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https://www.readbyqxmd.com/read/28445527/enhanced-functional-connectivity-and-volume-between-cognitive-and-reward-centers-of-na%C3%A3-ve-rodent-brain-produced-by-pro-dopaminergic-agent-kb220z
#1
Marcelo Febo, Kenneth Blum, Rajendra D Badgaiyan, Pablo D Perez, Luis M Colon-Perez, Panayotis K Thanos, Craig F Ferris, Praveen Kulkarni, John Giordano, David Baron, Mark S Gold
Dopaminergic reward dysfunction in addictive behaviors is well supported in the literature. There is evidence that alterations in synchronous neural activity between brain regions subserving reward and various cognitive functions may significantly contribute to substance-related disorders. This study presents the first evidence showing that a pro-dopaminergic nutraceutical (KB220Z) significantly enhances, above placebo, functional connectivity between reward and cognitive brain areas in the rat. These include the nucleus accumbens, anterior cingulate gyrus, anterior thalamic nuclei, hippocampus, prelimbic and infralimbic loci...
2017: PloS One
https://www.readbyqxmd.com/read/28439226/the-phosphodiesterase-10a-inhibitor-pf-2545920-enhances-hippocampal-excitability-and-seizure-activity-involving-the-upregulation-of-glua1-and-nr2a-in-post-synaptic-densities
#2
Yanke Zhang, Baobing Gao, Fangshuo Zheng, Shanshan Lu, Yun Li, Yan Xiong, Qin Yang, Yong Yang, Pengfei Fu, Fei Xiao, Xuefeng Wang
Phosphodiesterase regulates the homeostasis of cAMP and cGMP, which increase the strength of excitatory neural circuits and/or decrease inhibitory synaptic plasticity. Abnormally, synchronized synaptic transmission in the brain leads to seizures. A phosphodiesterase 10A (PDE10A) inhibitor PF-2545920 has recently attracted attention as a potential therapy for neurological and psychiatric disorders. We hypothesized that PF-2545920 plays an important role in status epilepticus (SE) and investigated the underlying mechanisms...
2017: Frontiers in Molecular Neuroscience
https://www.readbyqxmd.com/read/28436913/synchronization-of-reaction-diffusion-neural-networks-with-dirichlet-boundary-conditions-and-infinite-delays
#3
Yin Sheng, Hao Zhang, Zhigang Zeng
This paper is concerned with synchronization for a class of reaction-diffusion neural networks with Dirichlet boundary conditions and infinite discrete time-varying delays. By utilizing theories of partial differential equations, Green's formula, inequality techniques, and the concept of comparison, algebraic criteria are presented to guarantee master-slave synchronization of the underlying reaction-diffusion neural networks via a designed controller. Additionally, sufficient conditions on exponential synchronization of reaction-diffusion neural networks with finite time-varying delays are established...
April 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28436891/off-policy-reinforcement-learning-for-synchronization-in-multiagent-graphical-games
#4
Jinna Li, Hamidreza Modares, Tianyou Chai, Frank L Lewis, Lihua Xie
This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete knowledge of agent dynamics, the proposed off-policy RL algorithm is a model-free approach, in that it solves the optimal synchronization problem without knowing any knowledge of the agent dynamics. A prescribed control policy, called behavior policy, is applied to each agent to generate and collect data for learning...
April 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28436835/neural-spike-train-synchronisation-indices-definitions-interpretations-and-applications
#5
D M Halliday, J R Rosenberg
A comparison of previously defined spike train syncrhonization indices is undertaken within a stochastic point process framework. The second order cumulant density (covariance density) is shown to be common to all the indices. Simulation studies were used to investigate the sampling variability of a single index based on the second order cumulant. The simulations used a paired motoneurone model and a paired regular spiking cortical neurone model. The sampling variability of spike trains generated under identical conditions from the paired motoneurone model varied from 50% { 160% of the estimated value...
April 24, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28429774/synchronization-and-variability-imbalance-underlie-cognitive-impairment-in-primary-progressive-multiple-sclerosis
#6
Maria Petracca, Catarina Saiote, Heidi A Bender, Franchesca Arias, Colleen Farrell, Paola Magioncalda, Matteo Martino, Aaron Miller, Georg Northoff, Fred Lublin, Matilde Inglese
We aimed to investigate functional connectivity and variability across multiple frequency bands in brain networks underlying cognitive deficits in primary-progressive multiple sclerosis (PP-MS) and to explore how they are affected by the presence of cortical lesions (CLs). We analyzed functional connectivity and variability (measured as the standard deviation of BOLD signal amplitude) in resting state networks (RSNs) associated with cognitive deficits in different frequency bands in 25 PP-MS patients (12 M, mean age 50...
