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https://www.readbyqxmd.com/read/28930540/electrophysiological-evidence-for-long-axis-intrinsic-diversification-of-the-hippocampus
#1
Costas Papatheodoropoulos
The elongated structure of the hippocampus is critically involved in brain functions of profound importance. The segregation of functions along the longitudinal (septotemporal or dorsoventral) axis of the hippocampus is a slowly developed concept and currently is a widely accepted idea. The segregation of neuroanatomical connections along the hippocampal long axis can provide a basis for the interpretation of the functional segregation. However, an emerging and growing body of data strongly suggests the existence of endogenous diversification in the properties of the local neural network along the long axis of the hippocampus...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
https://www.readbyqxmd.com/read/28930523/the-evolving-concept-of-the-intrinsic-hippocampal-theta-gamma-oscillator
#2
Mauro Cataldi, Chiara Vigliotti
  Three main types of electrical oscillations are recorded from the hippocampus in vivo: theta (θ), gamma (γ) and sharp wave ripples with frequency bands of 4-12, 25-100 and 110-250 Hz, respectively. Theta activity is the more robust of them, and has important physiological roles because it is involved in spatial navigation, memory formation and memory retrieval. Classical lesion studies in vivo have suggested that the hippocampus passively follows the θ  rhythm generated in the septum by neurons that are synaptically connected with hippocampal neurons though septo-hippocampal connections...
January 1, 2018: Frontiers in Bioscience (Scholar Edition)
https://www.readbyqxmd.com/read/28928636/smn-deficiency-increases-the-intrinsic-excitability-of-motoneurons
#3
Saravanan Arumugam, Ana Garcera, Rosa M Soler, Lucía Tabares
During development, motoneurons experience significant changes in their size and in the number and strength of connections that they receive, which requires adaptive changes in their passive and active electrical properties. Even after reaching maturity, motoneurons continue to adjust their intrinsic excitability and synaptic activity for proper functioning of the sensorimotor circuit in accordance with physiological demands. Likewise, if some elements of the circuit become dysfunctional, the system tries to compensate for the alterations to maintain appropriate function...
2017: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/28928219/o2-sensing-associated-glycosylation-exposes-the-f-box-combining-site-of-the-dictyostelium-skp1-subunit-in-e3-ubiquitin-ligases
#4
M Osman Sheikh, David Thieker, Gordon Chalmers, Christopher M Schafer, Mayumi Ishihara, Parastoo Azadi, Robert J Woods, John N Glushka, Brad Bendiak, James H Prestegard, Christopher M West
Skp1 is a conserved protein linking cullin-1 to F-box proteins in SCF (Skp1-Cullin1-F-box) E3 ubiquitin ligases, which modify protein substrates with polyubiquitin chains that typically target them for 26S proteasome-mediated degradation. In Dictyostelium (a social amoeba), Toxoplasma gondii (the agent for human toxoplasmosis), and other protists, Skp1 is regulated by a unique pentasaccharide attached to hydroxylated Pro-143 within its C-terminal F-box binding domain. Prolyl hydroxylation of Skp1 contributes to O2-dependent Dictyostelium development, but full glycosylation at that position is required for optimal O2 sensing...
September 19, 2017: Journal of Biological Chemistry
https://www.readbyqxmd.com/read/28926795/dissociable-intrinsic-functional-networks-support-noun-object-and-verb-action-processing
#5
Huichao Yang, Qixiang Lin, Zaizhu Han, Hongyu Li, Luping Song, Lingjuan Chen, Yong He, Yanchao Bi
The processing mechanism of verbs-actions and nouns-objects is a central topic of language research, with robust evidence for behavioral dissociation. The neural basis for these two major word and/or conceptual classes, however, remains controversial. Two experiments were conducted to study this question from the network perspective. Experiment 1 found that nodes of the same class, obtained through task-evoked brain imaging meta-analyses, were more strongly connected with each other than nodes of different classes during resting-state, forming segregated network modules...
September 16, 2017: Brain and Language
https://www.readbyqxmd.com/read/28921389/altered-structure-and-intrinsic-functional-connectivity-in-post-stroke-aphasia
#6
Mi Yang, Pu Yang, Yun-Shuang Fan, Jiao Li, Dezhong Yao, Wei Liao, Huafu Chen
Previous studies have demonstrated that alterations of gray matter exist in post-stroke aphasia (PSA) patients. However, so far, few studies combined structural alterations of gray matter volume (GMV) and intrinsic functional connectivity (iFC) imbalances of resting-state functional MRI to investigate the mechanism underlying PSA. The present study investigated specific regions with GMV abnormality in patients with PSA (n = 17) and age- and sex- matched healthy controls (HCs, n = 20) using voxel-based morphometry...
