür Argunşah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Taşdizen, Müjdat Çetin
BACKGROUND: Neuronal morphology and function are highly coupled. In particular, dendritic spine morphology is strongly governed by the incoming neuronal activity. The first step towards understanding the structure-function relationships is to classify spine shapes into the main spine types suggested in the literature. Due to the lack of reliable automated analysis tools, classification is mostly performed manually, which is a time-intensive task and prone to subjectivity. NEW METHOD: We propose an automated method to classify dendritic spines using shape and appearance features based on challenging two-photon laser scanning microscopy (2PLSM) data...
December 18, 2016: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/27965065/recurrent-themes-in-the-history-of-the-home-use-of-electrical-stimulation-transcranial-direct-current-stimulation-tdcs-and-the-medical-battery-1870-1920
#18
REVIEW
Anna Wexler
BACKGROUND: In recent years, neuroscientists and ethicists have warned of the dangers of the unsupervised home use of transcranial direct current stimulation (tDCS), in which individuals stimulate their own brains with low levels of electricity for self-improvement purposes. Although the home use of tDCS is often referred to as a novel phenomenon, in reality the late nineteenth and early twentieth century saw a proliferation of electrical stimulation devices for home use. In particular, the use of an object known as the medical battery bears a number of striking similarities to the modern-day use of tDCS...
November 29, 2016: Brain Stimulation
https://www.readbyqxmd.com/read/27930910/the-neurobiology-of-zika-virus
#19
REVIEW
Hongda Li, Laura Saucedo-Cuevas, Sujan Shresta, Joseph G Gleeson
Zika virus (ZIVK) represents a new threat to global health, with particular relevance to neuroscientists, due to associated newborn and adult neurological disease. Consequences of vertical infection include microcephaly with brain and eye anomalies, and consequences of adult infection include Guillain-Barré syndrome (GBS) and meningoencephalitis. Recent data suggest specific vulnerability of neural progenitors to infection, leading to cell death and brain calcification, reminiscent of other viral syndromes...
December 7, 2016: Neuron
https://www.readbyqxmd.com/read/27924903/where-will-all-the-new-neuroscientists-go
#20
Gary Stix
No abstract text is available yet for this article.
August 16, 2016: Scientific American
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