April 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28427143/activity-induced-spontaneous-spikes-in-gabaergic-neurons-suppress-seizure-discharges-an-implication-of-computational-modeling
#7
Wei Lu, Jing Feng, Bo Wen, Kewei Wang, Jin-Hui Wang
BACKGROUND: Epilepsy, a prevalent neurological disorder, appears self-termination. The endogenous mechanism for seizure self-termination remains to be addressed in order to develop new strategies for epilepsy treatment. We aim to examine the role of activity-induced spontaneous spikes at GABAergic neurons as an endogenous mechanism in the seizure self-termination. METHODS AND RESULTS: Neuronal spikes were induced by depolarization pulses at cortical GABAergic neurons from temporal lobe epilepsy patients and mice, in which some of these neurons fired activity-induced spontaneous spikes...
February 23, 2017: Oncotarget
https://www.readbyqxmd.com/read/28422957/towards-a-theory-of-cortical-columns-from-spiking-neurons-to-interacting-neural-populations-of-finite-size
#8
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
Neural population equations such as neural mass or field models are widely used to study brain activity on a large scale. However, the relation of these models to the properties of single neurons is unclear. Here we derive an equation for several interacting populations at the mesoscopic scale starting from a microscopic model of randomly connected generalized integrate-and-fire neuron models. Each population consists of 50-2000 neurons of the same type but different populations account for different neuron types...
April 19, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28422694/synchronization-criteria-for-discontinuous-neural-networks-with-mixed-delays-via-functional-differential-inclusions
#9
Dongshu Wang, Lihong Huang, Longkun Tang
This paper investigates the issue of global exponential synchronization for a class of general neural networks that contains discontinuous activation functions and mixed time delays. Functional differential inclusions and nonsmooth analysis theories are used as bases to design discontinuous controllers, such that the discontinuous neural networks can be exponential complete synchronized. This novel approach and its applicability to neural networks with continuous activations are also easily verified. Several numerical examples demonstrate the practicality and effectiveness of the design method...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28422675/finite-time-synchronization-of-coupled-hierarchical-hybrid-neural-networks-with-time-varying-delays
#10
Junyi Wang, Huaguang Zhang, Zhanshan Wang, David Wenzhong Gao
This paper is concerned with the finite-time synchronization problem of coupled hierarchical hybrid delayed neural networks. This coupled hierarchical hybrid neural networks consist of a higher level switching and a lower level Markovian jumping. The time-varying delays are dependent on not only switching signal but also jumping mode. By using a less conservative weighted integral inequality and stochastic multiple Lyapunov-Krasovskii functional, new finite-time synchronization criteria are obtained, which makes the state trajectories be kept within the prescribed bound in a time interval...
April 13, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28420960/contralateral-inhibition-of-click-and-chirp-evoked-human-compound-action-potentials
#11
Spencer B Smith, Jeffery T Lichtenhan, Barbara K Cone
Cochlear outer hair cells (OHC) receive direct efferent feedback from the caudal auditory brainstem via the medial olivocochlear (MOC) bundle. This circuit provides the neural substrate for the MOC reflex, which inhibits cochlear amplifier gain and is believed to play a role in listening in noise and protection from acoustic overexposure. The human MOC reflex has been studied extensively using otoacoustic emissions (OAE) paradigms; however, these measurements are insensitive to subsequent "downstream" efferent effects on the neural ensembles that mediate hearing...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28419208/interhemispheric-synchrony-of-spontaneous-cortical-states-at-the-cortical-column-level
#12
Kazunori O'Hashi, Tomer Fekete, Thomas Deneux, Rina Hildesheim, Cees van Leeuwen, Amiram Grinvald
In cat early visual cortex, neural activity patterns resembling evoked orientation maps emerge spontaneously under anesthesia. To test if such patterns are synchronized between hemispheres, we performed bilateral imaging in anesthetized cats using a new improved voltage-sensitive dye. We observed map-like activity patterns spanning early visual cortex in both hemispheres simultaneously. Patterns virtually identical to maps associated with the cardinal and oblique orientations emerged as leading principal components of the spontaneous fluctuations, and the strength of transient orientation states was correlated with their duration, providing evidence that these maps are transiently attracting states...
April 13, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28416595/nonsinusoidal-beta-oscillations-reflect-cortical-pathophysiology-in-parkinson-s-disease
#13
Scott R Cole, Roemer van der Meij, Erik J Peterson, Coralie de Hemptinne, Philip A Starr, Bradley Voytek
Oscillations in neural activity play a critical role in neural computation and communication. There is intriguing new evidence that the nonsinusoidal features of the oscillatory waveforms may inform underlying physiological and pathophysiological characteristics. Time-domain waveform analysis approaches stand in contrast to traditional Fourier-based methods, which alter or destroy subtle waveform features. Recently it has been shown that the waveform features of oscillatory beta (13-30 Hz) events-a prominent motor cortical oscillation-may reflect near-synchronous excitatory synaptic inputs onto cortical pyramidal neurons...