September 18, 2017: Brain Topography
https://www.readbyqxmd.com/read/28917697/trajectories-of-brain-system-maturation-from-childhood-to-older-adulthood-implications-for-lifespan-cognitive-functioning
#7
Raluca Petrican, Margot J Taylor, Cheryl L Grady
The human brain's intrinsic functional architecture reflects behavioural history and can help elucidate the neural mechanisms underlying age-related cognitive changes. To probe this issue, we used resting state (N = 586) and behavioural (N = 255) data from a lifespan sample and tested the interactions among ten intrinsic neural systems, derived from a well-established whole-brain parcellation. Our results revealed three distinguishable profiles, whose expression strengthened with increasing age and which characterized developmental differences in connectivity within the ten systems, between networks thought to underlie cognitive control and non-control systems, and among the non-control networks...
September 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28915271/extending-topological-surgery-to-natural-processes-and-dynamical-systems
#8
Stathis Antoniou, Sofia Lambropoulou
Topological surgery is a mathematical technique used for creating new manifolds out of known ones. We observe that it occurs in natural phenomena where a sphere of dimension 0 or 1 is selected, forces are applied and the manifold in which they occur changes type. For example, 1-dimensional surgery happens during chromosomal crossover, DNA recombination and when cosmic magnetic lines reconnect, while 2-dimensional surgery happens in the formation of tornadoes, in the phenomenon of Falaco solitons, in drop coalescence and in the cell mitosis...
2017: PloS One
https://www.readbyqxmd.com/read/28914738/age-related-resting-state-functional-connectivity-in-the-olfactory-and-trigeminal-networks
#9
Prasanna Karunanayaka, Michael J Tobia, Qing X Yang
Brain networks for intranasal chemosensation have been shown to be intrinsically organized in humans . However, little is known about how changes in the intrinsic functional connectivity (FC) in chemosensory networks are related to aging. We, therefore, investigated the impact of age on resting-state FC in the olfactory and trigeminal networks (ON and TN) by combining two freely available resting-state fMRI data sets (obtained from the NITRC.org; Atlanta and New York) with data collected in our lab to generate a large sample size (N=103; 51 women) spanning the age range of 20-61 years...
October 18, 2017: Neuroreport
https://www.readbyqxmd.com/read/28914480/wireless-electrochemical-actuation-of-conducting-polymers
#10
Bhavana Gupta, Bertrand Goudeau, Alexander Kuhn
Electrochemical actuation of conducting polymers usually requires a direct connection to an electric power supply. In this contribution, we suggest to overcome this issue by using the concept of bipolar electrochemistry. This allows changing the oxidation state of the polymer in a gradual and wireless way. Free standing polypyrrole films were synthesized with an intrinsic morphological asymmetry of their two faces in order to form a bilayer structure. Immersing such objects in an electrolyte solution and exposing them to a potential gradient leads to the asymmetric oxidation/reduction of the polymer, resulting in differential shrinking and swelling along the main axis...
September 15, 2017: Angewandte Chemie
https://www.readbyqxmd.com/read/28912803/optimal-parameter-selection-for-support-vector-machine-based-on-artificial-bee-colony-algorithm-a-case-study-of-grid-connected-pv-system-power-prediction
#11
Xiang-Ming Gao, Shi-Feng Yang, San-Bo Pan
Predicting the output power of photovoltaic system with nonstationarity and randomness, an output power prediction model for grid-connected PV systems is proposed based on empirical mode decomposition (EMD) and support vector machine (SVM) optimized with an artificial bee colony (ABC) algorithm. First, according to the weather forecast data sets on the prediction date, the time series data of output power on a similar day with 15-minute intervals are built. Second, the time series data of the output power are decomposed into a series of components, including some intrinsic mode components IMFn and a trend component Res, at different scales using EMD...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28912706/dynamic-neural-fields-with-intrinsic-plasticity
#12
Claudius Strub, Gregor Schöner, Florentin Wörgötter, Yulia Sandamirskaya
Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach. Within dynamic field theory, the DNFs have been used as building blocks in architectures to model sensorimotor embedding of cognitive processes. Typically, the parameters of a DNF in an architecture are manually tuned in order to achieve a specific dynamic behavior (e.g., decision making, selection, or working memory) for a given input pattern...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28912698/altered-rich-club-and-frequency-dependent-subnetwork-organization-in-mild-traumatic-brain-injury-a-meg-resting-state-study
#13
Marios Antonakakis, Stavros I Dimitriadis, Michalis Zervakis, Andrew C Papanicolaou, George Zouridakis
Functional brain connectivity networks exhibit "small-world" characteristics and some of these networks follow a "rich-club" organization, whereby a few nodes of high connectivity (hubs) tend to connect more densely among themselves than to nodes of lower connectivity. The Current study followed an "attack strategy" to compare the rich-club and small-world network organization models using Magnetoencephalographic (MEG) recordings from mild traumatic brain injury (mTBI) patients and neurologically healthy controls to identify the topology that describes the underlying intrinsic brain network organization...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28912568/intrinsic-neural-network-dysfunction-in-quiescent-crohn-s-disease
#14
Anne K Thomann, Martin Griebe, Philipp A Thomann, Dusan Hirjak, Matthias P Ebert, Kristina Szabo, Wolfgang Reindl, Robert C Wolf
Psychological factors and comorbidities play an important role in inflammatory bowel diseases. Such comorbidity could be associated with a specific neural phenotype. Brain regions associated with emotion regulation and self-referential processing, including areas assigned to the "default mode network" (DMN), could be promising candidates in this regard. We investigated the functional integrity of multiple intrinsic neural networks in remitted patients with Crohn's disease (CD) and sought to establish relationships between neural network connectivity and psychiatric symptoms...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28912425/predictive-models-of-minimal-hepatic-encephalopathy-for-cirrhotic-patients-based-on-large-scale-brain-intrinsic-connectivity-networks
#15
Yun Jiao, Xun-Heng Wang, Rong Chen, Tian-Yu Tang, Xi-Qi Zhu, Gao-Jun Teng
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences...