April 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28416459/the-error-of-broca-from-the-traditional-localizationist-concept-to-a-connectomal-anatomy-of-human-brain
#14
REVIEW
Hugues Duffau
Neurology, especially aphasiology, was mainly built on behavioral-structural correlations ("lesion method"). In this setting, Broca's area has been considered as the "speech area"; moreover, this observation led to localizationism. However, advances in brain mapping techniques, as functional neuroimaging and direct electrical stimulation in patients undergoing awake surgery for gliomas, has resulted in a paradigmatic shift regarding models of neural architecture. In fact, the brain is organized in distributed complex networks underpinning sensorimotor, visuospatial, language, cognitive and emotional functions...
April 14, 2017: Journal of Chemical Neuroanatomy
https://www.readbyqxmd.com/read/28412441/noise-robust-cortical-tracking-of-attended-speech-in-real-world-acoustic-scenes
#15
Søren Asp Fuglsang, Torsten Dau, Jens Hjortkjær
Selectively attending to one speaker in a multi-speaker scenario is thought to synchronize low-frequency cortical activity to the attended speech signal. In recent studies, reconstruction of speech from single-trial electroencephalogram (EEG) data has been used to decode which talker a listener is attending to in a two-talker situation. It is currently unclear how this generalizes to more complex sound environments. Behaviorally, speech perception is robust to the acoustic distortions that listeners typically encounter in everyday life, but it is unknown whether this is mirrored by a noise-robust neural tracking of attended speech...
April 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28412440/transient-networks-of-spatio-temporal-connectivity-map-communication-pathways-in-brain-functional-systems
#16
Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann
The study of brain dynamics enables us to characterize the time-varying functional connectivity among distinct neural groups. However, current methods suffer from the absence of structural connectivity information. We propose to integrate infra-slow neural oscillations and anatomical-connectivity maps, as derived from functional and diffusion MRI, in a multilayer-graph framework that captures transient networks of spatio-temporal connectivity. These networks group anatomically wired and temporary synchronized brain regions and encode the propagation of functional activity on the structural connectome...
April 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28411410/spatio-temporal-patterns-of-event-related-potentials-related-to-audiovisual-synchrony-judgments-in-older-adults
#17
Yu Man Chan, Michael Julian Pianta, Stefan Bode, Allison Maree McKendrick
Older adults have altered perception of the relative timing between auditory and visual stimuli, even when stimuli are scaled to equate detectability. To help understand why, this study investigated the neural correlates of audiovisual synchrony judgments in older adults using electroencephalography (EEG). Fourteen younger (18-32 year old) and 16 older (61-74 year old) adults performed an audiovisual synchrony judgment task on flash-pip stimuli while EEG was recorded. All participants were assessed to have healthy vision and hearing for their age...
March 18, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28410394/non-fragile-mixed-h%C3%A2-and-passive-synchronization-of-markov-jump-neural-networks-with-mixed-time-varying-delays-and-randomly-occurring-controller-gain-fluctuation
#18
Chao Ma
This paper studies the non-fragile mixed H∞ and passive synchronization problem for Markov jump neural networks. The randomly occurring controller gain fluctuation phenomenon is investigated for non-fragile strategy. Moreover, the mixed time-varying delays composed of discrete and distributed delays are considered. By employing stochastic stability theory, synchronization criteria are developed for the Markov jump neural networks. On the basis of the derived criteria, the non-fragile synchronization controller is designed...
2017: PloS One
https://www.readbyqxmd.com/read/28410048/lag-synchronization-criteria-for-memristor-based-coupled-neural-networks-via-parameter-mismatches-analysis-approach
#19
Ning Li, Jinde Cao, Ahmed Alsaedi, Fuad Alsaadi
This letter focuses on lag synchronization control analysis for memristor-based coupled neural networks with parameter mismatches. Due to the parameter mismatches, lag complete synchronization in general cannot be achieved. First, based on the [Formula: see text]-measure method, generalized Halanay inequality, together with control algorithms, some sufficient conditions are obtained to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error. Moreover, the error level is estimated...
April 14, 2017: Neural Computation
https://www.readbyqxmd.com/read/28409987/collective-phenomena-emerging-from-the-interactions-between-dynamical-processes-in-multiplex-networks
#20
Vincenzo Nicosia, Per Sebastian Skardal, Alex Arenas, Vito Latora
We introduce a framework to intertwine dynamical processes of different nature, each with its own distinct network topology, using a multilayer network approach. As an example of collective phenomena emerging from the interactions of multiple dynamical processes, we study a model where neural dynamics and nutrient transport are bidirectionally coupled in such a way that the allocation of the transport process at one layer depends on the degree of synchronization at the other layer, and vice versa. We show numerically, and we prove analytically, that the multilayer coupling induces a spontaneous explosive synchronization and a heterogeneous distribution of allocations, otherwise not present in the two systems considered separately...
March 31, 2017: Physical Review Letters
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