September 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28911049/aberrant-hyperconnectivity-in-the-motor-system-at-rest-is-linked-to-motor-abnormalities-in-schizophrenia-spectrum-disorders
#16
Sebastian Walther, Katharina Stegmayer, Andrea Federspiel, Stephan Bohlhalter, Roland Wiest, Petra V Viher
Motor abnormalities are frequently observed in schizophrenia and structural alterations of the motor system have been reported. The association of aberrant motor network function, however, has not been tested. We hypothesized that abnormal functional connectivity would be related to the degree of motor abnormalities in schizophrenia. In 90 subjects (46 patients) we obtained resting stated functional magnetic resonance imaging (fMRI) for 8 minutes 40 seconds at 3T. Participants further completed a motor battery on the scanning day...
September 1, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28905157/landscape-genetics-in-the-subterranean-rodent-ctenomys-chasiquensis-associated-with-highly-disturbed-habitats-from-the-southeastern-pampas-region-argentina
#17
Matías Sebastián Mora, Fernando J Mapelli, Aldana López, María Jimena Gómez Fernández, Patricia M Mirol, Marcelo J Kittlein
Studies of genetic differentiation in fragmented environments help us to identify those landscape features that most affect gene flow and dispersal patterns. Particularly, the assessment of the relative significance of intrinsic biological and environmental factors affecting the genetic structure of populations becomes crucial. In this work, we assess the current dispersal patterns and population structure of Ctenomys "chasiquensis", a vulnerable and endemic subterranean rodent distributed on a small area in Central Argentina, using 9 polymorphic microsatellite loci...
September 13, 2017: Genetica
https://www.readbyqxmd.com/read/28903911/a-visual-multiplex-pcr-microchip-with-easy-sample-loading
#18
Jian-Wei Chen, Ning Shao, Yuchen Zhang, Yuanshou Zhu, Litao Yang, Sheng-Ce Tao
There is an urgent demand for affordable, rapid and easy-to-use technology to simultaneously detect many different DNA targets within one reaction. Conventional multiplex PCR is an effective methodology to simultaneously amplify different DNA targets. However, its multiplicity is limited due to the intrinsic interference and competition among primer pairs within one tube. Here, we present an easy multiplex PCR microchip system, which can simultaneously detect 54 targets. The design of the microchip is quite simple...
June 20, 2017: Yi Chuan, Hereditas
https://www.readbyqxmd.com/read/28900210/alterations-of-brain-functional-architecture-associated-with-psychopathic-traits-in-male-adolescents-with-conduct-disorder
#19
Weidan Pu, Qiang Luo, Yali Jiang, Yidian Gao, Qingsen Ming, Shuqiao Yao
Psychopathic traits of conduct disorder (CD) have a core callous-unemotional (CU) component and an impulsive-antisocial component. Previous task-driven fMRI studies have suggested that psychopathic traits are associated with dysfunction of several brain areas involved in different cognitive functions (e.g., empathy, reward, and response inhibition etc.), but the relationship between psychopathic traits and intrinsic brain functional architecture has not yet been explored in CD. Using a holistic brain-wide functional connectivity analysis, this study delineated the alterations in brain functional networks in patients with conduct disorder...
September 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28899742/icn_atlas-automated-description-and-quantification-of-functional-mri-activation-patterns-in-the-framework-of-intrinsic-connectivity-networks
#20
Lajos R Kozák, Louis André van Graan, Umair J Chaudhary, Ádám Szabó, Louis Lemieux
Generally, the interpretation of functional MRI (fMRI) activation maps continues to rely on assessing their relationship to anatomical structures, mostly in a qualitative and often subjective way. Recently, the existence of persistent and stable brain networks of functional nature has been revealed; in particular these so-called intrinsic connectivity networks (ICNs) appear to link patterns of resting state and task-related state connectivity. These networks provide an opportunity of functionally-derived description and interpretation of fMRI maps, that may be especially important in cases where the maps are predominantly task-unrelated, such as studies of spontaneous brain activity e...
September 9, 2017: NeuroImage
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